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WD_BLACK 4TB SN850X NVMe Internal Gaming SSD Solid State Drive - Gen4 PCIe, M.2 2280, Up to 7,300 MB/s - WDS400T2X0E
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    ABS AI Workstation - 192GB Aggregate VRAM (2x 96GB RTX PRO 6000 Blackwell Max-Q), AMD Ryzen Threadripper PRO 7975WX, 128GB ECC DDR5, 2TB M.2 + 3.84TB SATA SSD, Ubuntu (Zaurion ZRP7975WX-RP60002M)

    • Threadripper PRO 7975WX/RTX Pro 6000 Blackwell/128GB DDR5/2TB+4TB SSD
    • Threadripper PRO 7975WX/RTX Pro 6000 Blackwell/64GB DDR5/1TB+2TB SSD
    • Threadripper PRO 7975WX/ 2x RTX Pro 6000 Blackwell MaxQ/ 128GB DDR5/ 2TB+4TB SSD
    • Xeon W5-2455X/RTX Pro 6000 Blackwell/64GB DDR5/1TB+2TB SSD
    • Xeon W9-3575X/ 2x RTX Pro 6000 Blackwell MaxQ/ 128GB DDR5/ 2TB+4TB SSD
    • Xeon W9-3575X/RTX Pro 6000 Blackwell/128GB DDR5/2TB+4TB SSD
    • Threadripper 9965WX/ 3x Radeon AI Pro R9700 / 128GB DDR5/ 2x 2TB M.2
    • Threadripper 9965WX/ 3x Arc Pro B70/ 128GB DDR5/ 2x 2TB M.2
    • Compliance Documents Required for Purchase
    • Assembled in USA
    • TAA Compliant
    • Operating System: Ubuntu
    • CPU: AMD Ryzen Threadripper PRO 7975WX
    • GPU: 2x RTX Pro 6000 Blackwell MaxQ (96 GB GDDR7)
    • Motherboard: Gigabyte MH53-G40
    • Memory: 128GB DDR5 Server RAM - ECC, Registered
    • OS SSD: 2TB M.2 NVMe (Installed)
    • Data SSD: 3.84TB SSD (Installed)
    • LAN: 2 x 10GB/s LAN, 1 x 10/100/1000 Mbps Management LAN
    • PSU: Single 2000W ATX 80 PLUS Gold power supply
    • Barebone: Gigabyte W773-H5D-AA01
    • AI Agent Ready: Optional pre-installed OpenClaw (enterprise AI agent framework)
    • Local LLM Support: Optional Qwen 3.5 27B or higher models for on-prem AI inference
    This item is covered under the Manufacturer Only Return Policy.
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    ABS Zaurion Duo Ruby Tower · Dual-GPU Platform

    Built for Two.

    AMD Ryzen Threadripper PRO 7975WX  +  2x NVIDIA RTX PRO 6000 Blackwell Max-Q

    Same server-pedigree sTR5/WRX90 CPU platform, same 128 GB of DDR5 and 5.84 TB of installed SSD storage as this chassis lineup's single-GPU configuration — but with a second GPU. Two independent NVIDIA RTX PRO 6000 Blackwell Max-Q cards give you 192 GB of aggregate VRAM for multi-GPU training, distributed rendering, and large-scale data modeling.

    192 GB Aggregate VRAM 2x Max-Q GPUs Ubuntu Ready Assembled in USA · TAA
    Graphite and violet-lit workstation tower with a diamond-mesh front panel, standing beside a desk with dual monitors and symmetric twin light fixtures
    2x 96 GB
    GDDR7 GPUs, 192 GB aggregate
    128 GB
    DDR5, ECC Registered
    5.84 TB
    SSD storage installed
    2×10 GbE
    + MLAN management
    2000 W
    80 PLUS Gold PSU
    AI Silicon Spotlight · Hardware First

    What This Pairing Actually Buys You

    A server-pedigree CPU platform feeding two independent GPUs, built for workloads that need more than one card:

    GPU · 2x NVIDIA RTX PRO 6000 Blackwell Max-Q

    192 GB Aggregate VRAM, Two Ways to Use It

    • Two independent 96 GB GPUs — 192 GB aggregate, not a single unified pool. Split a model across both, or run each independently.
    • Max-Q's 300W-per-card design1 trades peak single-GPU performance for the efficiency and density that make a two-GPU tower possible on one 2000 W supply.
    • Up to four isolated MIG instances per GPU1 — concurrent workloads or users, each with dedicated resources and guaranteed quality of service.
    • Blackwell 5th-gen Tensor Cores with FP4 accelerate agentic and generative AI on each card at architecture-native speed.
    CPU · AMD Ryzen Threadripper PRO 7975WX

    One Socket, Two GPUs Fed

    • sTR5 socket on the WRX90 chipset2 — a server-derived workstation platform with the PCIe lanes to run two dual-slot GPUs at full bandwidth.
    • 6x PCIe 5.0 x16 slots mean both GPUs run at full Gen5 bandwidth, with lanes to spare for future expansion.
    • 8-channel DDR5 memory keeps both GPUs supplied with data without the CPU becoming the bottleneck.
    • ECC memory support and workstation-grade reliability bring server-class RAS features to long, multi-GPU training runs.
    Two GPUs, Two Strategies

    Two Ways to Scale

    The listing's own use cases point to two different ways to put a second GPU to work:

    1

    Split One GPU, Many Ways (MIG)

    Partition either GPU into up to four fully isolated instances, each with its own memory, cache, and compute — concurrent workloads or users on one card, with guaranteed quality of service.

    2

    Combine Both GPUs, One Big Job

    Split a single large model or dataset across both GPUs for multi-GPU training, multi-instance inference, or distributed rendering — workloads too large for one 96 GB card alone.

    Same Platform, One More GPU

    One GPU or Two?

    This chassis lineup offers the identical CPU, memory, and storage with either one or two GPUs — here's what the second GPU buys:

    This Config
    GPUs2x RTX PRO 6000 Max-Q
    Aggregate VRAM192 GB
    System Memory128 GB DDR5
    Storage2 TB + 3.84 TB
    Single-GPU Tier
    GPUs1x RTX PRO 6000
    Aggregate VRAM96 GB
    System Memory128 GB
    Storage2 TB + 3.84 TB

    Same AMD Ryzen Threadripper PRO 7975WX, same memory, same storage, same Gigabyte MH53-G40 platform — the second GPU is the only variable. Compare options on this listing.

    Room to Scale

    Two Slots Used, Four Available

    This configuration populates 2 of the platform's 6 PCIe 5.0 x16 slots — there's room for more:

    Official ABS diagram — front panel USB-A, USB-C, and hot-swap bays, rear panel dual 10Gb/s LAN, MLAN, USB, audio, and power
    Front & rear I/O — official ABS product diagram for this platform.

    Front: 2× USB 3.2 Gen1 Type-A + 1× USB 3.2 Gen1 Type-C, power button, audio/mic jack, and 4× 3.5″/2.5″ SATA hot-swap bays installed (4 more optional — 8 total possible). Rear: dual 10Gb/s LAN (Broadcom BCM57416) plus a dedicated MLAN management port, USB and audio connectivity, and the 2000 W power inlet.

    Official ABS diagram — interior layout showing sTR5 socket, 8 DIMM slots, 6 PCIe 5.0 x16 slots, 4 M.2 slots, and the 2000W PSU
    Inside the platform — official ABS product diagram for this platform.

    8× DIMM slots on 8-channel DDR5 (2 populated), 6× PCIe 5.0 x16 slots rated for up to 4× dual-slot GPUs (this config populates 2 of them), and 4× M.2 SSD slots with only one populated by the 2 TB OS drive.3 Two GPUs in, two more slots of headroom left.

    Usage Scenarios

    Five Jobs, Two GPUs

    The listing's own AI Features, translated into workloads that lean on multi-GPU scale:

    Developer working at a dual-monitor coding setup with the tower workstation nearby, graphite and violet accent lighting

    AI Development

    Accelerate AI development and inference workloads, and build agentic AI applications.

    Data scientist reviewing large dataset dashboards next to the tower workstation, graphite and violet accent lighting

    Data Science

    Accelerate your data pipelines.

    Designer reviewing a photorealistic architectural render next to the tower workstation, graphite and violet accent lighting

    AI-Driven Rendering & Graphics

    Deliver stunningly realistic designs and simulations with speed and precision.

    Engineer running scientific simulation software beside the tower workstation, graphite and violet accent lighting

    HPC

    Accelerate scientific breakthroughs with enhanced accuracy.

    Video editor working on a media timeline next to the tower workstation, graphite and violet accent lighting

    Video Content & Streaming

    Boost performance for live media and video pipelines.

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

    Optional VRAM Expansion

    Fine-Tune Even Larger Models with Phison aiDAPTIV+

    An optional add-on that offloads GPU memory to flash, reducing the VRAM full fine-tuning actually requires:

    Target Model SizeVRAM Needed (Without aiDAPTIV+)VRAM Needed (With aiDAPTIV+)
    ~13B120–200 GB32 GB
    ~34B250–350 GB96 GB — either of this workstation's GPUs
    ~70B500–700 GB192 GB — this workstation's two GPUs, combined
    Full fine-tuning without a larger multi-GPU server
    Lower hardware cost, simpler deployment
    Faster path to AI adoption

    Phison aiDAPTIV+ SSD is an optional add-on and is not included by default. VRAM figures are vendor-published estimates for full fine-tuning.

    Full Configuration

    As Configured

    ZRP7975WX-RP60002M
    CPUAMD Ryzen Threadripper PRO 7975WX — sTR5 socket, WRX90 chipset2
    GPU2x NVIDIA RTX PRO 6000 Blackwell Max-Q — 96 GB GDDR7 each, 192 GB aggregate1
    Memory128 GB DDR5, ECC Registered, 8-channel
    Storage2 TB M.2 NVMe (OS)  +  3.84 TB SSD (Data)
    Networking2× 10 Gb/s LAN (Broadcom BCM57416) + MLAN management port
    MotherboardGigabyte MH53-G40 (Gigabyte W773-H5D-AA01 barebone)
    PowerSingle 2000 W ATX 80 PLUS Gold
    Expansion8× DIMM (8-channel DDR5), 6× PCIe 5.0 x16 (2 populated), 4× M.2 SSD, 4× hot-swap bays installed
    OSUbuntu
    OptionalPhison aiDAPTIV+ SSD; OpenClaw agent framework; Qwen 3.5 27B+ local LLM package
    FAQ

    Quick Answers Before You Buy

    What's different between the Max-Q GPUs here and the standard RTX PRO 6000 Blackwell on other configs?

    Max-Q is a lower-power, higher-density version of the same GPU family — about 300 W per card. Its own published figures (3511 TOPS AI performance, 333 TFLOPS RT, 110 TFLOPS single-precision) are lower per-GPU than the standard card, but this configuration runs two of them.

    Is the 192 GB of VRAM one big pool or two separate 96 GB GPUs?

    Two independent 96 GB GPUs — 192 GB aggregate, not a single unified pool. Split a model across both, or run each independently, including MIG-partitioning either card.

    What's different between this config and the single-GPU tier?

    The CPU, 128 GB DDR5 memory, and 2 TB+3.84 TB storage are identical to this chassis lineup's single-GPU tier. This configuration adds a second Max-Q GPU for 192 GB aggregate VRAM instead of 96 GB.

    How much room is there to add more GPUs?

    6× PCIe 5.0 x16 slots rated for up to 4× dual-slot GPUs; this configuration populates 2 of them.

    Does it come with an AI agent framework or local LLM pre-installed?

    Not by default. OpenClaw and a Qwen 3.5 27B+ local LLM package are optional add-ons configured at order time.

    Is it eligible for government / public-sector purchasing?

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

    Assembled in USA
    TAA Compliant
    192 GB Aggregate VRAM
    Build to Order flexibility
    1. NVIDIA-published figures for the RTX PRO 6000 Blackwell Max-Q specifically (3511 TOPS FP4 sparsity, 333 TFLOPS RT, 110 TFLOPS single-precision, up to 4 MIG instances per GPU) — these differ from the standard (non-Max-Q) RTX PRO 6000 Blackwell used on other configurations in this lineup. 2. AMD-published architecture features for the Threadripper PRO WX-Series (sTR5 socket, WRX90 chipset). The "up to 96 CPU cores" figure sometimes cited for this CPU family is a lineup-wide ceiling across multiple WX-Series SKUs, not a per-SKU spec for the 7975WX. 3. Slot counts and the 4x dual-slot-GPU rating are the Gigabyte platform's published capability on the sTR5 socket, not a claim beyond this SKU's shipped configuration — this unit ships with two GPUs on a single 2000 W PSU; adding more GPUs would require a PSU upgrade. ABS Zaurion Duo Ruby ZRP7975WX-RP60002M · Gigabyte W773-H5D-AA01 platform (sTR5 socket) · Optional components and software are configured at time of purchase.

    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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