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GPU comparison

RTX 5090 vs RTX PRO 6000 Blackwell: which one for AI.

Both are Blackwell GPUs with 1,792 GB/s of memory bandwidth. The difference that matters most for AI is memory: 32GB on the GeForce RTX 5090 and 96GB on the RTX PRO 6000 Blackwell Workstation Edition. That sets the largest model each card loads, and it decides which of our workstation builds each one goes into.

Specifications side by side

GeForce RTX 5090RTX PRO 6000 Blackwell Workstation Edition
ArchitectureNVIDIA BlackwellNVIDIA Blackwell
GPU memory32GB GDDR796GB GDDR7
Memory interface512-bit512-bit
Memory bandwidth1,792 GB/s1,792 GB/s
CUDA cores21,76024,064
Board power575W600W
Host interfacePCIe 5.0 x16PCIe 5.0 x16
GPUs per system, our builds1 (JNCS AI 5090)1 or 2 (AI PRO); 1, 2, or 4 (AI MAX)
Platform, our buildsRyzen 9000, 64GB to 128GB DDR5Threadripper 9000 or Threadripper PRO 9000, registered ECC DDR5 up to 1TB

Card specifications as published by NVIDIA. Board power is the card's rating; the configurator's power estimate covers the whole system.

What the difference means for AI

Model size

32GB holds a 30B-class model at 4-bit quantization. 96GB holds a 70B model at 8-bit on one card, and two cards hold a 70B model at 16-bit.

VRAM sizing guide →

Speed on models that fit

With the same architecture and the same memory bandwidth, the two cards are close on any model that fits in 32GB. The RTX PRO 6000 has about 10% more CUDA cores.

More than one GPU

Our RTX 5090 build is a single-GPU system on a standard circuit. RTX PRO cards go two or four to a system on Threadripper platforms, each with a full PCIe 5.0 x16 link.

Multi-GPU AI workstation →

Drivers

RTX PRO cards use NVIDIA's professional RTX Enterprise drivers. GeForce cards use NVIDIA's Game Ready and Studio drivers.

In between: RTX PRO 4500 and 5000

For work that needs more than 32GB per card, or several cards on one circuit.

GPUMemoryBandwidthPower
RTX PRO 4500 Blackwell32GB GDDR7896 GB/s200W
RTX PRO 5000 Blackwell48GB GDDR71,344 GB/s300W
RTX PRO 5000 Blackwell72GB GDDR71,344 GB/s300W
RTX PRO 6000 Blackwell Workstation Edition96GB GDDR71,792 GB/s600W

The RTX PRO 4500 matches the RTX 5090's 32GB at about a third of the power, which matters when four cards share one circuit.

Which to choose

Choose the RTX 5090

Your models fit in 32GB, one GPU is enough, and the system needs to run from an ordinary outlet.

JNCS AI 5090 →

Choose the RTX PRO 6000

You need more than 32GB on one card, plan on two GPUs, or want a Threadripper platform with registered ECC system memory.

JNCS AI PRO →

Choose four GPUs

Up to 384GB of VRAM in one tower, for training and for serving models to several users.

JNCS AI MAX →

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.

RTX 5090 vs RTX PRO 6000 questions

Is the RTX PRO 6000 faster than the RTX 5090?
On models that fit in 32GB they are close: both are Blackwell GPUs with 1,792 GB/s of memory bandwidth, and the RTX PRO 6000 has about 10% more CUDA cores, 24,064 against 21,760. The large difference is memory, 96GB against 32GB. A model between 32GB and 96GB that does not fit on the RTX 5090 runs on one RTX PRO 6000.
Can I put two RTX 5090s in a workstation?
Not in our lineup. The JNCS AI 5090 is a single-GPU system sized for a standard 15A circuit. For two GPUs we use RTX PRO Blackwell cards in the JNCS AI PRO; two RTX PRO 4500 cards give the same 64GB in total at about a third of the power.
Which is better for local LLMs?
The one with enough VRAM for your model. A 30B-class model at 4-bit quantization fits on the RTX 5090. A 70B model needs approximately 48GB at 4-bit, so it needs an RTX PRO 5000 or 6000. See the local LLM sizing guide.
Is the RTX PRO 6000 worth it over the RTX 5090?
If your work fits in 32GB, the RTX 5090 build costs less and runs from a standard outlet. If it does not, the RTX PRO 6000 keeps a model on a single GPU instead of splitting it across cards. The configurator shows the price of each build as you configure it.
How much power do they need?
The RTX 5090 is a 575W card, and our RTX 5090 build draws approximately 795W to 845W at full load on a standard 15A circuit. The RTX PRO 6000 is a 600W card: one in a Threadripper system runs on a standard circuit, two require a dedicated 20A circuit, and four require a dedicated 30A, 220-240V circuit.
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 5090 AI workstation

JNCS AI 5090

One GeForce RTX 5090, 32GB VRAM, Ryzen 9000, standard 15A circuit.

Read →

RTX PRO 6000 Blackwell workstation

JNCS AI PRO

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

Read →

Dual RTX PRO 6000 workstation

2× RTX PRO 6000

192GB of VRAM on two 96GB GPUs, and the circuit it needs.

Read →

Local LLM workstation guide

Sizing guide

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

Read →

Image and video generation

Generative media

VRAM for diffusion models, and one generation queue per GPU.

Read →

Multi-GPU AI workstation

JNCS AI MAX

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

Read →

Configure either one.

The RTX 5090 is in the JNCS AI 5090; the RTX PRO 6000 is in the AI PRO and AI MAX. Every part shows its price, and the total updates as you go.

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.