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Zaurion Duo Aqua · Dual-GPU Flagship
×2
Two Flagships, Pooled.
ABS Zaurion Duo Aqua Tower · ZAW9-3575X-RP6000MQ
Two NVIDIA RTX PRO 6000 MaxQ Blackwell cards — 96 GB of ECC GDDR7 each,
192 GB combined — on Intel's flagship Xeon W9-3575X server-board platform.
The models no single card here can hold, the multi-model fleets, the whole-team GPU shares:
this is the box they were waiting for.
192 GB CombinedDual 10 GbE + Management LAN2000 W 80 PLUS GoldAssembled in USA · TAA
The Headline Math
96 + 96, Honestly Counted
GPU 1
96 GB
RTX PRO 6000 MaxQ Blackwell
GDDR7 with ECC — a full flagship-class card with its own memory, Tensor Cores, and MIG partitions.
GPU 2
96 GB
RTX PRO 6000 MaxQ Blackwell
Identical twin — run it pooled with GPU 1, or dedicate it to its own model, team, or tenant.
=192 GBcombinedPooled via tensor/pipeline parallelism for one giant model — or split cleanly: one card per job. Per-card figures as listed; combined is simple arithmetic.
AI Silicon Spotlight · Hardware First
What Twin Flagships Change
GPUs · 2× RTX PRO 6000 MaxQ Blackwell
Capacity, Isolation, and Density — Pick All Three
192 GB combined — split the largest open-weight models across both cards, or give long-context serving room no single card here offers.
Perfect isolation — one card per production model means one model's traffic spike never starves the other.
Two cards of Universal MIG — partition both flagships into isolated instances; a whole team shares safely.
MaxQ density — the power-tuned editions are what let two flagship-class cards share one 2000 W 80 PLUS Gold supply, with headroom.
ECC GDDR7 on both cards — weights on always-on services get bit-flip protection, twice over.
Platform · Intel Xeon W9-3575X
A Server Backbone Built to Feed Two
Xeon W flagship silicon on the server-class Gigabyte MW83-RP0 board — the PCIe muscle two full-length flagships demand.
128 GB DDR5 ECC Registered — multi-day training and preprocessing pipelines finish without silent corruption.
2× 10 Gb/s LAN — two cards' worth of serving traffic, moved at wire speed; management LAN keeps IT out-of-band.
2 TB M.2 NVMe + 3.84 TB SSD — toolchains stay instant; datasets and checkpoints get their own lane.
W773-W80 tower airflow — engineered to keep twin GPUs at full song around the clock.
In Service
Three Jobs Only a Duo Does
01 · One Giant Model
Beyond Any Single Card Here
Tensor and pipeline parallelism spread one massive model across both cards — 192 GB combined holds what this family's single-GPU towers cannot, with context to spare.
Largest open-weight models · long context · private
02 · Two Production Models
A Fleet of Two, Fully Isolated
Chat model on GPU 1, embedding or vision model on GPU 2 — each with a full 96 GB to itself, each isolated from the other's load, both served over dual 10 Gb/s LAN.
One card per model · zero contention
03 · The Whole Team
Twin Cards, Many Tenants
Universal MIG on both cards partitions the duo into isolated instances for researchers, services, and experiments — a departmental GPU utility in one tower, managed out-of-band by IT.
2 × MIG partitions · management LAN
Scene photos are AI-generated illustrations of typical deployments, not photographs of this exact product.
Build to Order
Options Worthy of the Hardware
Optional
Pascari aiDAPTIV SSD
VRAM-expansion tier that offloads to flash — push large-model fine-tuning beyond even this duo's combined memory.
Optional
OpenClaw or NemoClaw
Enterprise AI agent framework pre-installed — agentic automation running the day the tower arrives.
Optional
Local LLM Package
Qwen 3.5 27B or higher, configured for private on-prem inference out of the box.
Full Config
As Configured
ZAW9-3575X-RP6000MQ · Zaurion Duo Aqua
GPUs
2× NVIDIA RTX PRO 6000 MaxQ Blackwell — 96 GB GDDR7 with ECC per card, 192 GB combined
CPU
Intel Xeon W9-3575X — workstation-class Xeon W platform, Socket on Gigabyte MW83-RP0
Each card carries its own 96 GB of GDDR7 with ECC. Modern stacks split one large model across both (tensor/pipeline parallelism), pool capacity for longer context, or dedicate one card per model.
Why MaxQ editions in a dual-GPU build?
Density and thermals: two power-tuned cards run side by side on a single 2000 W 80 PLUS Gold supply, with headroom, in a tower that lives outside a server room. Same 96 GB per card as the full-power edition.
Can it serve a whole team?
That's its natural habitat: two cards of Universal MIG partitions, dual 10 Gb/s LAN for wire-speed serving, and a management port so IT runs it like datacenter gear.
What software options can it ship with?
The Pascari aiDAPTIV SSD tier for VRAM expansion and fine-tuning, pre-installed OpenClaw or NemoClaw agent frameworks, and a Qwen 3.5 27B or higher local LLM package.
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.
192 GB combined GPU memory
Assembled in USA
TAA Compliant
Server-grade ECC platform
Per-card memory (96 GB GDDR7 with ECC) as listed; "192 GB combined" is the arithmetic total across both installed cards — usable capacity depends on the serving/parallelism stack.
ABS Zaurion Duo Aqua ZAW9-3575X-RP6000MQ · Gigabyte MW83-RP0 / W773-W80 platform · Specifications per the Newegg listing.
Optional components and software are configured at time of purchase.
Learn more about the ABS ZAW9-3575X-RP6000MQ
Model
Brand
ABS
Series
Zaurion Duo Aqua
Model
ZAW9-3575X-RP6000MQ
Part Number
ZAW9-3575X-RP6000MQ
Details
Workload
Workstation
Type
Tower
AI Features
AI Development: Accelerate AI development and inference workloads, and build agentic AI applications. Data Science: Accelerate your data pipelines. HPC: Accelerate scientific breakthroughs with enhanced accuracy. AI-Driven Rendering and Graphics: Deliver stunningly realistic designs and simulations with speed and precision. Video Content and Streaming: Boost performance for live media and video pipelines. Game Development: Drive new possibilities for game development with AI.
The ABS Zaurion Duo Aqua ZAW9-3575X-RP6000MQ is a dual-GPU Ubuntu AI workstation built for teams running on-prem inference, fine-tuning, data science, HPC, rendering, and video pipelines that benefit from 2x RTX Pro 6000 Blackwell MaxQ GPUs, 128GB ECC DDR5 memory, and Xeon W9 performance.
Recommended For
Teams building on-prem AI workflows that need large VRAM and local control, such as running larger local LLMs, multi-instance inference, or fine-tuning jobs without relying on cloud GPUs.
Studios and technical teams that actually benefit from multi-GPU workstation layouts for distributed rendering, GPU effects, or mixed render-plus-AI workflows in one tower.
Visualization, CAD, VFX, and rendering users who need workstation-class GPUs for long sessions, high-memory scenes, certified-driver style workflows, and room to scale beyond a single consumer card.
Data science, simulation, and engineering users who want a desk-side Linux workstation with ECC memory, Xeon platform features, and enough CPU/GPU headroom for large local datasets and accelerated pipelines.
Spec Summary
Attribute
Value
Best For
Multi-GPU AI development and on-prem inference, data science and HPC workloads, AI-driven rendering and simulations, video content/streaming pipelines, and game development that require workstation-class GPUs and large memory
Processor And Count
Single Intel Xeon W9-3575X processor installed
GPU And VRAM
Dual NVIDIA RTX Pro 6000 Blackwell MaxQ GPUs with 96 GB GDDR7 video memory
Memory Configuration
128 GB DDR5 installed memory
Storage And Expansion
Includes a 2TB M.2 NVMe OS SSD and a 4TB data SSD (both installed)
Power And Power Supply
Single 2000W ATX 80 PLUS Gold power supply
Chassis And Form Factor
Tower workstation enclosure
Operating System And Software
Ubuntu operating system preinstalled
Model Identifiers
ABS Zaurion Duo Aqua — model ZAW9-3575X-RP6000MQ (GIGABYTE W773-W80 GPU workstation)
AI And Workload Features
Designed to accelerate AI development and inference, data pipelines, HPC tasks, AI-driven rendering and graphics, video/media pipelines, and game development workflows
here!
