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    ABS AI Workstation - 96GB VRAM (NVIDIA RTX PRO 6000 Blackwell 600W GPU), AMD EPYC 4565P, 128GB ECC DDR5 UDIMM, 2x 2TB NVMe M.2, Ubuntu (Zaurion ZRE4565P-RP6000)

    • RTX Pro 4500 Blackwell 32GB - AMD EPYC 4565P
    • RTX Pro 5000 Blackwell 48GB - AMD EPYC 4565P
    • RTX Pro 6000 Blackwell 96GB - AMD EPYC 4565P
    • RTX Pro 6000 MaxQ Blackwell 96GB - AMD EPYC 4565P
    • RTX Pro 6000 MaxQ Blackwell 96GB - AMD Ryzen 9950X3D
    • RTX Pro 6000 Blackwell 96GB - AMD Ryzen 9950X3D
    • RTX Pro 5000 Blackwell 48GB - AMD Ryzen 9950X3D
    • RTX Pro 4500 Blackwell 32GB - AMD Ryzen 9950X3D
    • Compliance Documents Required for Purchase
    • Positioning: Extreme AI Compute Workstation
    • AI researchers needing maximum GPU performance
    • High-throughput inference or advanced AI experimentation
    • Operating System: Ubuntu (Request a Quote for Windows)
    • CPU: AMD EPYC 4565P 16 Core, Liquid cooling
    • GPU: RTX Pro 6000 Blackwell 600W (96 GB GDDR7)
    • Motherboard: ASUS Pro WS B850M-ACE SE AMD Micro-ATX
    • Memory: 128GB DDR5 Server RAM - ECC, Unbuffered
    • SSD: 2 x 2TB M.2 NVMe
    • LAN: 1 x 10GB/s LAN, 1 x 2.5GB/s LAN, 1 x 10/100/1000 Mbps Management LAN
    • PSU: Single 1300W 80 PLUS Platinum power supply
    • Optional: Pre-engineered AI environment with LLM, RAG, automation, submit a quote for pricing
    • AI Agent Ready: Pre-installed OpenClaw (enterprise AI agent framework)
    • Assembled in USA
    • TAA Compliant
    This item is covered under the Manufacturer Only Return Policy.
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    Overview
    Specs
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    Any questions? Our AI mode will help you find out quickly.

    Zaurion Ruby · The Flagship
    96 GB.

    One Card. No Compromises.

    ABS Zaurion Ruby Mid-Tower · ZRE4565P-RP6000

    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 ships pre-installed on Ubuntu.

    Largest Single-GPU Tier Full 600 W GPU OpenClaw Inside
    Illustrative scene — an enormous model fully loaded, shown in a high-contrast studio
    4000 TOPS
    AI Performance (FP4)1
    380 TFLOPS
    RT Core Performance1
    125 TFLOPS
    Single-Precision1
    600 W GPU
    Full Power Budget · No Cap

    AI Silicon Spotlight

    What This Silicon Does for AI

    GPU · RTX PRO 6000 Blackwell · 600 W

    96 GB Makes Model Size Someone Else's Problem

    • 96 GB of GDDR7 on one card loads the largest open-weight models this family can run — with context to spare — and skips multi-GPU sharding entirely.
    • ECC video memory guards weights on services that run for weeks; a stray bit-flip gets corrected, not served.
    • The full 600 W GPU budget (a power-tuned MaxQ sibling exists on this listing) buys sustained tokens-per-second, not just peak numbers.
    • Universal MIG partitions the flagship into isolated instances — one card, several researchers or services, safely.
    • Blackwell 5th-gen Tensor Cores with FP4 run modern low-precision inference at architecture-native speed.
    CPU · AMD EPYC 4565P · Liquid-Cooled

    The Quiet Coworker That Keeps a 600 W Card Fed

    • 16 server-class cores run tokenization, dataloaders, and OpenClaw agent orchestration so the GPU never idles waiting on prep work.
    • Up to 5.7 GHz max turbo keeps single-thread latency low — agent decisions and eval scripts stay snappy.
    • 64 MB of L3 holds hot token pipelines close to the cores.
    • EPYC ECC platform + liquid cooling: 24/7 duty cycle, clocks that hold, office-quiet acoustics under a full-power flagship.

    What It Unlocks

    Three Doors Only 96 GB Opens

    01 / FRONTIER-LOCAL

    The Biggest Models, Kept In-House

    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.

    Largest single-GPU open-weight models · long context
    Illustrative scene — engineer working with a large local language model and a nearly full GPU memory readout
    Illustrative scene — ML team viewing a GPU partition dashboard with four isolated instances
    02 / ONE CARD, MANY USERS

    MIG Turns the Flagship Into a Fleet

    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.

    Isolated partitions · multi-user serving · 1× 10 Gb/s + 2.5 Gb/s
    03 / PRODUCTION DUTY

    Sustained Throughput You Can Sell

    Full 600 W GPU power, ECC end to end, a 1300 W 80 PLUS Platinum supply, and OpenClaw agents pre-installed for the operational glue — production inference on hardware you own.

    tokens/sec that hold · ECC integrity · agents included
    Illustrative scene — engineer reviewing a production AI service dashboard with uptime and latency charts

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


    Full Config

    The Supporting Cast

    ZRE4565P-RP6000 · As Configured
    GPUNVIDIA RTX PRO 6000 Blackwell — 600 W GPU power budget, 96 GB GDDR7 with ECC
    CPUAMD EPYC 4565P — 16-core, liquid-cooled, 4.3 GHz base / 5.7 GHz max turbo, 64 MB L3, Socket AM5
    Memory128 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
    Power1300 W 80 PLUS Platinum
    OSUbuntu pre-installed, OpenClaw included (Windows available by quote)

    Know Your Rung

    Top of the Ladder

    Entry
    32 GB

    RTX PRO 4500 tier — LLM apps, RAG, and agents.

    Middle
    48 GB

    RTX PRO 5000 tier — mid-size model serving.

    This Config
    Flagship
    96 GB

    RTX PRO 6000 Blackwell at full 600 W GPU power — MaxQ variant and an AMD Ryzen 9950X3D CPU alternative also on this listing.


    FAQ

    Quick Answers Before You Buy

    What does 96 GB on a single card change?

    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.

    This vs. the MaxQ variant?

    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.

    Can several people share it?

    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.

    What does "OpenClaw pre-installed" mean?

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

    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
    1. NVIDIA-published figures for the RTX PRO 6000 Blackwell: AI TOPS at FP4 with sparsity; peak rates based on GPU Boost Clock. ABS Zaurion Ruby ZRE4565P-RP6000 · ASUS Pro WS B850M-ACE SE platform · Positioning and specifications per the Newegg listing. Optional components and software are configured at time of purchase; the pre-engineered AI environment (LLM, RAG, automation) is quoted separately.

    Warranty & Returns

    Warranty, Returns, And Additional Information

    Warranty

    • Limited Warranty period (parts): 1 year
    • Limited Warranty period (labor): 1 year
    • Read full details

    Return Policies

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