RTX PRO 6000 vs RTX 5090: Specs, VRAM & Price

Short answer: pick the RTX PRO 6000 when you need to fit a large model (or a big KV cache) on one GPU, or you need ECC memory for a production workload. Pick the RTX 5090 when your workload already fits in 32GB and gaming-card pricing matters more than workstation-grade ECC.

The RTX 5090 has 32 GB of VRAM; the RTX PRO 6000 has 96 GB.

You can rent both by the hour, no purchase required. RTX 5090 from $0.613/GPU/hr; RTX PRO 6000 from $1.38/GPU/hr. The RTX 5090 is 55% cheaper at the entry rate.

RTX 5090

Good for inference and light fine-tuning workloads

$0.613/hr
Lowest / GPU
$1.09/hr
Median / GPU
32 GB
VRAM
Blackwell
Architecture

RTX PRO 6000

Good for training and serving frontier-scale LLMs

$1.38/hr
Lowest / GPU
$2.19/hr
Median / GPU
96 GB
VRAM
Blackwell
Architecture

Last updated: 2026-11-03 UTCRefreshes every 6 hours

Specs side by side

SpecRTX 5090RTX PRO 6000
VRAM32 GB96 GB
Memory bandwidth1,792 GB/s1,792 GB/s
ArchitectureBlackwellBlackwell
Compute capability12.012.0
Precisions in hardwareFP32, FP16, BF16, FP8, INT4FP32, FP16, BF16, FP8, INT4
Max board power (TDP)575W600W
Form factorPCIe 5.0 x16PCIe 5.0 x16
Regions26

On-demand price

RateRTX 5090RTX PRO 6000
Lowest per GPU/hr$1.09/GPU/hr$1.98/GPU/hr

Which is better for AI: RTX PRO 6000 or RTX 5090?

The RTX PRO 6000 Blackwell carries 96GB of ECC GDDR7 at 1,792 GB/s (NVIDIA, Aug 2026), 3x the RTX 5090's 32GB of non-ECC GDDR7, which is the difference between a card that fits a large model plus KV cache in one GPU and one that needs to shard. Pick the RTX PRO 6000 when you need to fit a large model (or a big KV cache) on one GPU, or you need ECC memory for a production workload; pick the RTX 5090 when your workload already fits in 32GB and gaming-card pricing matters more than workstation-grade ECC. On price the RTX 5090 undercuts the RTX PRO 6000 by 55% at the entry rate ($0.613 vs $1.38/GPU/hr). Worth weighing if the deciding factor above isn't a hard requirement for your job.

Decision criteria

VRAM32 GB (RTX 5090) vs 96 GB (RTX PRO 6000). NVIDIA's own product pages confirm 96GB ECC GDDR7 on the PRO 6000.
Memory bandwidthRTX PRO 6000 Blackwell: 1,792 GB/s GDDR7 (NVIDIA, Aug 2026).
ECC memoryRTX PRO 6000 is a workstation card with ECC; the RTX 5090 is a consumer card without it.
Availability2 region(s) list the RTX 5090 vs 6 for the RTX PRO 6000.
Entry price$0.613/GPU/hr (RTX 5090) vs $1.38/GPU/hr (RTX PRO 6000).

Pick the RTX 5090 when

  • Your model fits comfortably in 32GB and you don't need ECC
  • You want the lower hourly rate for inference or small-batch work
  • RTX PRO 6000 supply is thin in your region

Pick the RTX PRO 6000 when

  • You need to fit a large model or a big KV cache on one GPU
  • You're running a production workload where ECC memory matters
  • You need the extra bandwidth for large-batch serving

Price-performance

At list rates, 1,000 GPU-hours costs $613 on the RTX 5090 against $1,375 on the RTX PRO 6000. Neither NVIDIA nor Aquanode publishes a workload-normalized $/token or $/epoch figure for this pair, so $/GPU-hour below is the only apples-to-apples number. A faster card can still cost less per finished job even at a higher hourly rate.

RTX PRO 6000 vs RTX 5090: common questions

Is the RTX 5090 or the RTX PRO 6000 better for AI?

Short answer: pick the RTX PRO 6000 when you need to fit a large model (or a big KV cache) on one GPU, or you need ECC memory for a production workload. Pick the RTX 5090 when your workload already fits in 32GB and gaming-card pricing matters more than workstation-grade ECC.

Is the RTX 5090 or the RTX PRO 6000 cheaper to rent?

On Aquanode's live marketplace the RTX 5090 starts at $0.613/GPU/hr (median $1.09/GPU/hr) and the RTX PRO 6000 starts at $1.38/GPU/hr (median $2.19/GPU/hr). The RTX 5090 is the cheaper of the two at the entry rate, by 55%.

What is the difference between the RTX 5090 and the RTX PRO 6000?

The RTX 5090 has 32 GB of VRAM against the RTX PRO 6000's 96 GB; both are Blackwell parts; both run BF16, FP8, INT4 workloads in hardware. On price, the RTX 5090 lists from $0.613/GPU/hr and the RTX PRO 6000 from $1.38/GPU/hr.

How widely available are the RTX 5090 and the RTX PRO 6000?

The RTX 5090 is listed in 2 regions and the RTX PRO 6000 in 6 regions right now.

How much does 1,000 GPU-hours cost on the RTX 5090 vs the RTX PRO 6000?

At the lowest rates listed today, 1,000 GPU-hours costs $613 on the RTX 5090 and $1,375 on the RTX PRO 6000, a difference of $762 for the same runtime. Rates are per GPU per hour and update hourly.

How much VRAM does the RTX 5090 have compared to the RTX PRO 6000?

The RTX 5090 has 32 GB of VRAM; the RTX PRO 6000 has 96 GB.

Is the RTX PRO 6000 basically a 5090 with more VRAM?

Not quite. It's the workstation-class Blackwell part: 96GB of ECC GDDR7 at 1,792 GB/s versus the RTX 5090's 32GB of non-ECC GDDR7 (NVIDIA product pages, Aug 2026). On Aquanode the PRO 6000 lists from $1.38/GPU/hr against the 5090's $0.613/GPU/hr, so the 3x VRAM comes at a real premium.

Does the RTX 5090 or the RTX PRO 6000 support NVLink?

Neither the RTX 5090 nor the RTX PRO 6000 has a dedicated GPU-to-GPU interconnect.

How this comparison is calculated

Every price is normalized to a per-GPU hourly rate using the same pipeline as every other pricing surface on Aquanode, and only the cheapest qualifying offer per provider is shown. A dash means that provider does not currently list that GPU.

Architecture, compute capability and supported precisions come from each vendor's published datasheet for that generation, not from the marketplace feed. This page regenerates at most once per hour.

Memory bandwidth, tensor TFLOPS, NVLink/interconnect and max board power are the same verified-from-datasheet figures shown on each model's own RTX 5090 page and RTX PRO 6000 page, which link the primary vendor source for that model. A dash here means Aquanode hasn't verified that figure from a primary source yet, never a guess.

Go further

Check what fits in each card's memory with the RTX 5090 VRAM calculator and the RTX PRO 6000 VRAM calculator, or browse every model by generation in the GPU index.

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