Threadripper PRO 7985WX Triple Radeon PRO W7900 ROCm LLM Workstation
144GB of GPU memory tuned for local large language model development on ROCm.
We help you choose, configure, and deliver the right system — no obligation.
Configuration at a Glance
Tailored per engagement. Full technical overview below.
Configuration Options
Core specifications for this system. Every component is configurable to your workload — request a quote for a tailored build.
3× AMD Radeon PRO W7900 — 144GB GDDR6 total
AMD Ryzen Threadripper PRO 7985WX (64C / 128T)
384GB DDR5-5600 ECC RDIMM (8-channel)
4TB PCIe Gen5 NVMe + 16TB NVMe for model weights
Overview
This workstation is configured for hands-on large language model work, combining the 64-core AMD Ryzen Threadripper PRO 7985WX with three AMD Radeon PRO W7900 GPUs for 144GB of aggregate professional memory. Nexus Compute pre-configures the ROCm inference and fine-tuning stack, validates tensor-parallel performance across all three GPUs, and delivers the system warranty-backed through authorized channels.
Who This Solution Is For
Business Benefits
144GB pooled VRAM
Three W7900s shard large language models across 144GB so sizeable open-weight models run in-house without cloud GPUs.
ROCm-ready on arrival
We pre-install and validate vLLM, PyTorch, and the Hugging Face stack on ROCm so the system is productive day one.
Private model development
Proprietary prompts, fine-tuning data, and weights never leave your environment.
Typical Business Use Cases
Tensor-parallel LLM inference and serving on ROCm
LoRA / QLoRA fine-tuning of open-weight models
RAG pipeline and vector-database development
Long-context agentic system prototyping
Industry Applications
Technical Overview
Built on the AMD WRX90 platform with the sTR5 Threadripper PRO 7985WX (64 cores / 128 threads) and eight-channel DDR5 ECC for fast model loading. Three RDNA 3 Radeon PRO W7900 GPUs each deliver 48GB GDDR6 at 864GB/s over PCIe Gen5, with a ROCm-validated Ubuntu LTS stack pre-configured for tensor-parallel workloads.
| GPU / Accelerator | 3× AMD Radeon PRO W7900 — 144GB GDDR6 total |
| CPU | AMD Ryzen Threadripper PRO 7985WX (64C / 128T) |
| Memory | 384GB DDR5-5600 ECC RDIMM (8-channel) |
| Storage | 4TB PCIe Gen5 NVMe + 16TB NVMe for model weights |
| GPU Interconnect | PCIe Gen5 x16 per GPU (WRX90) |
| Software | ROCm, vLLM, PyTorch, Hugging Face pre-configured |
| Form Factor | Full-tower workstation |
| Power | 1600W 80+ Titanium |
| Warranty | 3-year on-site, next-business-day |
Specifications are indicative and configured to each engagement. Request a quote for a configuration tailored to your requirements.
Warranty, Support & Fulfillment
Every system ships from an authorized channel, configured and tested, with the documentation enterprise buyers need — backed by warranty and a dedicated account team.
Enterprise Warranty
Full manufacturer warranty with optional on-site, next-business-day support and extended coverage.
Authorized Channel
Sourced through Tier-1 distribution and OEM partners — never grey market. Asset & warranty records included.
Lead Time & Deployment
48-hour quotes, then configured, burn-in tested, and delivered on a committed schedule.
Nationwide Fulfillment
Coordinated logistics, rack-and-stack, and delivery wherever your infrastructure lives.
Frequently Asked Questions
How large a model fits across three W7900s?
144GB of pooled VRAM serves quantized models well beyond 100B parameters and runs many popular open-weight models at full precision; we size quantization and tensor-parallel settings to your target models.
Is the AMD ROCm path viable versus CUDA for LLMs?
Yes — vLLM, PyTorch, and the Hugging Face ecosystem run on ROCm with RDNA 3 Radeon PRO GPUs, and we validate your specific model and framework versions before shipment.
Why three GPUs instead of two or four?
Three W7900s hit a practical balance of VRAM, power, and tower thermals for LLM development; we offer dual and quad W7900 builds when you need less or more capacity.
Hardware Assistance
Configure the Threadripper PRO 7985WX Triple Radeon PRO W7900 ROCm LLM Workstation with Nexus Compute
Tell us your requirements and a hardware specialist will help you specify, configure, and quote the right system — typically within two business days. No obligation.