AI & HPC Systems — Built in the USA since 2016

AI Workstations & LLM Servers for
Machine Learning & High-Performance AI

Purpose-built for model training, inference, simulation, and data-intensive workflows. Optimized for multi-GPU scaling, high memory bandwidth, and long-term reliability.

4–8 wkAvg. break-even vs. cloud
Since 2016Building AI systems
3-yearParts warranty
LifetimeUS-based support
Is cloud GPU costing you more than owning?
Free calculator — see your exact break-even in 60 seconds. No email required.
Calculate my ROI →
3-year parts warranty
Lifetime US-based support
48-hr burn-in certified
Ships in 5–10 business days
Pre-installed & validated
Custom configured

Choose your system

Choose the Right System for Your Workflow

Every system is fully configurable. These are starting points, not limits.

AI Machine Learning Workstation by VRLA Tech
Solo · Small team AI Machine Learning Workstations Optimized for TensorFlow, PyTorch, JAX, CUDA, and multi-GPU model training with high VRAM options. View systems →
Scientific Computing Workstation by VRLA Tech
Research · HPC Scientific Computing Workstations Built for MATLAB, CUDA simulations, COMSOL, and research workloads demanding compute density and stability. View systems →
Data Science Workstation by VRLA Tech
Data teams · Analytics Data Science Workstations Designed for Python, Pandas, RAPIDS, visualization, and memory-heavy analytics pipelines. View systems →
Large Language Model Server by VRLA Tech
Enterprise · Production AI Large Language Model Servers Tailored for LLaMA, Mistral, fine-tuning, inference, and multi-GPU workflows with maximum bandwidth. View systems →
Generative AI Workstation by VRLA Tech
Creative studios · AI artists Generative AI Workstations Purpose-built for Stable Diffusion, multimodal AI, image and video generation workflows. View systems →

VRLA Tech AI workstation professional setup

Built for professionals who can’t afford to wait.

Every VRLA Tech system is custom-configured, 48-hour burn-in tested, and delivered ready to run your exact workload — not a generic box off a shelf.


The math most teams never do

Most AI teams are overpaying for cloud GPU.

At $4,000/month on cloud GPU, you’re spending $192,000 over 4 years on compute you don’t own, can’t control, and lose the moment you stop paying.

The cloud problemBills grow every month. H100 queues block your team. Data on shared infrastructure. You own nothing at the end.
The VRLA alternativeOne investment. Dedicated GPU 24/7. Your data on-premise. No queues, no throttling, no surprise billing.
The typical resultBreak-even in 4–8 weeks. Over 4 years the difference is often $150k–$280k in your favor.

See your exact numbers in 60 seconds — no email required.

Calculate my ROI now →

Validated & ready

Your stack, pre-configured

Every system ships with drivers pre-installed and validated for your frameworks. Plug in and start training.

AI / ML
TensorFlowPyTorchJAXHugging FaceDeepSpeedRAPIDS
LLMs
vLLMTensorRT-LLMTGILLaMA 3MistralQLoRA
Generative AI
Stable DiffusionComfyUIAUTOMATIC1111RunwayControlNet
Infrastructure
CUDAcuDNNTensorRTNCCLDockerOpenMPI

Why VRLA Tech

We’re not a big OEM. That’s the point.

Dell and HP build for the average customer. We build for your exact workload, budget, and timeline.

1
In business since 2016Nearly a decade building mission-critical compute for AI researchers, universities, government agencies, and enterprise teams.
2
First to marketFirst Threadripper Pro 9995WX workstation before Dell, HP, or Lenovo — as covered by TechRadar.
3
Real engineers, real supportTalk to the team that built your machine. Lifetime support — no call centers, no chatbots.
4
Transparent pricingNo “contact sales.” No 3-month procurement. You see the price, you order, it ships.
5
Performance per dollarWe’ll tell you honestly if a cheaper config handles your workload. No upselling, ever.
6
Ships in 5–10 daysFully stocked warehouse. Most custom systems ship within the week — not months.

Our customers include

Press

What the industry is saying

Featured
It’s not HP, Lenovo, or Dell leading the way here, but VRLA Tech — a custom builder stepping into the spotlight with the first Threadripper Pro 9995WX workstation PC to hit the market.” Read the full article on TechRadar →

What customers say

Trusted by AI teams across the US

Real feedback from researchers, engineers, and studios.

★★★★★“You fulfilled my 7 Threadripper PRO workstation with 2 Blackwell 6000 GPUs. You saved my soul! Spectacular quality, spectacular customer service, best price I could find — and I did my research.”Verified customer · Enterprise AI team
★★★★★“VRLA Tech delivered fast and strong. Got my project up and running ASAP and I have already been back 3 times. Their price is fair and their craftsmanship is ideal. Highly recommended.”Verified customer · AI researcher
★★★★★“Far more valuable to have a professional team ensure build quality, shipping, and a two-year warranty. I wouldn’t trust this level of investment to anyone else.”Verified customer · ML engineer

Ready to build your AI system?

Talk to our engineering team — we’ll spec the right system for your workload, budget, and timeline. No sales pressure, just honest advice.

ACCESSORIES

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Additional information

AI Machine Learning Workstations
Designed for training and deploying models in frameworks like TensorFlow, PyTorch, and JAX. These workstations are optimized for fast iteration, with high-core-count CPUs, multi-GPU configurations, and lightning-fast storage for handling large datasets and complex computations.

Generative AI Workstations
Purpose-built for workflows involving Stable Diffusion, text-to-image synthesis, generative video, and multimodal AI models. With high VRAM GPUs, support for multiple GPUs, and large memory pools, these systems are ready for creative AI tasks at scale.

Data Science Workstations
Ideal for data preprocessing, statistical modeling, visualization, and machine learning development. These systems are optimized for tools like Python, R, and Julia, and feature balanced CPU/GPU power with plenty of memory bandwidth to process large datasets efficiently.

Large Language Model (LLM) Servers
Tailored for training, fine-tuning, and inference of large transformer models such as LLaMA, Falcon, and Mistral. With ultra-high GPU compute density, maximum PCIe bandwidth, and support for high-speed interconnects, these systems are ready for cutting-edge NLP development.

Scientific Computing Workstations
Built to accelerate scientific simulations, mathematical modeling, and CUDA-based computation. Ideal for professionals using MATLAB, Simulink, COMSOL, and custom HPC applications, these systems combine raw CPU power with GPU acceleration for breakthrough performance in research environments.

AI & HPC Workstations Built for Performance at Scale
At VRLA Tech, we build uncompromising, high-performance workstations designed to tackle the most demanding workloads in artificial intelligence, machine learning, generative AI, scientific computing, data science, and large language model (LLM) development. Whether you’re running deep learning training loops, performing complex simulations, or managing vast datasets, our AI / HPC workstations are engineered for maximum compute density, I/O bandwidth, thermal efficiency, and long-term stability. Our systems are not generic off-the-shelf builds—they are tailored, tested, and tuned for real-world use in TensorFlow, PyTorch, RAPIDS, JAX, CUDA, Hugging Face Transformers, and high-performance computing tools like MATLAB and Simulink. Every component is hand-selected to minimize bottlenecks across the entire pipeline—from data ingestion and preprocessing to final inference or rendering.

Choose the Right CPU Architecture: Ryzen, Core, Threadripper PRO, EPYC, Xeon
Your CPU is the foundation of performance, and we offer a range of options based on your workload:
● AMD Ryzen™ 9 X3D and Intel Core™ i9-14900K – best for high-frequency, lightly-threaded tasks like real-time analytics and ML experimentation.
● AMD Ryzen™ Threadripper PRO – up to 96 cores, 192 threads, and 128 PCIe Gen5 lanes—ideal for LLM development and multi-GPU AI training.
● Intel Xeon® W-2400/W-3400 Series – ECC support, AVX-512, and massive bandwidth for simulations and HPC workloads.
● AMD EPYC™ 9004 Series – server-grade multi-threading with up to 12-channel DDR5 support for large-scale research and enterprise AI deployment.

Unleash the Power of GPU Acceleration
For AI, rendering, and simulation, GPU power is essential. We support:
● NVIDIA GeForce RTX 5090 /RTX 5080 – excellent consumer-grade AI and deep learning performance.
● NVIDIA RTX PRO 6000 Blackwell– enterprise-ready GPUs for 24/7 workloads with ECC and ISV certification.
● Multi-GPU support with NVLink and PCIe Gen5 x16 for distributed training, model parallelism, and accelerated workflows.

Our systems are tuned for full compatibility with CUDA, cuDNN, TensorRT, and all major AI frameworks.

Memory and Storage for Data-Intensive Workloads
Up to 2TB DDR5 ECC memory supported on EPYC and Threadripper PRO platforms. PCIe Gen4/Gen5 NVMe SSDs with optional RAID for blazing read/write speeds. Hybrid storage tiers with SATA SSDs, HDDs, and hot-swap bays for datasets and checkpoints. Support for scratch caching, high-throughput preprocessing, and out-of-core training.

Optimized for AI, LLMs, Simulation & Research Workflows

Our AI / HPC Workstations are validated for performance with:
AI/ML: TensorFlow, PyTorch, JAX, Hugging Face Transformers, DeepSpeed Generative AI: Stable Diffusion XL, ComfyUI, ControlNet, DALLE, Runway Data Science: Python, R, Pandas, Scikit-learn, RAPIDS LLMs: LLaMA 3, Mistral, Falcon, GPT-J, Orca, QLoRA Scientific Computing: MATLAB, Simulink, COMSOL, OpenFOAM Rendering: OctaneRender, Redshift, V-Ray, Arnold, CUDA-accelerated pipelines

Why Choose VRLA Tech for AI / HPC Workstations
● Custom-built systems tailored to your exact workload and software stack
● Powered by Intel, AMD, and NVIDIA components with full compatibility
● 3-Year parts warranty and lifetime U.S.-based support
● Thermally tuned for 24/7 operation under full load Available in tower, rackmount, or desktop form factors
Get Started Today
Whether you’re training cutting-edge LLMs, performing high-resolution simulations, or building scalable data pipelines, VRLA Tech’s AI and HPC Workstations deliver unmatched performance and long-term reliability. Let us help you build the perfect workstation for your next big breakthrough.
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U.S Based Support
Based in Los Angeles, our U.S.-based engineering team supports customers across the United States, Canada, and globally. You get direct access to real engineers, fast response times, and rapid deployment with reliable parts availability and professional service for mission-critical systems.
Expert Guidance You Can Trust
Companies rely on our engineering team for optimal hardware configuration, CUDA and model compatibility, thermal and airflow planning, and AI workload sizing to avoid bottlenecks. The result is a precisely built system that maximizes performance, prevents misconfigurations, and eliminates unnecessary hardware overspend.
Reliable 24/7 Performance
Every system is fully tested, thermally validated, and burn-in certified to ensure reliable 24/7 operation. Built for long AI training cycles and production workloads, these enterprise-grade workstations minimize downtime, reduce failure risk, and deliver consistent performance for mission-critical teams.
Future Proof Hardware
Built for AI training, machine learning, and data-intensive workloads, our high-performance workstations eliminate bottlenecks, reduce training time, and accelerate deployment. Designed for enterprise teams, these scalable systems deliver faster iteration, reliable performance, and future-ready infrastructure for demanding production environments.
Engineers Need Faster Iteration
Slow training slows product velocity. Our high-performance systems eliminate queues and throttling, enabling instant experimentation. Faster iteration and shorter shipping cycles keep engineers unblocked, operating at startup speed while meeting enterprise demands for reliability, scalability, and long-term growth today globally.
Cloud Cost are Insane
Cloud GPUs are convenient, until they become your largest monthly expense. Our workstations and servers often pay for themselves in 4–8 weeks, giving you predictable, fixed-cost compute with no surprise billing and no resource throttling.