Built for How Business Buys.
Built for How Business Buys.
The top of the family: an NVIDIA RTX PRO 6000 Blackwell carrying 96 GB of ECC GDDR7 at its full 600 W GPU power budget, fed by a 1300 W 80 PLUS Platinum supply and a liquid-cooled 16-core EPYC — in a mid-tower that still fits under a desk. OpenClaw is available as an optional add-on on Ubuntu.
Models that need serious VRAM run on one card with long context — private, fixed-cost, behind your firewall. The optional pre-engineered LLM/RAG/automation environment (by quote) makes it turnkey.
Universal MIG splits the GPU into isolated instances with dedicated resources — researchers, services, and experiments share one card without stepping on each other, served over 10 Gb/s LAN.
Full 600 W GPU power, ECC end to end, a 1300 W 80 PLUS Platinum supply, and OpenClaw available as an optional add-on for the operational glue — production inference on hardware you own.
Scene photos are AI-generated illustrations of typical deployments, not photographs of this exact product.
| ZRE4545P-RP6000 · As Configured | |
|---|---|
| GPU | NVIDIA RTX PRO 6000 Blackwell — 600 W GPU power budget, 96 GB GDDR7 with ECC |
| CPU | AMD EPYC — 16-core, liquid-cooled, 3.0 GHz base / 5.4 GHz max turbo, 64 MB L3, Socket AM5 |
| Memory | 128 GB DDR5 ECC UDIMM — expandable to 192 GB across 4 DIMM slots |
| Storage | 2× 2 TB M.2 NVMe (4 TB total) |
| Network | 1× 10 Gb/s + 2.5 Gb/s LAN + dedicated management port |
| Expansion | PCIe 5.0 x16 + PCIe 4.0 x16 · ASUS Pro WS B850M-ACE SE |
| Power | 1300 W 80 PLUS Platinum |
| OS | Ubuntu pre-installed (Windows available by quote) |
| Optional | OpenClaw enterprise AI agent framework (configured at order time) |
RTX PRO 4500 tier — LLM apps, RAG, and agents.
RTX PRO 5000 tier — mid-size model serving.
RTX PRO 6000 Blackwell at full 600 W GPU power — MaxQ variant and an AMD Ryzen 9950X3D CPU alternative also on this listing.
Model size stops being the first constraint: the largest open-weight models this family can run fit on one card with room for context — no multi-GPU sharding, no cross-card complexity.
Both carry 96 GB. This one runs the full 600 W GPU power budget for maximum sustained throughput; the MaxQ sibling on the same listing is power-tuned. Pick this when tokens-per-second is the metric.
Yes — Universal MIG partitions the GPU into isolated instances with dedicated resources, served to the team over 1× 10 Gb/s + 2.5 Gb/s LAN.
Not by default. The OpenClaw enterprise AI agent framework is available as an optional add-on, configured at order time — once added, agentic workflows on day one, no setup. Windows is available by quote.
TAA compliant and assembled in the USA, with compliance documents available for purchase review.
1-year parts and labor limited warranty backed by ABS manufacturer support. Build to Order — custom built and stress-tested after purchase.