Dual R9700 — 64 GB VRAM AI Workstation
Run 64B+ parameter models like DeepSeek R1 and Llama 3 entirely on your desktop. Dual AMD Radeon AI PRO R9700 GPUs deliver 64 GB of pooled VRAM via ROCm at a fraction of enterprise GPU pricing.
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Purpose-built desktops for AI development, 3D rendering, engineering simulation, and creative production. Multi-GPU configurations with up to 384GB of VRAM.
Our most popular multi-GPU workstations, assembled, tested, and shipped from our production floor. Massive VRAM pools at a fraction of enterprise pricing.
Run 64B+ parameter models like DeepSeek R1 and Llama 3 entirely on your desktop. Dual AMD Radeon AI PRO R9700 GPUs deliver 64 GB of pooled VRAM via ROCm at a fraction of enterprise GPU pricing.
Intel's most cost-effective path to massive VRAM. Dual Arc Pro B60 GPUs deliver 48 GB of combined memory — ideal for local LLM inference and AI development at an incredible price point.
The ultimate single-GPU professional workstation. 96 GB of GDDR7 VRAM on one NVIDIA RTX Pro 6000 Blackwell card — no multi-GPU complexity, just raw power for the largest AI models and enterprise rendering workloads.
Run larger AI models locally — no cloud costs, no data privacy concerns. Our multi-GPU workstations pool VRAM across cards so you can load models that single-GPU systems simply can't handle.
64 GB of pooled VRAM lets you load 70B+ parameter models like DeepSeek R1, Llama 3, and Mistral Large entirely on your desktop with no cloud costs.
No API calls, no third-party servers. Your proprietary datasets, fine-tuned models, and sensitive workloads stay on hardware you physically control.
Get 48–64 GB of VRAM starting under $4,000. Pay once, use forever.
Add more GPUs as your models grow. Pick a chassis that supports expansion up to (4) dual-slot cards for 384+ GB of total VRAM in a single workstation.
Every workflow has different demands. Choose the GPU platform that aligns with your software, compute needs, and budget — then customize everything else.
The industry standard for CUDA-accelerated AI, deep learning, and cinematic rendering. Broadest software compatibility across all major frameworks.
Unmatched VRAM-per-dollar with 32 GB per GPU via RDNA 4. The top choice for local AI inference, LLM deployment, and memory-intensive professional workflows.
The most affordable path to 48+ GB of VRAM. Dual-GPU cards on a single PCB deliver massive memory pools for AI inference at an unbeatable price-to-VRAM ratio.
Train, fine-tune, and run inference on large language models locally. Skip cloud API costs and keep your data private with workstations built for AI-first workflows.
Examples: TensorFlow · PyTorch · CUDA · ROCm · vLLM · Ollama · LM Studio
Manipulate complex assemblies, run FEA simulations, and render photorealistic models in real-time. Built for the most demanding CAD applications.
Examples: SolidWorks · AutoCAD · CATIA · Revit · Fusion 360
From GPU-accelerated rendering to seamless 8K video editing, these machines are built to keep up with your creative pipeline without bottlenecks.
Examples: Adobe Creative Suite · DaVinci Resolve · Octane · Redshift · Blender
Every cable is precisely managed, every component strategically placed for optimal airflow and serviceability.
Every system undergoes extended stress testing before it ships. We catch problems so you never have to.
Tuned for marathon renders and days-long training runs, not short sprints. Enhanced cooling keeps everything at 100%.
If your system doesn't perform as specified for your AI workflow within 30 days, we'll make it right. No hassle, no runaround.
Access massive datasets instantly. Latest-gen NVMe drives cut load times and keep your workflow responsive.
Our team understands your workflow. Direct access to the engineers who built your system — no ticket queues.
Every AI workstation we ship is verified to run the models you need — out of the box. If your system doesn't perform as specified for your AI workflow within 30 days, we'll make it right. No hassle, no runaround.
Tell us about your workflow and we'll recommend the right hardware. Our team configures, assembles, stress-tests, and ships — you just plug in and go.