AI & Render Workstations
AI & Render Workstations
Multi-GPU workstations for large language model training, multi-GPU rendering, scientific compute, and the most demanding AI workflows. Dual and triple RTX PRO 6000 configurations.
Built For
Who this tier is designed for — see if your workflow matches before you dig into specs.
AI / ML Research Labs
70B+ parameter LLM training and fine-tuning, multi-GPU PyTorch / DeepSpeed pipelines, RAG over million-document corpora. 192–288 GB of unified GPU memory.
VFX & Render Studios
Multi-GPU Octane, Redshift, V-Ray RT, Unreal Engine 5, Houdini. Render farms reduced from rack to single chassis for studios moving in-house.
Universities & Public Sector
Multi-user shared compute via virtualization or GPU passthrough. Scientific simulation, molecular dynamics, computational chemistry, genomics at lab scale.
AI & Render Workstations — Available Builds
4 hand-built workstations in this category. Click any build for full specs.
AMD Threadripper Pro 9965WX | 2× RTX Pro 6000
AMD Threadripper Pro 9975WX | 2× RTX Pro 6000 96GB
AMD Threadripper Pro 9995WX | 2× RTX Pro 6000
AMD Threadripper Pro 9995WX | 3× RTX Pro 6000 Max-Q
How to Choose Your Build
If you can describe what you need, we can point you to the right build. Each row maps a common requirement to a specific configuration above.
| If you want… | Pick this build | Why |
|---|---|---|
| Entry dual-GPU AI / VFX | Threadripper PRO 9965WX | Dual RTX PRO 6000 → | 24 cores + 192 GB total GPU VRAM at $74,999. Entry into multi-GPU. |
| Pro dual-GPU workstation | Threadripper PRO 9975WX | Dual RTX PRO 6000 → | 32 cores + 512 GB ECC. The balanced Pro dual-GPU configuration. |
| Maximum dual-GPU compute | Threadripper PRO 9995WX | Dual RTX PRO 6000 → | 96 Pro cores + 192 GB GPU VRAM for sustained CPU + dual-GPU pipelines. |
| Triple-GPU AI flagship | Threadripper PRO 9995WX | 3× RTX PRO 6000 Max-Q → | 96 cores + 288 GB total GPU VRAM. Built for serious LLM training. |
See the AI & Render Builds
Multi-GPU workstations from our shop — assembly, validation, and shop floor footage.
Every Build. Every Time.
GamerTech guarantees on every workstation we ship.
Frequently Asked Questions
When do I actually need multi-GPU?
Multi-GPU helps when your workload can parallelize across GPUs. For LLM training and fine-tuning of 70B+ parameter models, multi-GPU is essential. For multi-GPU rendering (Octane, Redshift, V-Ray RT, Houdini Karma), each additional GPU adds near-linear render speed.
What's the lead time for multi-GPU builds?
2 weeks or less from order confirmation. These are custom built to spec — we source, assemble, validate under sustained dual or triple GPU load (24+ hours of stress testing), then ship or pickup.
How does multi-GPU scaling work in practice?
For training: PyTorch DDP, DeepSpeed, FSDP, Hugging Face Accelerate handle GPU communication via NVLink or PCIe. Near-linear scaling on dual-GPU for most LLM training. For rendering: Octane, Redshift, V-Ray RT split frames or tiles across GPUs with near-linear scaling.
Power and cooling requirements?
All multi-GPU builds ship with appropriately-sized PSUs (1600 W to 3000 W Platinum, ATX 3.1) and high-static-pressure cooling. Dual-GPU draws ~700–800 W under sustained load; triple-GPU Max-Q draws ~900–1000 W. Standard 15 A 120 V Canadian wall circuits sufficient.
Enterprise or volume pricing?
Yes. We support university procurement, government, research labs, and enterprise IT with multi-system pricing, PO acceptance, and procurement-format quoting.
Not sure which build is right for you?
Tell us your daily app stack, expected workloads, and budget — we'll match you to the right configuration in 5 minutes and quote any custom changes you need.
