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Two RTX PRO 6000 GPUs

Dual RTX PRO 6000 Blackwell workstation, 192GB of VRAM.

Two RTX PRO 6000 Blackwell Workstation Edition cards provide 192GB of GDDR7 and 48,128 CUDA cores. We build the pair on two platforms: the JNCS AI PRO on Threadripper 9000, and the JNCS AI MAX on Threadripper PRO 9000, which has the slots and power cables for four GPUs.

Two platforms for the pair

Both run each GPU on a dedicated PCIe 5.0 x16 slot.

JNCS AI PROJNCS AI MAX
ProcessorThreadripper 9000: 24, 32, or 64 coresThreadripper PRO 9000: 16 to 96 cores
PCIe 5.0 lanes80128
Memory64GB to 512GB registered ECC DDR5, four channels128GB to 1TB registered ECC DDR5, eight channels
MotherboardASUS Pro WS TRX50-SAGE WIFIASUS Pro WS WRX90E-SAGE SE
NVMe drivesUp to twoUp to four
CaseFractal Design Define 7SilverStone WS380-E, eight hot-swap 3.5-inch bays
GPU count offered1 or 21, 2, or 4

What 192GB of VRAM runs

Total VRAM sets the largest model that can be loaded.

Model weights occupy roughly parameters × bits per weight ÷ 8. A 70-billion-parameter model at 4-bit quantization is about 35GB of weights; with context and runtime overhead it requires approximately 48GB of VRAM. Context length and batch size add to every figure below.

A 70B model at 16-bit

A 70B model at 16-bit precision is about 140GB of weights and fits across the two cards with no quantization.

Larger quantized models

At 4-bit quantization, models of roughly 200 to 300 billion parameters fit, depending on context length.

Several users at once

Each active conversation needs its own context memory on the GPU. The headroom above the weights decides how many users, and how long a context, a model can serve at once.

LoRA on a 70B model

LoRA fine-tuning on a 16-bit 70B base needs about 140GB for the frozen weights, which fits across the pair.

Fine-tuning guide →

Power and circuit requirements

Two RTX PRO 6000 cards with a 350W Threadripper or Threadripper PRO processor draw approximately 1,650W at full load. Both builds use the SilverStone HELA 3000Rz, a 3000W 80 Plus Platinum supply with a 12V-2x6 cable for each GPU, for this configuration. The system requires a dedicated 20A, 110–120V circuit, and a 30A, 220–240V circuit is recommended. A standard 15A, 120V circuit supplies 1,440W continuously, which is not enough.

One RTX PRO 6000, or two RTX PRO 4500 or 5000 cards, draws 650W to 1,050W and runs on a standard circuit.

Assembly, burn-in, and delivery

Each system is assembled by hand at our shop in Fairport, NY, by a shop that has built computers for more than thirty years.

Fit and power validated

The configurator checks physical fit, memory, PCIe slots, and power on every selection. The power supply is sized automatically to the GPU count and estimated draw, with a 12V-2x6 cable for every GPU.

Burn-in under load

Every system is stress-tested under sustained full load and firmware-updated before it leaves the bench, so the first long job is not the first test.

Windows 11 Pro installed

Windows 11 Pro is installed and updated before shipment.

Warranty and support

Every build carries a 3-year warranty and lifetime technical support from the shop that built it.

Quoting and payment

The configurator shows a price for every part and an estimated total, including assembly, burn-in, and testing, as the build is configured. GPU and memory pricing changes frequently, so a technician confirms GPU availability and final pricing by email, with lead time, typically within 1-2 business days. There is no cost and no obligation to request a quote.

Payment for AI workstations is by ACH bank transfer; credit cards are not accepted for these systems. An invoice with bank details is issued once the quote is approved. Systems ship across the United States from Fairport, NY, with local pickup available.

Dual RTX PRO 6000 questions

How much VRAM do two RTX PRO 6000 cards have?
192GB. Each RTX PRO 6000 Blackwell Workstation Edition has 96GB of GDDR7. Models larger than one card are split across both GPUs by the inference or training framework.
What power does a dual RTX PRO 6000 workstation need?
Approximately 1,650W at full load with a Threadripper processor. The system uses a 3000W power supply and requires a dedicated 20A, 110-120V circuit; a 30A, 220-240V circuit is recommended. A standard 15A circuit is not enough.
AI PRO or AI MAX for two RTX PRO 6000 cards?
The JNCS AI PRO is the lower-cost platform for a pair: Threadripper 9000 with 80 PCIe 5.0 lanes and up to 512GB of memory. The JNCS AI MAX adds Threadripper PRO, eight memory channels up to 1TB, four NVMe slots, a case with eight hot-swap bays, and room for four GPUs.
Can a 70B model run unquantized on two RTX PRO 6000 cards?
Yes. A 70B model at 16-bit precision is about 140GB of weights, which fits in 192GB with room for context.
Is two RTX PRO 6000 cards better than four RTX PRO 5000 cards?
Two RTX PRO 6000 cards and four 48GB RTX PRO 5000 cards both total 192GB, and four 72GB RTX PRO 5000 cards total 288GB. With two larger cards a model is split fewer ways, and anything up to 96GB fits on a single card. Four cards require the AI MAX. Both configurations need a dedicated 20A circuit. Choose by how large a model must fit on one card, and by total VRAM.
How is an AI workstation ordered and paid for?
Configure the system, which shows an estimated total as you go, and request a quote; there is no cost or obligation. A technician confirms GPU availability, final pricing, and lead time by email, typically within 1-2 business days. Payment is by ACH bank transfer once the quote is approved.

Related AI workstation pages

RTX PRO 6000 Blackwell workstation

JNCS AI PRO

One or two RTX PRO Blackwell GPUs, up to 192GB VRAM, Threadripper 9000.

Read →

Multi-GPU AI workstation

JNCS AI MAX

Up to four RTX PRO Blackwell GPUs, up to 384GB VRAM, Threadripper PRO 9000.

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Local LLM workstation guide

Sizing guide

How much VRAM a model needs, and which build provides it.

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LLM fine-tuning workstation

Fine-tuning

VRAM for full fine-tuning, LoRA, and QLoRA, by model size.

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RTX 5090 vs RTX PRO 6000

Comparison

32GB vs 96GB, side by side, and which build each goes into.

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Private on-premises AI

For business

Run LLMs on your own hardware, sized for your team.

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Configure a dual RTX PRO 6000 workstation.

Select the RTX PRO 6000 and two GPUs in the AI PRO or AI MAX. The configurator sizes the power supply and shows the circuit requirement.

Have an exact parts list or a department spec sheet? Send the whole list. For more than four GPUs or rackmount systems, see AI servers and larger systems.