AI Workstation · Hardware First

The Spec Sheet Is the Sales Pitch

ABS Zaurion Ruby Mid-Tower · ZRR9950X3D-RP4500

No warm-up story — the two processors below are why this box exists. Everything else (Ubuntu with OpenClaw pre-installed, ECC end to end, a quiet liquid loop) is in service of them.

Illustrative scene — a hardware telemetry panel beside a running inference service
AI Silicon Spotlight · Read This First

Two Processors, Chosen for AI Duty

GPU · Datasheet

NVIDIA RTX PRO 4500 Blackwell · 200 W GPU

VRAM
32 GB GDDR7 with ECC — serves smaller open-weight models and embedding stacks; ECC means a stray bit-flip can't silently corrupt weights on an always-on service. Consumer cards skip this.
Tensor
Blackwell 5th-gen Tensor Cores with FP4 — the low-precision math modern generative inference actually runs on, at architecture-native speed.
Power
200 W GPU budget — cool, quiet, and efficient; the 1000 W 80 PLUS Platinum supply barely notices it, and neither will the office.
Drivers
RTX PRO workstation line — validated, long-lifecycle drivers for production endpoints, not game-day patches.
CPU · Datasheet

AMD Ryzen 9950X3D · Liquid-Cooled

Cache
128 MB L3 with 3D V-Cache — tokenizers, dataloaders, and hot working sets stay on-die instead of waiting on RAM; iteration loops feel it immediately.
Clocks
4.3 GHz base / 5.7 GHz max turbo — single-thread latency is where agent decisions, eval scripts, and notebook cells live.
Cores
16-core — preprocessing, indexing, and OpenClaw agent orchestration run beside the GPU workload without queueing.
Platform
ECC UDIMM support + liquid cooling — server-grade data integrity and clocks that hold through overnight runs, quietly.
Memory
64 GB DDR5 ECC
to 256 GB · 4 DIMM slots
Storage
2× 2 TB NVMe
OS / data split · 4 TB
Network
1× 10 Gb/s + 2.5 Gb/s
+ management LAN
Expansion
PCIe 5.0 x16
+ PCIe 4.0 x16
Power
1000 W 80 PLUS Platinum
headroom to spare
In Service

What That Silicon Does All Day

Illustrative scene — quiet office corner with a steady AI inference service panel

Private Inference, Quietly

Smaller open-weight models and embedding stacks served all day on ECC-protected VRAM — at a 200 W GPU budget the office never hears.

Always-on endpoint · ECC integrity · low noise
Illustrative scene — developer mid-flow with tests finishing green

Iteration at V-Cache Speed

Code, run, inspect — the 3D V-Cache and 5.7 GHz max turbo shave the seconds that compound into hours across a development week.

Fast loops · snappy notebooks · 16-core builds
Illustrative scene — two colleagues reviewing a private AI endpoint

Agents & Team Endpoints

OpenClaw ships pre-installed for day-one automations, and 1× 10 Gb/s + 2.5 Gb/s LAN serves the team — with a management port so IT stays in control.

OpenClaw included · team serving · out-of-band mgmt

Scene photos are AI-generated illustrations of typical deployments, not photographs of this exact product.

Full Datasheet

As Configured

ZRR9950X3D-RP4500
GPUNVIDIA RTX PRO 4500 Blackwell — 200 W GPU power budget, 32 GB GDDR7 with ECC
CPUAMD Ryzen 9950X3D — 16-core, liquid-cooled, 4.3 GHz base / 5.7 GHz max turbo, 128 MB L3 (3D V-Cache), Socket AM5
Memory64 GB DDR5 ECC UDIMM — expandable to 256 GB across 4 DIMM slots
Storage2× 2 TB M.2 NVMe (4 TB total)
Network1× 10 Gb/s + 2.5 Gb/s LAN + dedicated management port
ExpansionPCIe 5.0 x16 + PCIe 4.0 x16 · ASUS Pro WS B850M-ACE SE
Power1000 W 80 PLUS Platinum
OSUbuntu pre-installed, OpenClaw included (Windows available by quote)
Where It Sits

The X3D Door Into the Family

Same agent-ready Ubuntu setup on every rung of this listing (EPYC 4565P CPU variants are offered too):

This Config
32 GB

RTX PRO 4500 tier with the 9950X3D — the family's most accessible X3D + RTX PRO pairing.

Step Up
48 GB

RTX PRO 5000 tier — mid-size model serving with more context headroom.

Max Out
96 GB

RTX PRO 6000 tier, standard or MaxQ — the family's largest single-GPU class.

FAQ

Quick Answers Before You Buy

Why does the hardware matter more than the spec sheet suggests?

Three choices define this box for AI: ECC on the GPU memory (weights can't silently corrupt), 128 MB of 3D V-Cache (hot data stays on-die), and a 200 W GPU budget that runs cool and quiet all day.

Is 32 GB of GPU memory enough?

For smaller open-weight models, embeddings, RAG, and agents — comfortably. For bigger models, the 48 GB and 96 GB rungs are on this same listing.

What does "OpenClaw pre-installed" actually mean?

The OpenClaw enterprise AI agent framework comes installed and ready on Ubuntu — agentic workflows on day one, no framework setup.

Can I get it with Windows?

It ships with Ubuntu pre-installed; Windows is available — request a quote from the listing.

Government / public-sector eligible?

TAA compliant and assembled in the USA, with compliance documents available for purchase review.

How is it supported?

1-year parts and labor limited warranty backed by ABS manufacturer support. Build to Order — custom built and stress-tested after purchase.

OpenClaw pre-installed
Assembled in USA
TAA Compliant
Liquid-cooled · ECC end to end
ABS Zaurion Ruby ZRR9950X3D-RP4500 · ASUS Pro WS B850M-ACE SE platform · Positioning and specifications per the Newegg listing; 3D V-Cache is an AMD-published feature of the Ryzen 9950X3D. Optional components and software are configured at time of purchase.