What is the challenge with cloud-based call center transcription?

While enterprise call centers and BPOs rely heavily on speech-to-text AI for quality assurance and compliance, cloud-based services introduce three critical vulnerabilities:

• Data Security Risks: Sensitive customer voice files must leave secure corporate boundaries for processing.
• Predictable Cost Spikes: Operational pricing scales linearly and unpredictably alongside shifting call volumes.
• Strict Regulatory Demands: Complex frameworks like GDPR, HIPAA, and PCI-DSS mandate strict, auditable governance over how audio and biometric customer data is stored.

What is the secure alternative to cloud transcription?

An On-Premises AI Transcription Server moves the entire processing architecture back in-house. Running entirely within your local infrastructure, it achieves localized data sovereignty without sacrificing speed.

How does the Unigen server optimize localized speech-to-text?

Built on the Poundcake-LLM infrastructure, the system utilizes high-efficiency hardware to completely bypass the open internet:

• Advanced AI Hardware: Driven by Unigen AI modules and powered by energy-efficient EdgeCortix SAKURA-II accelerators, the server delivers an industry-leading 6 TOPS per watt.
• Simultaneous High Volume: Seamlessly runs resource-intensive OpenAI Whisper (medium and large) models across 32 concurrent real-time streams.
• Unmatched TCO: Reduces local operational costs to an amortized rate of approximately $0.006 per minute, per channel.
• Native Multilingual Support: Out-of-the-box support for English, Spanish, German, Japanese, and Dutch ensures cloud-level accuracy while guaranteeing that every byte of audio data remains safely enclosed inside your physical facility.

Why Is AI Transcription Essential for Call Centers?

The global speech analytics market was valued at $4.94 billion in 2025 and is projected to grow from $5.70 billion in 2026 to $15.31 billion by 2034, growing at a 13.15% Compound Annual Growth Rate (CAGR) .

Image Source: Fortune Business Insights

The growth of this market should come as no surprise. As many business owners can attest to, voice interactions are where the most complex (and often the most sensitive) customer issues are resolved.

For call centers handling thousands of daily interactions, AI transcription (the automated conversion of speech into text) is the backbone of modern operations because it allows businesses to:

• Ensure compliance recording for financial regulators (MiFID II, Dodd-Frank)
• Monitor quality across 100% of calls
• Provide real-time coaching to call center employees
• Analyze customer sentiment
• Resolve disputes

Without accurate, timely transcription, these capabilities are impossible to deliver at scale.
Yet despite strong AI adoption in contact centers, a significant portion have not yet deployed speech analytics, primarily citing cost unpredictability, unclear ROI, and concerns about privacy and data security . This gap between adoption intent and actual deployment represents the core opportunity for a more cost-effective, easier-to-deploy solution.

The on-premises deployment model remains dominant in this market, accounting for approximately 70% of speech analytics market revenue (representing a segment value of $3.99 billion in 2026, growing to $10.71 billion by 2034). This trend is primarily driven by strict data privacy requirements in financial services, healthcare, government, and legal sectors .

Challenges with Cloud-Based Transcription

Security and Data Exposure

Voice recordings contain some of the most sensitive data a business handles, including customer financial details, health information, personal identifiers, and proprietary business conversations. Transmitting this data to third-party cloud providers creates exposure at every stage (transmission, processing, and storage).

The risks are not theoretical. In 2023, medical transcription provider Perry Johnson & Associates (PJ&A) suffered a breach that exposed 8.95 million patient records after hackers retained access to its systems for 36 days.

Image Source: Endecom Business IT Solutions

The breach impacted Cook County Health (1.2 million patients) and Northwell Health, New York’s largest healthcare provider. This incident demonstrated the risk of entrusting voice data to third-party transcription vendors.

Regulatory Complexity

Voice data occupies a uniquely sensitive position across multiple regulatory frameworks:

• General Data Protection Regulation (GDPR): Under GDPR, voice recordings constitute personal data and can qualify as biometric data (Article 9 special category) when processed for speaker identification[2]. Sending voice data to cloud providers triggers additional compliance obligations including:
  • Data Processing Agreements (Article 28 GDPR)
  • Cross-border transfer safeguards
  • Vendor security assessments
• Health Insurance Portability and Accountability Act (HIPAA): Under HIPAA, patient voice recordings are protected health information.
• Payment Card Industry Data Security Standard (PCI-DSS): Under PCI-DSS, call recordings containing payment card data must be encrypted and access-controlled, and CVV data must never be stored in any form.

Consequences for Regulatory Non-Compliance

The consequences of failing to comply can be severe. For example, Meta received a €1.2 billion fine in May 2023, the largest GDPR penalty ever, because of data transfers between the EU and the US that did not comply with regulations.

In August 2024, Uber was fined €290 million by the Dutch Data Protection Authority for transferring European driver data to the US without adequate safeguards. GDPR fines can reach up to 4% of worldwide annual turnover or €20 million, whichever is greater.

Top 10 Largest Individual GDPR Fines

Source: GDPR Enforcement Tracker

Expanding and Unpredictable Costs

Cloud transcription pricing appears modest at per-minute rates, but costs escalate rapidly at call center scale. The following table illustrates costs for a typical enterprise workload of 32 concurrent channels operating 24 hours per day across 30 days per month (approximately 43,200 minutes/month).

*Amortized cost per minute per channel based on hardware lease/purchase over 36 months. Unlike cloud pricing, this cost does not increase with usage.

Hidden costs further inflate cloud bills: data egress charges ($0.08-$0.23/GB), feature add-ons for speaker diarization and personally identifiable information (PII) redaction, medical transcription surcharges (3-5x base rates), and custom model endpoint hosting fees. At enterprise scale, the three major hyperscalers (AWS, Google, and Azure) typically cost from $6,000 to $8,000 a month for 32 concurrent channels operating in real time. This represents an annual cost of roughly $72,000 to $96,000 in perpetuity.

Solution: On-Prem AI Transcription Server

One solution is using an on-prem server for AI transcription. The Unigen On-Prem AI Transcription Server contains all speech processing within an air-gapped, on-premises environment. Voice data never leaves your facility. The system runs OpenAI Whisper, the industry’s leading open-source speech recognition model, on purpose-built AI accelerators, delivering cloud-quality accuracy at a fraction of the power consumption and cost of GPU-based alternatives.

How the On-Prem AI Transcription Server Works

The server integrates directly into your call center’s telephony infrastructure. Audio streams from your private branch exchange (PBX), SIP trunks, or contact center platform are routed to the transcription server over your internal network. The Whisper model processes each audio stream in real time, producing timestamped transcripts with speaker diarization. Without any data leaving your network, transcripts are delivered back to your analytics platform, quality management system, or compliance archive.

The system supports 32 concurrent transcription streams using 32 Unigen AI modules (with one SAKURA-II accelerator per module), with higher performance systems being release later this year. The SAKURA-II delivers 60 TOPS at just 10 watts, yielding a power efficiency of 6 TOPS per watt, which is approximately 3x more efficient than the NVIDIA T4 GPUs commonly used for speech workloads[1].

Multilingual Support with Dialect Adaptation

The Unigen transcription server supports five production languages out of the box: English, Spanish, German, Japanese, and Dutch. Whisper’s multilingual architecture, trained on over 5 million hours of labeled and pseudo-labeled audio, provides strong baseline accuracy across all five languages.

However, production call center audio presents challenges where clean speech benchmarks do not capture regional dialects, accented speech, telephony-quality audio (8 kHz), background noise, and domain specific terminology. The Unigen platform addresses these through on-premises fine tuning with LoRA (Low Rank Adaptation), which trains only 1-5% of model parameters while achieving accuracy near full fine-tuning. This approach enables:

• Spanish dialect adaptation: Caribbean, Argentine, Mexican, and Castilian variants each present distinct phonological patterns. LoRA adapters can be trained and swapped per-call to match the caller’s dialect.
• German regional handling: Standard German is well-handled by the base model, while Swiss German and Austrian variants benefit significantly from fine-tuning. Research shows Whisper achieves approximately 21.6% word error rate on Swiss German without fine-tuning.
• Japanese dialect support: Standard Tokyo Japanese performs well out of the box, while regional dialects (Kansai-ben, Tohoku) require targeted fine-tuning. Research demonstrates that fine-tuning Whisper for Japanese can reduce character error rates by more than 50%.
• Dutch and Flemish: The platform handles both Netherlandic Dutch and Belgian Flemish, with LoRA adapters addressing documented accuracy variations between regional dialects, particularly for speakers from West Flanders and Limburg.

Fine tuning can be performed on-premises using as little as 8 hours of labeled dialect data, making customer-specific adaptation practical without sending any audio data offsite.

GDPR Compliance by Design

On-premises transcription dramatically simplifies compliance with the GDPR and associated national implementations. Rather than managing a complex web of third-party Data Processing Agreements, cross-border transfer mechanisms, and vendor audit requirements, on-premises processing collapses the compliance surface area to a single internal data processing operation.

How On-Prem Addresses Key GDPR Requirements

The system also supports compliance with additional regulatory frameworks relevant to multinational call center operations: HIPAA (healthcare call centers handling Protected Health Information), PCI-DSS 4.0 (financial services call centers processing payment card data), and CCPA (California consumer privacy requirements, which explicitly classify audio recordings as personal information).

Transcription Performance

OpenAI Whisper has established itself as the de facto standard for open-source automatic speech recognition. In September 2025, MLCommons selected Whisper Large-v3 as the official ASR benchmark model for MLPerf Inference v5.1, further validating its position as an industry reference.

Accuracy Across Target Languages

Whisper’s word error rates on clean, read-speech datasets provide a performance floor. Real-world call center audio (8 kHz telephony, background noise, diverse accents) typically shows higher error rates, which fine-tuning significantly improves.

WER = Word Error Rate (lower is better). CER = Character Error Rate (used for Japanese). Benchmarks from FLEURS and Common Voice datasets; actual call center performance varies.

On real-world 8 kHz telephony audio (the standard encoding for call centers), a 2025 Voicegain benchmark across 40 call center recordings found Whisper Large-v3 achieved 86.2% accuracy (13.8% WER), competitive with AWS Transcribe at 87.7% accuracy (12.3% WER) and significantly ahead of Google Video at only 68.4% accuracy.

Hardware: Power Efficiency as Competitive Advantage

The Unigen On-Prem AI Transcription Server leverages EdgeCortix SAKURA-II accelerators, which deliver dramatically better power efficiency than the NVIDIA GPUs used by virtually all competing on-premises transcription solutions.

For 32 concurrent Whisper streams, the Unigen server’s estimated total power consumption is approximately 400-500 watts (32 SAKURA-II chips across 32 Unigen AI modules at roughly 256W, plus host CPU and system overhead). An equivalent GPU-based setup would require multiple NVIDIA T4 or A100 cards, consuming 1,000-2,500 watts. This 3-5x reduction in power consumption translates directly to lower operating costs and simplified power and cooling infrastructure requirements.

Benefits of Unigen AI Transcription Server

Cost Predictability

Cloud transcription costs are linear and perpetual: at typical hyperscaler rates, a 32-channel workload costs approximately $72,000-$96,000 per year, indefinitely. On-premises costs are front loaded with hardware CapEx plus installation, then they flatten to operational expenses such as power, which runs $500 to $900 a year for a 400 to 500W system, and partial IT staff allocation. By year three, on-premises total cost of ownership is typically 30-50% lower than cloud. By year five, the gap widens further.

Zero Data Exposure

The entire platform runs on-premises and is fully air-gapped. Source audio, transcripts, fine-tuned models, and all intermediate processing data never leave your environment. This eliminates IP exposure, third-party vendor risk, and the compliance burden of managing external data processors.

Operational Reliability

On-premises systems operate independently of internet connectivity, cloud provider health, and third-party rate limits. Major cloud providers experience multi-hour regional outages multiple times per year. The Unigen server delivers consistent, predictable performance unaffected by network congestion, geographic distance, or external service disruptions. Modules are hot-swappable, so there is no downtime during hardware upgrades.

Customizable AI Models

The system continuously learns from approved improvements, enabling your organization to build proprietary fine-tuned transcription models over time. Industry-specific vocabularies (financial terminology, medical nomenclature, product names), company-specific jargon, and regional dialect adaptations all become part of your internal intellectual property—not shared with outside vendors or cloud providers. Companies can deploy Whisper medium or large models, selecting the optimal trade-off between accuracy and throughput for their specific workload.

Reduced Latency

Due to the modular nature of the Unigen solution, which uses multiple AI modules, latency (wait time) for the next AI module to be ready to transcribe a new incoming call can be reduced compared to relying on a smaller number of large GPUs in a cloud server or needing to add another cloud server to handle increased load. Additionally, the same principles that improve operational reliability also apply to latency: hosting the server on-prem or nearby in a colocation center helps minimize transcription delays during a conversation.

Scalable Architecture

If capacity needs to grow, additional transcription servers can be added at a fixed cost. AI modules can be upgraded when higher-performance solutions are introduced, without replacing the entire server. The E1.S form factor supports hot-swappable modules, enabling capacity changes and hardware upgrades with zero downtime.

Conclusion

AI powered speech transcription is rapidly becoming essential infrastructure for enterprise call centers and BPOs, but the path to deployment must balance accuracy, cost, security, and regulatory compliance. Cloud based transcription services create ongoing exposure of sensitive voice data, unpredictable costs that scale linearly with call volume, and a mounting compliance burden across GDPR, HIPAA, PCI-DSS, and regional privacy regulations.

Unigen’s On-Prem AI Transcription Server gives enterprises a secure, private, and financially stable way to adopt state-of-the-art multilingual transcription without sacrificing performance. Companies can bring AI transcription safely in house by running Whisper on power efficient EdgeCortix SAKURA-II accelerators. This allows them to accelerate their speech analytics capabilities, safeguard customer data, ensure GDPR compliance across European operations, and keep costs low and predictable.

About Unigen AI Transcription Server: Poundcake-LLM

AI Capabilities

• OpenAI Whisper Medium and Large models (up to 1.5B parameters)
• 32 concurrent real-time transcription streams
• 5 production languages: English, Spanish, German, Japanese, Dutch
• On-premises dialect fine-tuning via LoRA adapters
• Approximately $0.06/min/channel amortized cost

Technology

• AIC EB202-CP Chassis, Motherboard, 2 x E3.S Boxes, Dual Power Supply
• AMD Genoa CPU with 16-48 Cores and AVX Media Decoding
• 8-16 Unigen E1.S or E3.S AI Modules (up to 32 EdgeCortix SAKURA-II Processors)
• 256GB DDR5 Unigen RDIMMs
• 960GB Boot Drive (Data Drives Available)
• 2 x 1.92TB E1.S Unigen Data Drives
• 25GbE Networking
• Less than 1200 Watts total power consumption
• Ubuntu 22.04 Operating System

Compliance Support

• GDPR-compliant air-gapped deployment (no cross-border data transfers)
• HIPAA-ready infrastructure for healthcare call centers
• PCI-DSS compatible architecture for financial services
• Active Directory, LDAP, and SSO integration
• Role-based access control and audit logging

About Unigen Corporation

Founded in 1991, Unigen is an established global leader in the design and manufacture of OEM products including SSDs, DRAM modules, NVDIMMs, Enterprise IO, and AI solutions. Unigen also offers a full array of Electronics Manufacturing Services (EMS), including design, quick-turn prototyping, new product introduction, volume production, supply chain management, assembly & test, and aftermarket services. Headquartered in Newark, California, the company operates state-of-the-art manufacturing facilities (ISO-9001/14001/13485 and IATF 16949) in the heart of Silicon Valley as well as offshore in Vietnam and Malaysia. Unigen offers its products and services to customers worldwide targeting a broad range of end markets including automotive, computing and storage, embedded, medical, AI, robotics, clean energy, defense, aerospace, and IoT. Learn more about Unigen’s products and services at unigen.com.

Glossary

• Air-Gapped: A security measure in which a computer, network, or system is physically isolated from unsecured or public networks (such as the internet), reducing the risk of unauthorized access, data leakage, or cyberattacks.
• BPO (Business Process Outsourcer): A company that performs specific business tasks (such as customer service, technical support, or back-office operations) on behalf of other organizations.
• Compound Annual Growth Rate (CAGR): the annual rate of return that shows how an investment grows from its beginning value to its ending value over time, assuming reinvested profits.
• CCPA: The California Consumer Privacy Act, a state privacy law that gives California residents rights over their personal information, including audio recordings.
• GDPR: The General Data Protection Regulation, the EU’s comprehensive data protection law governing how personal data is collected, processed, and stored.
• HIPAA: The Health Insurance Portability and Accountability Act, US federal law protecting the privacy and security of patient health information.
• LoRA (Low-Rank Adaptation): A parameter-efficient fine-tuning technique that trains a small number of additional parameters on top of a pre-trained model, enabling dialect and domain adaptation without retraining the full model.
• PCI-DSS: The Payment Card Industry Data Security Standard, a set of security standards designed to ensure that all companies processing credit card information maintain a secure environment.
• Personally Identifiable Information (PII): any data that can distinguish, trace, or locate an individual’s identity, such as names, social security numbers, or biometric records.
• Private Branch Exchange (PBX): a private telephone network used within companies to manage internal calls and connect to the public switched telephone network (PSTN) for external calls.
• SIP (Session Initiation Protocol): A signaling protocol used for initiating, maintaining, and terminating real-time communication sessions including voice calls.
• Speaker Diarization: the process of partitioning audio recordings into segments based on speaker identity, essentially answering “who spoke when”.
• Whisper: An open-source automatic speech recognition model developed by OpenAI, capable of multilingual transcription across 99 languages.
• WER (Word Error Rate): A standard metric for evaluating speech recognition accuracy, calculated as the number of insertions, deletions, and substitutions divided by the total number of words in the reference transcript.

Sources

• • Fortune Business Insights
  • The HIPPA Journal
  • Intersoft Consulting
  • U.S. Department of Health and Human Services
  • PCI Security Standards Council
  • European Data Protection Board
  • Baseten
  • Voiceagain.ai

The post Guide to On-Prem AI Transcription Servers appeared first on Unigen.

Taking place on April 22 – 23, DMEMS is a premier summit for design, manufacturing, and technology professionals. Unigen will be featured within the Arrow Electronics booth (#324), where attendees can expect to see a video demonstration of the Amaretti E1.S GenAI module.

Unigen’s Product Marketing Director, Oliver Baltuch, will be available on-site to discuss how Unigen’s solutions can address your specific needs and provide further details regarding the Unigen AI Partner Network. To arrange a meeting, please send a message here.

• Date: April 22-23, 2026
• Location: Del Mar Fairgrounds, San Diego, CA
• Booth: #324

About Amaretti E1.S AI Module

Amaretti E1.S is a high-performance, on-prem GenAI module designed to meet the skyrocketing demand for localized generative AI. Powered by the EdgeCortix SAKURA-II accelerator, Amaretti delivers 60 TOPS at just 10W, enabling secure, on-prem LLM and VLM deployment. When paired with AMD or Intel servers, Amaretti is the ideal engine for GenAI and Large Language Model (LLM) applications, supporting models with up to 20 billion parameters.

About the Unigen AI Partner Network

Unigen is also actively engaging with the Unigen AI Partner Network, a new ecosystem designed for System Integrators (SIs), Value-Added Resellers (VARs), and Managed Service Providers (MSPs) who are looking to capitalize on the increasing demand for private, high-security AI deployments.

About Unigen Corporation

Founded in 1991, Unigen is an established global leader in the design and manufacture of OEM products including SSDs, DRAM modules, NVDIMMs, Enterprise IO and AI solutions. Unigen also offers a full array of Electronics Manufacturing Services (EMS), including design, quick-turn prototyping, new product introduction, volume production, supply chain management, assembly & test, and aftermarket services. Headquartered in Newark, California, the company operates state-of-the-art manufacturing facilities (ISO-9001/14001/13485 and IATF 16949) in the heart of Silicon Valley as well as offshore in Vietnam and Malaysia. Unigen offers its products and services to customers worldwide targeting a broad range of end markets including automotive, computing and storage, embedded, medical, AI, robotics, clean energy, and IoT. Learn more about Unigen’s products and services at Unigen.com.

The post Unigen to Showcase New Amaretti GenAI Module at Del Mar Electronics & Manufacturing Show appeared first on Unigen.

Designed to meet the skyrocketing demand for localized generative AI, Amaretti provides a high-density, low-power, on-premise solution for complex workloads. When paired with AMD or Intel servers, Amaretti is the ideal engine for Generative AI and Large Language Model (LLM) applications, supporting models with up to 20 billion parameters.

Ultra-Efficient Intelligence

The Amaretti E1.S AI Module delivers 60 trillion operations per second (TOPS) of AI computing power while consuming only 10 watts. Amaretti E1.S is powered by the EdgeCortix SAKURA-II accelerator, designed to deliver fast, real-time AI inference with high performance in a compact, low power form factor. SAKURA-II is designed to handle the most challenging GenAI applications at the edge, enabling developers to generate new content based on diverse inputs such as images, text, and audio. Amaretti E1.S features up to 32GB memory, and the module delivers an industry-leading 6 TOPS per watt. This level of efficiency allows enterprises to run up to 20 billion parameter LLMs and VLMs locally, without compromising thermal management or system power constraints.

Accelerating Your AI Market Opportunity

Amaretti E1.S enables the delivery of specialized AI hardware that maintains full compatibility with broader hardware ecosystems, offering a significant time-to-market advantage through pre-validated processing capabilities. Beyond raw text processing, Amaretti delivers low-latency performance for Text-to-Speech, Visual Language Models, and YOLO object detection. By leveraging its proprietary MERA SDK, Amaretti ensures that AI tasks never compete for resources, excelling in time-sensitive requirements for mission-critical robotics, secure AI agents, aerospace, defense and intelligent industrial monitoring applications.

Comprehensive Safe AI Framework Ecosystem

The Amaretti E1.S provides flexibility for AI architects and system integrators, featuring seamless integration with industry-standard frameworks including TensorFlow, PyTorch, ONNX, and Hugging Face. This modular approach protects infrastructure investments while delivering up to a 10x reduction in operational costs compared to cloud-dependent architectures. Crucially, Amaretti eliminates security and data privacy concerns through its on-prem architecture, allowing enterprises to leverage their proprietary IP without ever exposing sensitive data to the public web.

“As part of our expanding roadmap for Edge AI modules and servers, the Amaretti E1.S is the first in a line of modules designed to support the latest in Generative AI,” said Paul W. Heng, Founder and CEO of Unigen. “By focusing on accessible, high-performance solutions for small and medium businesses, Unigen is once again leading the enterprise technology market with high-density, high-value computing.”

“We’re proud to partner with Unigen and bring SAKURA-II into the Amaretti platform, enabling our energy-efficient AI to scale into server-class deployments through a high-density, modular form factor,” said Sakyasingha Dasgupta, Founder and CEO of EdgeCortix. “This is a key step in expanding the thick edge, bringing powerful and efficient AI closer to where real-world decisions happen. Together, we are not only enabling a new class of on-device systems, but also paving the way for agentic AI that can operate autonomously in dynamic environments. We’re continuing to push our silicon and software forward to support this shift toward faster, more adaptive, and energy-efficient intelligence.”

Join Unigen at the MSP Summit at The Venetian, Las Vegas (booth #MSP16), from April 13-14 to explore our AI capabilities and 2026 product roadmap. You can also find EdgeCortix at NexTech Tokyo Spring 2026 (Booth #1-30, West Hall 1) from April 15-17, where they will showcase live demonstrations of scalable edge AI and partner applications.

About Unigen Corporation

Founded in 1991, Unigen is an established global leader in the design and manufacture of OEM products including SSDs, DRAM modules, NVDIMMs, Enterprise IO and AI solutions. Unigen also offers a full array of Electronics Manufacturing Services (EMS), including design, quick-turn prototyping, new product introduction, volume production, supply chain management, assembly & test, and aftermarket services. Headquartered in Newark, California, the company operates state-of-the-art manufacturing facilities (ISO-9001/14001/13485 and IATF 16949) in the heart of Silicon Valley as well as offshore in Vietnam and Malaysia. Unigen offers its products and services to customers worldwide targeting a broad range of end markets including automotive, computing and storage, embedded, medical, AI, robotics, clean energy, and IoT. Learn more about Unigen’s products and services at Unigen.com.

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At this year’s summit, Unigen will unveil an expansion of its AI product portfolio with the debut of its first Generative AI module. Designed for seamless integration into on-premises and Edge AI environments, this new module joins Unigen’s current portfolio of inference AI solutions.

In addition to the GenAI module launch, Unigen is officially opening the Unigen AI Partner Network. This ecosystem is specifically designed for System Integrators, Value-Added Resellers, and Managed Service Providers looking to capitalize on the increasing demand for private, high-security AI deployments.

Visit Unigen at MSP Summit

Attendees are invited to visit Booth #MSP16 to see a video demonstration of Unigen’s AI capabilities and discuss Unigen’s product roadmap for 2026. Unigen’s Product Marketing Director, Oliver Baltuch, will be available on-site to discuss how Unigen’s solutions can address your specific needs and provide further details regarding the Unigen AI Partner Network. To arrange a meeting, please send a message here.

• Date: April 13-14, 2026
• Location: The Venetian, Las Vegas, NV
• Booth: #MSP16

About Unigen Corporation

Founded in 1991, Unigen is an established global leader in the design and manufacture of OEM products including SSDs, DRAM modules, NVDIMMs, Enterprise IO and AI solutions. Unigen also offers a full array of Electronics Manufacturing Services (EMS), including design, quick-turn prototyping, new product introduction, volume production, supply chain management, assembly & test, and aftermarket services. Headquartered in Newark, California, the company operates state-of-the-art manufacturing facilities (ISO-9001/14001/13485 and IATF 16949) in the heart of Silicon Valley as well as offshore in Vietnam and Malaysia. Unigen offers its products and services to customers worldwide targeting a broad range of end markets including automotive, computing and storage, embedded, medical, AI, robotics, clean energy, and IoT. Learn more about Unigen’s products and services at Unigen.com.

The post Unigen to Unveil High-Performance On-Prem GenAI Module and New AI Partner Network at MSP Summit 2026 appeared first on Unigen.

Why AI Coding Tools Are Becoming Essential

It’s no secret that software teams are becoming increasingly reliant on AI coding assistants. In fact, according to SecondTalent, 41% of all code in 2025 is AI generated or AI assisted and 76% of professional developers either use AI coding tools or are planning to adopt them soon. These  AI coding assistants are popular for good reasons. They dramatically increase software development speed, improve accuracy, and free engineers from having to do repetitive tasks. For example, one study found that developers using GitHub Copilot completed tasks up to 55% faster. As reliance on these AI tools grows, companies will require air-gapped coding servers capable of running generative AI models with a minimum 20 billion parameters.

While the main cloud-based coding large language models (LLMs) that exist today (like Anthropic’s Claude) are capable of sophisticated code generation, Unigen is charting a different path. Unigen is building a new generation of multi-module servers using AI modules with inference silicon that can provide efficient performance in a low-power, economical, Open Compute Platform (OCP) format. These systems can support generative AI LLMs, such as OpenAI’s GPT-OSS-20B.

The Issue with Cloud-Based Coding

There are several issues corporations must consider before allowing their software teams to use the Cloud for their coding.

Security

Every line of code is intellectual property (IP). Letting this code outside of a company’s shared cloud environment can directly expose a company’s deepest secrets to a host of others who may not have the best intentions.

In fact, even major providers have stumbled. In 2024, Microsoft Copilot inadvertently exposed private GitHub repositories from 16,000+ organizations, leaking over 300 credentials and 100 internal software packages through Bing’s caching system.

IP Contamination

When generative models are trained on or interact with mixed datasets, there is a risk of the company’s data being linked to open sources with unclear licenses. This can lead companies to be exposed by using open source without a clean title to the IP.

According to TechTarget, “coding assistants might generate large chunks of licensed open source code verbatim, which leads to IP contamination in the new codebase.”

Expanding Costs

The cost of using cloud AI computing resources is continuing to grow without any bounds or limits. On top of that, many teams find out that their production code costs much more than they were expecting prior to the completion of a critical project.

According to Ficus Technologies, in 2025, companies spent $30,000 to $80,000 per year just to keep models running at scale. Additionally, there are hidden costs like MLOps operations and model retraining.

Solution: A Secure On-Prem Alternative

One solution to these issues is to contain the AI coding to an air-gapped, on-prem server. This solution protects source code and IP from being intercepted by bad actors. Additionally, an on-prem server can have its code managed and contained to prevent it from using any other data or Gen AI solutions except those that are managed by the corporation and its IT experts. Finally, through a wholly owned or leased server, the costs are well understood at the outset, eliminating surprise token spikes or compute overage charges. The result is a cloud-quality AI coding platform that delivers security, control, and financial clarity.

How the Unigen AI Coding Server Works

IT Setup and Configuration of AI Coding Server

Deployment begins with standard enterprise hardware procedures. IT teams unpack and mount the server hardware, then install the server and connect it to the local private network according to organizational standards. The configuration of network security follows established enterprise practices, including the implementation of firewall rules, VLAN segmentation, and port allow listing to ensure the server operates within defined security boundaries. The system arrives with a pre-installed operating system and software stack designed to simplify diagnostics and streamline the AI coding environment installation process.

The server integrates directly with your organization’s identity management infrastructure, supporting Active Directory, Lightweight Directory Access Protocol (LDAP), and single sign-on (SSO) solutions to maintain consistent authentication protocols across your environment. IT administrators establish resource allocation policies that define parameters such as concurrent user limits and token consumption thresholds, ensuring optimal performance and fair resource distribution. Access privileges are granted based on specific project requirements, allowing granular control over who can utilize the AI coding capabilities. Security policies and data governance rules are configured to align with organizational compliance requirements, while code repository access and permissions are established to control how the AI interacts with existing codebases. Following configurations, IT performs connectivity testing and initial validation to ensure the system is ready for production use.

User Experience

The developer experience is designed to be intuitive and familiar, requiring minimal training or adjustment to existing workflows.

Onboarding

Users begin by installing a lightweight extension on their preferred integrated development environment on their local client machine. Authentication occurs through a login process using credentials provided by IT for the AI Coding Server, leveraging either SSO or standard enterprise credentials to maintain security consistency. Once authenticated, developers interact with the Coding Agent through a chat interface reminiscent of ChatGPT or Cursor, positioned conveniently within their integrated development environment (IDE) workspace.

AI Coding Configuration

Developers configure their workspace preferences and model parameters according to their specific needs and coding style. The system requires explicit permission grants for accessing the tools and code involved in the current workflow, including file system access, Git repository interaction, and terminal command execution. This permission model ensures transparency and maintains security boundaries while enabling the AI to function effectively.

Code Generation Planning

When a developer poses a question or task to the Unigen AI Code Agent, the system demonstrates its capabilities primarily in Python, TypeScript, and JavaScript. The AI analyzes the existing codebase context and tools to understand the project structure and conventions. It then creates a comprehensive plan of action outlining the optimal approach to accomplish the requested task.

Human Review

Before any changes are applied, developers can preview proposed modifications in a side by side view, allowing careful review of what the AI intends to change. Developers maintain complete control, approving changes or requesting adjustments through additional prompts to refine the output.

Built-In Testing and Automation

The system automatically generates unit test cases to verify code correctness and functionality, but all code execution requires explicit user approval at every step. This human-in-the-loop approach ensures developers maintain oversight throughout the coding process. Generated code undergoes security scanning, with results presented for review before integration into the codebase. This iterative process of requesting, reviewing, and refining continues as needed, creating a collaborative relationship between developer and AI agent.

Benefits of Unigen AI Coding Server

Unigen’s AI Coding Server offers a set of advantages designed with SMB software engineering teams in mind.

The system continuously learns from approved improvements, enabling your company to build proprietary fine-tuned AI coding agents over time. To further enrich this knowledge base, the platform supports the integration of code from pre-approved outside sources and libraries, allowing you to leverage industry-standard frameworks within your secure environment. This means your organization’s workflows, coding standards, and architectural preferences become part of your internal IP and aren’t shared with outside vendors or cloud models. Because the entire platform runs on-prem and is fully air-gapped, source code never leaves your environment, eliminating IP exposure and compliance risk.

Cost predictability is another key benefit. Unlike cloud-based AI tools with unpredictable token usage or abrupt pricing changes, Unigen provides a stable cost structure whether you lease or purchase the hardware. Development performance matches popular cloud tools such as Cursor, Windsurf, and Kiro, but with unlimited tokens and no API errors caused by network or rate-limit issues.

The platform significantly improves engineering efficiency, saving both senior and junior developers 10+ hours per week through automated unit testing, documentation, and CI/CD assistance. Productivity increases of 26% – 40% are common, contributing to a strong return on investment, often estimated at 30x or more. If a customer wants to expand their capabilities, they can add additional coding servers at a fixed cost or upgrade their AI modules when higher performance solutions are introduced. Modules are hot-swappable so there is no downtime during upgrade.

Finally, companies can customize the system’s AI agents or deploy specialized LLMs up to 20B parameters, enabling tailored workflows for unique software development needs.

Conclusion

The use of AI coding assistants is expected to grow significantly as the technology matures, but security, IP control, and cost stability must be prioritized. Unigen’s AI Coding Server gives companies a secure, private, and financially stable way to adopt state-of-the-art AI coding capabilities without sacrificing performance or developer experience. By bringing AI safely in-house, companies can accelerate software development, safeguard their IP, and keep costs low and predictable.

About Unigen’s Secure AI Coding Server: Poundcake-LLM

AI Capabilities

• Up to 20B-parameter Generative AI (LLM/VLM)
• 240 tokens/sec with 16 Unigen Tiramisu modules

Technology

• AIC EB202-CP Chassis, Motherboard, 2 x E3.S Boxes, Dual Power Supply
• AMD Genoa CPU with 16-48 Cores and AVX Media Decoding
• 8 – 16 Unigen E3.S Tiramisu AI Modules (up to 32 EdgeCortix SAKURA-II Processors)
• 256GB DDR5 Unigen RDIMMs
• 960GB Boot Drive (Data Drives Available)
• 2 x 1.92TB E1.S Unigen Data Drives
• 25GbE Networking
• Less than 1200 Watts total power consumption
• Ubuntu 22.04 Operating System

About Unigen Corporation

Founded in 1991, Unigen is an established global leader in the design and manufacture of OEM products including SSDs, DRAM modules, NVDIMMs, Enterprise IO, and AI solutions. Unigen also offers a full array of Electronics Manufacturing Services (EMS), including design, quick-turn prototyping, new product introduction, volume production, supply chain management, assembly & test, and aftermarket services. Headquartered in Newark, California, the company operates state-of-the-art manufacturing facilities (ISO-9001/14001/13485 and IATF 16949) in the heart of Silicon Valley as well as offshore in Vietnam and Malaysia. Unigen offers its products and services to customers worldwide targeting a broad range of end markets including automotive, computing and storage, embedded, medical, AI, robotics, clean energy, defense, aerospace, and IoT. Learn more about Unigen’s products and services at unigen.com.

Glossary

• Air-Gapped: A security measure in which a computer, network, or system is physically isolated from unsecured or public networks (such as the internet). This separation reduces the risk of unauthorized access, data leakage, or cyberattacks.
• ChatGPT: An AI-powered language model developed by OpenAI that can understand and generate human-like text. It is used for tasks such as drafting content, answering questions, generating code, and assisting with research.
• Cursor: An AI-enhanced code editor that predicts your next edit, answers questions about your codebase, and writes or modifies code using natural-language prompts.
• Generative AI (GenAI): a type of artificial intelligence designed to create new content such as text, images, music or even code by learning patterns from existing data.
• Git Repository: A version-controlled storage location that contains a project’s files as well as the complete history of changes. It enables collaborative development, tracking of modifications, branching, and rollback to previous versions.
• Integrated Development Environment (IDE): A software that combines commonly used developer tools into a compact GUI (graphical user interface) application. It is a combination of tools like a code editor, code compiler, and code debugger with an integrated terminal.
• Intellectual Property (IP): Creations of the mind, including inventions, literary and artistic works, designs, symbols, names, and images used in commerce. IP is protected by law (e.g., patents, copyrights, trademarks) to provide recognition and financial benefit to creators.
• JavaScript: A dynamic, high-level programming language commonly used to build interactive and responsive features on websites and web applications.
• Kiro: AWS’s AI-powered Integrated Development Environment (IDE). Unlike tools such as Cursor or Windsurf, Kiro is specification-driven: it converts prompts into requirements, designs, and validated code.
• Large Language Models (LLMs): Advanced machine-learning models trained on vast amounts of text data to understand, generate, and manipulate natural language. They support tasks such as summarization, reasoning, coding, translation, and conversational interaction.
• Lightweight Directory Access Protocol (LDAP): A protocol used to access and manage directory information over a network. It provides a lightweight alternative to the X.500 directory service, enabling centralized authentication, user management, and resource lookup.
• On-Premises (On-Prem): Software, hardware, or infrastructure that is installed and operated within an organization’s physical location, offering increased control over data, privacy, and customization compared to cloud-hosted solutions.
• Open Compute Project (OCP): An open-source initiative that develops and shares designs for energy-efficient, scalable data center hardware. OCP promotes innovation and cost savings in server, storage, and networking infrastructure.
• Python: A high-level, general-purpose programming language known for its readability, simplicity, and extensive ecosystem. It is widely used in fields such as web development, automation, data science, and AI.
• Single Sign-On (SSO): An authentication method that enables users to log in once and gain access to multiple systems or applications without re-entering credentials.
• TypeScript: A typed superset of JavaScript that adds static type checking and modern language features. It compiles to JavaScript and improves maintainability and reliability in large codebases.
• User Experience (UX): The overall quality of a user’s interaction with a product, system, or service, including ease of use, accessibility, efficiency, and satisfaction.
• VLAN Segmentation: A network design technique that divides a physical network into multiple virtual local area networks (VLANs). This enhances performance, improves security, and isolates traffic between groups of devices.
• Windsurf: A company that provides an AI-powered code editor designed to help developers write, understand, and modify code more efficiently through intelligent automation.

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The expanded agreement enables Arrow to offer Unigen’s compact computing products through its well-established global distribution network.

Arrow’s components business has strong sales channels and technical capabilities for embedded devices, making it ideal to help Unigen reach more industrial, commercial, and OEM customers.

Unigen’s Edge Server Solutions, available with integrated AI as well as standalone computing platforms, deliver enterprise-grade performance in a small, power-efficient form factor designed for edge applications. With Arrow’s reach and expertise, Unigen will be able to better serve customers seeking to integrate AI capabilities directly into their systems.

“Arrow has been our go-to in building our latest AI modules and compact gateways,” said Oliver Baltuch, Unigen’s Product Marketing Director. “Their combination of technical expertise, geographic reach, and strong sales acumen makes them a natural partner for Unigen across our entire line of OEM products.”

About Unigen’s Edge Server Solutions

These new platforms provide a complete choice of hardware and software in a ruggedized enclosure. They provide multiple interfaces and the ability for customization to empower customers to unleash the full potential of AI technology.

The Cupcake Edge AI Server

The Cupcake Edge AI Server is a reliable, high-performance, low-latency, and energy-efficient platform designed for machine learning and AI inference at the edge. Housed in a compact, rugged enclosure, Cupcake integrates flexible I/O interfaces and expansion capabilities, enabling seamless video capture and signal processing via Power-over-Ethernet (PoE) ports. It efficiently delivers processed data to clients over wired or wireless networks.

The Cupcake Compact Edge Server (no AI)

The Cupcake Compact Edge Server (no AI) allows organizations to process complex workloads locally, sending only essential data to cloud applications or enterprise data centers. This reduces cloud operational costs, data transfer loads, and latency, while increasing data privacy and efficiency.

The Unigen Cupcake family is currently in production and qualified to IPX5 and IEC 60950 standards.

About Unigen Corporation

Founded in 1991, Unigen is an established global leader in the design and manufacture of OEM products including SSDs, DRAM modules, NVDIMMs, Enterprise IO, and AI solutions. Unigen also offers a full array of Electronics Manufacturing Services (EMS), including design, quick-turn prototyping, new product introduction, volume production, supply chain management, assembly & test, and aftermarket services. Headquartered in Newark, California, the company operates state-of-the-art manufacturing facilities (ISO-9001/14001/13485 and IATF 16949) in the heart of Silicon Valley as well as offshore in Vietnam and Malaysia. Unigen offers its products and services to customers worldwide targeting a broad range of end markets including automotive, computing and storage, embedded, medical, AI, robotics, clean energy, defense, aerospace, and IoT. Learn more about Unigen’s products and services at unigen.com.

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In addition to being named a Top 100 Enterprise of Choice and ranking in the top two for a medium sized enterprise in the manufacturing industry, Unigen Vietnam was also recognized for excellence in employee satisfaction, candidate experience, and workplace sustainability.

Unigen’s Key Achievements

• #21 Enterprise of Choice – Medium Enterprise
• #2 Manufacturing Industry
•  #2 Internal Staff Vote
• #6 Candidate Experience
• #14 Sustainability

Unigen Vietnam earned this distinction based on the results of a large-scale, independent nationwide survey. The non-profit survey program, organized by CareerViet with methodological support from Amco Vietnam, ran from July 7 through October 31, 2025. In total, more than 88,000 employees representing 6,700 companies across Vietnam contributed to the results.

“This award is especially meaningful because it was voted on by our own employees and industry peers,” said Vinay Shinde, Vice President of Operations for Unigen Vietnam. “I’m incredibly proud of the Unigen Vietnam team and the culture they’ve built. This honor only motivates us to keep raising the bar, especially in sustainability, employee satisfaction, and the overall candidate experience. At Unigen, we don’t just offer jobs to our employees. We offer them a career and much more. We hire the best talent and empower them to make decisions and show impact.”

“Being recognized nationally for our candidate experience is a truly meaningful achievement for us,” said Merry Phan, Senior HR & Admin Manager for Unigen Vietnam. “We believe every interaction with a candidate marks the beginning of a long-term partnership. We are grateful to everyone who has chosen to explore their career with us, and to our employees who bring our values to life.”

Unigen remains committed to investing in its people and workplace worldwide. This ensures that the company continues to be a place where employees are inspired to deliver the highest-quality OEM products and electronics manufacturing services to customers around the world.

About Unigen Corporation

Founded in 1991, Unigen is an established global leader in the design and manufacture of OEM products including SSDs, DRAM modules, NVDIMMs, Enterprise IO, and AI solutions. Unigen also offers a full array of Electronics Manufacturing Services (EMS), including design, quick-turn prototyping, new product introduction, volume production, supply chain management, assembly & test, and aftermarket services. Headquartered in Newark, California, the company operates state-of-the-art manufacturing facilities (ISO-9001/14001/13485 and IATF 16949) in the heart of Silicon Valley as well as offshore in Vietnam and Malaysia. Unigen offers its products and services to customers worldwide targeting a broad range of end markets including automotive, computing and storage, embedded, medical, AI, robotics, clean energy, defense, aerospace, and IoT. Learn more about Unigen’s products and services at unigen.com.

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Unigen, a prominent hardware manufacturer specializing in Edge AI technology, has recently inaugurated its advanced manufacturing plant in Kulim Hi-Tech Park, Malaysia. This strategic expansion aims to cater to the escalating market demands and bolster its global presence.

The state-of-the-art facility is tailored with cutting-edge automation and manufacturing systems, focusing on burgeoning sectors like artificial intelligence and smart cities.

The eco-friendly construction of the factory underscores Unigen’s dedication to sustainability, aligning with environmental responsibility.

CEO Paul W. Heng expressed, “Our investment in the Malaysia facility signifies our commitment to customer support and operational resilience. By incorporating cutting-edge technologies, we aim to address the evolving needs of emerging markets effectively.”

The substantial investment encompasses advanced technology and a skilled local workforce to sustain Unigen’s growth trajectory.

Headquartered in California, Unigen is a renowned global entity offering a diverse range of OEM products, including SSDs, memory modules, and AI-powered IoT platforms.

This new establishment fortifies Unigen’s operational resilience and enables swift responses to dynamic demands in emerging markets.

About Unigen Corporation

Founded in 1991, Unigen is an established global leader in the design and manufacture of OEM products including SSDs, DRAM modules, NVDIMMs, Enterprise IO, and AI solutions. Unigen also offers a full array of Electronics Manufacturing Services (EMS), including design, quick-turn prototyping, new product introduction, volume production, supply chain management, assembly & test, and aftermarket services. Headquartered in Newark, California, the company operates state-of-the-art manufacturing facilities (ISO-9001/14001/13485 and IATF 16949) in the heart of Silicon Valley as well as offshore in Vietnam and Malaysia. Unigen offers its products and services to customers worldwide targeting a broad range of end markets including automotive, computing and storage, embedded, medical, AI, robotics, clean energy, defense, aerospace, and IoT. Learn more about Unigen’s products and services at unigen.com.

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Edge AI hardware manufacturer Unigen announces full operation of its new manufacturing facility in Kulim Hi-Tech Park, Malaysia to accommodate its global expansion and increasing market demand.

The model factory is equipped with automation and manufacturing systems specific to growing markets, including artificial intelligence and smart cities.

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