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NVIDIATowerPrivate use

Workstation RTX PRO 6000

Blackwell serving power: 96 GB per card, in a WRX90 workstation tower.

Starting at $31,668Built to order1–2 weeks

Workstation RTX PRO 6000

Plan your model.

Memory planning for reviewed model profiles.

See every model

  1. gpt-oss 120B

    ollama · Precision not pinned80 GB threshold · 96 GB capacity128 GB system RAM required

  2. Llama 3.3 70B

    ollama · Precision not pinned80 GB threshold · 96 GB capacity128 GB system RAM required

Catalog thresholds are planning guidance, not measured peak memory. Confirm the artifact, precision, system RAM and runtime before deployment.

Build yours.

Workstation RTX PRO 6000

1× 96 GBInstalled GPU memory · 96 GB

System RAM
256 GB
Delivery
Hosted in Oregon
Use
Private use

GPUs

1× 96 GB = 96 GB of VRAM

System memory

Storage

Delivery

Custom CPU, board, or more than the configurator allows?

What's inside.

The Workstation Edition pairs 96 GB of GDDR7 with Blackwell render and AI cores. Model fit depends on precision, cache, runtime reserve and workload. B3IQ builds this edition as a WRX90 Threadripper PRO tower: bought outright, hosted in Oregon or shipped to you.

GPU
1×NVIDIA RTX PRO 6000 Blackwell Workstation Edition 96GB
Blackwell silicon, the serving sweet spot.
Memory per GPU
96GB GDDR7
1.6 TB/s memory bandwidth per GPU. Check the runtime profile for your workload's memory requirements.
CPU
Threadripper PRO 9965WX (24c)
The selected build lists the exact processor and board.
Motherboard
WRX90 workstation board
Server barebones: chassis, redundant PSUs and cooling, matched to the card count.
Cooling
Tuned workstation tower airflow
Cards cooled in a tuned airflow path.
Power
~1.2 kW (1×) to ~1.9 kW (4×)
Sized for sustained multi-GPU serving load.
System memory
256 GB DDR5 RDIMM
Storage
4 TB NVMe

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  • RTX PRO 6000 Server Edition

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    RTX PRO 6000 Server Edition

    96 GB per GPU for memory-heavy inference. Check the runtime and cache budget.

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Deployment planning

Plan your model deployment.

Check the model artifact, runtime and memory requirements before choosing hardware. The guides separate catalog settings from estimates and measured evidence.

Browse model guides

Reviewed model identities, runtime profiles and source evidence.

Find hardware by memory

Estimate the memory budget for the workload you want to run.

Compare providers and GPUs

Compare purchasing models, operating responsibilities and hardware.

How we review model evidence

Catalog settings, memory estimates and measured evidence have different limits.

Daryl XuViktoriya HyingSean GengMatt

Questions before you buy?

Invoicing, net terms, a custom build, a BAA or a security review. We'll sort it out on a call.

Book a callExplore machines

Or message us: iMessage +1 (332) 324-8327Telegram @b3iqbot