GamerTech
Custom | AMD Threadripper Pro 9995WX | 3× NVIDIA RTX Pro 6000 Max-Q | Workstation
GamerTech
Custom | AMD Threadripper Pro 9995WX | 3× NVIDIA RTX Pro 6000 Max-Q | Workstation
Custom | AMD Threadripper Pro 9995WX | 3× NVIDIA RTX Pro 6000 Max-Q | Workstation
GamerTech Head Office
470 North Rivermede Road
Vaughan ON L4K 3R8
Canada
Best for: Serious AI/ML training labs, multi-model inference deployments, research institutions, and any environment that needs 288GB of total GPU VRAM in a single workstation — a configuration almost no Canadian builder offers.
Three RTX Pro 6000 Blackwell Max-Q GPUs. 288GB of total GDDR7 VRAM. 96 Threadripper Pro cores. 512GB of ECC system RAM. This is the most powerful single-system workstation we build, and one of the very few triple Pro 6000 configurations available from any Canadian builder. The Max-Q variant runs at 300W per GPU (vs 600W for the full-size cards), enabling all three to fit physically and run within a 1650W Titanium PSU envelope. For AI labs needing to train large models locally, run multi-model inference pipelines, or experiment without cloud rental costs, this is the workstation that replaces a server rack.
What's Inside
| Component | Specification |
|---|---|
| CPU | AMD Ryzen Threadripper Pro 9995WX — 96 Cores / 192 Threads, Zen 5 Architecture |
| GPU | 3× PNY NVIDIA RTX Pro 6000 Blackwell Max-Q — 288GB Total GDDR7 |
| CPU Cooler | be quiet! Silent Loop 3 420mm AIO Liquid Cooler |
| RAM | 512GB (4×128GB) DDR5-5600 ECC Registered |
| Storage | 2× 4TB Gen5 M.2 NVMe SSD (8TB total) |
| Motherboard | ASUS Pro WS WRX90E-SAGE SE — Pro Platform, 8 DIMM, PCIe 5.0 |
| PSU | 1650W 80+ Titanium Fully Modular |
| OS | Configurable — Windows 11 Pro for Workstations, Windows Server, or Linux |
| Warranty | 1 Year Parts + Labour (GamerTech) |
| Shipping | White-glove delivery included. Free Canada-wide |
Why 288GB Total VRAM Matters
288GB of GPU VRAM enables workloads that no single-GPU or even dual-GPU system can handle. Train 70B+ parameter models with full precision and reasonable batch sizes. Run multiple production-grade LLMs in parallel for RAG, agent, and reasoning pipelines. Serve a research lab's entire experimentation queue from a single workstation. Run VFX rendering pipelines where three artists share one render box. Process scientific simulations that span the full 288GB working memory. The Max-Q variant of the Pro 6000 delivers the same 96GB VRAM and same compute architecture as the full 600W version — just at a thermal envelope that allows three cards to coexist in a single chassis. This is the workstation that replaces $50,000+ of cloud GPU rental over a project lifetime.
Who Buys This
This workstation is for: AI research labs and university computing facilities running multi-model experiments. AI startups serving production inference internally. VFX studios running multi-seat render boxes. Pharmaceutical and biotech labs running molecular dynamics or genomics at scale. Engineering firms running massive multi-GPU simulations. Any organization that has been renting cloud GPUs and is looking to bring compute in-house.
Not the right fit if: Smaller workloads that don't fully utilize three GPUs — those users are better served by our single or dual GPU builds. For workloads that need higher per-GPU power (full 600W Pro 6000), we recommend our dual full-size Pro 6000 build at $79,999.
Workload Performance
| Workload | Performance |
|---|---|
| AI Training (large models, full precision) | Industry-leading — 288GB enables huge batches |
| Multi-Model Production Serving | Excellent — run 3+ separate models per GPU |
| LLM Fine-Tuning (70B+ models) | Excellent — VRAM headroom for full training |
| Multi-Seat GPU Rendering Farm | Excellent — 3 simultaneous render jobs |
| Massive Scientific Simulations | Excellent — distributed CUDA across 3 GPUs |
| Research / Experimentation Pipelines | Excellent — parallel job execution |
| Multi-Stream 8K Production | Excellent — three independent pipelines |
| Distributed Training Experiments | Excellent — local multi-GPU dev environment |
Buying Guides & Resources
Every Build. Every Time.
Frequently Asked Questions
Can this workstation be customized?
Yes. We can configure with full-size Pro 6000 instead of Max-Q (requires different chassis and cooling), scale RAM to 2TB, add enterprise NVMe RAID, or integrate with cluster networking. Call (905) 247-7085 — for halo configurations like this, every detail is configurable.
Why Max-Q variants instead of full 600W cards?
Three full-size Pro 6000 cards (each 600W) would draw 1800W just on the GPUs — exceeding the 1650W PSU limit and creating extreme thermal challenges. The Max-Q variants run at 300W per card with the same 96GB VRAM and same compute architecture, enabling all three to fit and run sustained without throttling. For most workloads, three Max-Q cards outperform two full cards.
How does this compare to renting cloud GPUs?
Three Pro 6000s on AWS or Lambda Cloud cost roughly $20–$30/hour combined. At sustained 50% utilization, this workstation pays for itself within 8–12 months versus cloud — and you own the hardware afterwards. For researchers and labs running heavy GPU workloads, the math heavily favours owned hardware.
What about cooling and noise?
Three 300W GPUs generate significant heat. We engineer the build with a high-airflow chassis, the BeQuiet 420mm AIO for the CPU, and Pro 6000 Max-Q's blower-style fans designed for sustained workstation use. Sound levels are appropriate for a dedicated workstation environment but louder than a standard office PC. Contact us if noise is a critical concern — we can discuss alternative cooling configurations.
How long does delivery take?
Estimated 4–6 weeks from order, sometimes longer for triple Pro 6000 sourcing. White-glove delivery is included due to system value and complexity. Contact us at (905) 247-7085 for current allocations and to discuss enterprise procurement.