ABS Zaurion Aqua · AI Workstation · ZAW9-3575X-RP6000

Still Waters. 4000 TOPS Deep.1,2

Intel Xeon W9-3575X  ·  NVIDIA RTX PRO 6000 Blackwell  ·  96 GB GDDR7

Stop renting GPUs. The Zaurion Aqua puts data-center silicon in a quiet tower: 96 GB of GDDR7 on a single professional Blackwell card, a flagship Xeon W backbone, and Ubuntu ready for CUDA on first boot. Your models, your data, your hardware — zero cloud bills.

AI Ready Runs Large Local LLMs Ubuntu Pre-Installed Assembled in USA TAA Compliant
Illustrative scene — a quiet tower workstation serving a private local AI assistant at night
96 GB
GDDR7 GPU memory
128 GB
DDR5 ECC Registered
5.84 TB
SSD storage installed
2×10 GbE
+ management LAN
2000 W
80 PLUS Gold PSU
Module 02 · Explore the Machine

Every Port Has a Job. Hover the Dots.

The rear panel reads like a datacenter spec sheet. Hover each marker (or read the legend) to see what this workstation-class I/O actually buys you.

Rear I/O of the Zaurion Aqua — networking, quad DisplayPort, PCIe expansion, and 2000 W PSU 1 Dual 10 GbE + management LANWire-speed dataset transfers to your NAS or cluster, plus out-of-band IT control. 2 Directed exhaust airflowEngineered cooling keeps CPU and GPU at full boost through multi-day runs. 3 Quad DisplayPort on the RTX PRO 6000Drive multi-monitor and 8K-class displays with DisplayPort 2.1. 4 Full-height PCIe expansionServer-class Gigabyte MW83-RP0 board with room for future accelerators and NICs. 5 2000 W 80 PLUS Gold PSUEfficient, stable headroom for sustained full-load GPU training.
Rear panel, actual product photo — hotspot positions are content-editable.
  • 1
    Dual 10 Gb/s LAN + management port

    A 100 GB corpus lands in minutes, not hours — and IT can power-cycle and monitor the box remotely, even when the OS is down.

  • 2
    Directed exhaust airflow

    Internal airflow diversion sustains full boost clocks around the clock.

  • 3
    Quad DisplayPort (RTX PRO 6000 Blackwell)

    DisplayPort 2.1 bandwidth for color-accurate multi-monitor and 8K-class work.

  • 4
    Full-height PCIe expansion

    The server-grade Gigabyte MW83-RP0 platform leaves lanes for tomorrow's cards.

  • 5
    2000 W 80 PLUS Gold power

    One PSU, zero drama — headroom for the GPU, CPU, and everything you add.

Module 03 · Usage Scenarios

Six Jobs It Does on Day One

Business and prosumer workloads this exact configuration was built for — no hypotheticals.

Illustrative scene — AI startup office with deskside tower workstation and LLM dashboards

Private ChatGPT-Style Assistant

Serve large open-weight models to the whole team with an OpenAI-compatible API. Zero per-token bills; nothing leaves your firewall.

Qwen / Llama on vLLM or Ollama · long-context chat for dozens of users
Illustrative scene — research lab with training-loss and GPU-memory charts on a wall display

Fine-Tune on Your Own Data

Adapt models to your domain — support transcripts, contracts, catalogs. LoRA fits in 96 GB; optional aiDAPTIV unlocks full fine-tuning of ~34B models.3

LoRA / QLoRA in PyTorch · ECC keeps multi-day runs clean
Illustrative scene — analyst querying an enterprise knowledge base with cited document results

RAG Knowledge Base

Index wikis, tickets, and manuals; employees ask in plain language, answers come back grounded with sources — all on-prem.

Embeddings + reranking on-GPU · 3.84 TB data SSD for the corpus
Illustrative scene — operations engineer monitoring an AI agent pipeline dashboard with auto-triaged tickets

Agentic AI Automation

Agents that read tickets, draft replies, and chain multi-step tasks — optionally shipped with OpenClaw or NemoClaw pre-installed.

Support triage · code-review bots · MIG isolates each agent
Illustrative scene — engineer with a ray-traced CAD model and physics simulation heat map

Rendering & Simulation

4th-gen RT Cores drive photoreal ray tracing for product design, AECO, and digital twins; 96 GB holds scenes smaller cards can't open.

Blender / V-Ray / Omniverse · 8K-class output via DisplayPort 2.1
Illustrative scene — color-grading and editing studio with dual monitors and tower workstation

Pro Video & Streaming

9th-gen NVENC and 6th-gen NVDEC accelerate encode and ingest, including 4:2:2 H.264/HEVC, for editing suites and live production.

Multi-stream 4K/8K editing · AI upscaling & enhancement

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

Module 04 · Comparison Highlights

The Numbers That Matter

4000 TOPS
AI Performance1,2
380 TFLOPS
RT Core Performance1
125 TFLOPS
Single-Precision1
This workstation — RTX PRO 6000 Blackwell
96 GB
Typical single-GPU workstation
24 GB

Illustrative comparison of usable GPU memory for model loading.

Storage ships ready for real work — a 2 TB M.2 NVMe system drive plus a 3.84 TB data SSD — and the optional Pascari aiDAPTIV SSD tier rewrites the fine-tuning math:

Target Model SizeVRAM Needed (Without aiDAPTIV)VRAM Needed (With aiDAPTIV)
~13B120–200 GB32 GB
~34B250–350 GB96 GB — this workstation's GPU
~70B500–700 GB192 GB

Pascari aiDAPTIV SSD is an optional add-on and is not included by default. VRAM figures are vendor-published estimates for full fine-tuning.3

Module 05 · Customer Use Cases & Options

Deploy It Your Way

Illustrative deployment profiles — and the Build-to-Order options that fit each one:

Illustrative scene — IT administrator cabling the rear panel with a management console laptop
Rolls in like a desktop, managed like a server — out-of-band control via the dedicated management LAN. Illustrative scene.
Profile

The AI Product Team

Private LLM serving + fine-tuning on customer data

Inference by day, LoRA runs by night. Pair with the Local LLM Package (Qwen 3.5 27B or higher, pre-configured) and skip setup week entirely.

Profile

The Research Lab

Shared GPU for a team, procurement-friendly

MIG gives each researcher an isolated GPU slice; TAA compliance and USA assembly clear public-sector purchasing. Add the Pascari aiDAPTIV SSD for full fine-tuning headroom.3

Profile

The Automation Builder

Agentic AI in production

Order it with OpenClaw or NemoClaw pre-installed and ship ticket-triage and code-review agents in week one, isolated per MIG partition.

Sibling Config

Step Up: Dual GPU

Same Xeon W9-3575X platform with 2× RTX PRO 6000 Blackwell MaxQ for maximum combined GPU memory — compare options on this listing.

Sibling Config

Value Entry: Xeon W5

Xeon W5-2455X with the same 96 GB Blackwell GPU — the budget door into large-model territory.

Build to Order

Custom Built After Order

Every unit is assembled and stress-tested in the USA to your configuration — request a quote or customize from this page.

Module 06 · FAQ

Quick Answers Before You Buy

Can it really run large language models locally?

Yes. 96 GB of GDDR7 on a single card loads large open-weight models (Qwen, Llama, and similar) for inference and LoRA fine-tuning; the optional aiDAPTIV tier extends full fine-tuning to ~34B-class models.3

What operating system does it ship with?

Ubuntu comes pre-installed — the native home of CUDA, PyTorch, vLLM, and the open-source AI stack.

Can several people share one machine?

Yes. Universal MIG partitions the GPU into isolated instances, and 2 × 10 Gb/s LAN ports serve model APIs to your whole team at wire speed.

Is it eligible for government / public-sector purchasing?

It is 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. As a Build to Order system, it is custom built and stress-tested after purchase.

Assembled in USA
TAA Compliant
Server-grade ECC platform
Build to Order flexibility
1. Peak rates based on GPU Boost Clock.   2. Theoretical FP4 TOPS using sparsity. NVIDIA performance figures as published by NVIDIA for the RTX PRO 6000 Blackwell.   3. VRAM requirement figures are vendor-published estimates for full fine-tuning with the optional aiDAPTIV tier; actual results vary by model and configuration. ABS Zaurion Aqua ZAW9-3575X-RP6000 · Optional components and software are configured at time of purchase.