GPU comparison

RTX 4090 vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

Ada LovelacevsBlackwellUpdated 33 days ago

The RTX PRO 6000 wins for the most common use case of LLM training. Its 96 GB VRAM and 503.8 TFLOPS dense FP16 exceed the RTX 4090 figures by four times and three times respectively while 1792 GB/s bandwidth supports larger batches than 1008 GB/s.

RTX 4090 from $0.41/GPU/hrRTX PRO 6000 from $0.69/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 4090 at $0.41/hr on Vast.ai

    Deploy
  • Most providers in stock: RTX PRO 6000 (6)

    See all offers
  • Best $ per TFLOPS FP16 dense right now: RTX PRO 6000 ($0.0014 per TFLOPS-hour at 503.8 TFLOPS)

    Deploy

Specifications Compared

SpecRTX 4090RTX PRO 6000
TDP450W600W
VRAM24 GB96 GB
CUDA Cores16,38424,064
FP4 (dense)Not published2,015.2 TFLOPS
FP8 (dense)330.3 TFLOPS1,007.6 TFLOPS
Memory TypeGDDR6XGDDR7
ArchitectureAda LovelaceBlackwell
FP16 (dense)165.2 TFLOPS503.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)660.6 TOPS1,007.6 TOPS
InterconnectPCIe 4.0PCIe 5.0
Tensor Cores512752
FP32 Performance82.6 TFLOPS126 TFLOPS
FP64 Performance1.3 TFLOPSNot published
Memory Bandwidth1,008 GB/s1,792 GB/s
FP4 (with sparsity)Not published4,030.4 TFLOPS
FP8 (with sparsity)660.6 TFLOPS2,015.2 TFLOPS
FP16 (with sparsity)330.4 TFLOPS1,007.6 TFLOPS
INT8 (with sparsity)1,321.2 TOPS2,015.2 TOPS

Performance Analysis

Dense FP16 performance reaches 165.2 TFLOPS on the RTX 4090 and 503.8 TFLOPS on the RTX PRO 6000. The FP16 to FP32 ratio equals 2.0 on the RTX 4090 and 4.0 on the RTX PRO 6000. Higher dense FP16 throughput combined with 1792 GB/s bandwidth on the RTX PRO 6000 supports larger batch sizes during both training and inference workloads. With sparsity the FP16 figures become 330.4 TFLOPS versus 1007.6 TFLOPS. Memory bandwidth of 1008 GB/s on the RTX 4090 limits maximum concurrent data movement compared with 1792 GB/s on the RTX PRO 6000.

Current On-Demand Offers

Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.

RTX 4090

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiUnited Kingdom, GB2$0.41$0.83Deploy
RunPodglobal1$0.89—Deploy
LeaderGPUThe Netherlands1$1.66—Deploy

3 providers in stock, 7 offers (cheapest per provider shown). All RTX 4090 offers, price history and alerts

RTX PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.69—Deploy
Vast.aiCzechia, CZ1$1.49—Deploy
Massed Computeus-central-94$2.19$8.76Deploy
VERDAFIN-HEL4$2.37$9.48Deploy
QuantaCloudus-midwest-44$2.38$9.53Deploy

6 providers in stock, 23 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

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When to Choose the RTX 4090

The RTX 4090 suits workloads that fit within 24 GB VRAM and require only 450W TDP. Scientific computing tasks that rely on 82.6 TFLOPS FP32 can proceed without excess power draw. Users who need PCIe 4.0 interconnect rather than PCIe 5.0 find the RTX 4090 sufficient for stable diffusion jobs that do not exceed its memory capacity.

When to Choose the RTX PRO 6000

The RTX PRO 6000 suits workloads that require 96 GB VRAM and dense FP16 throughput of 503.8 TFLOPS. Inference pipelines gain from FP8 dense performance of 1007.6 TFLOPS when model scale exceeds 24 GB limits.

Use Cases

LLM Training
RTX PRO 6000

The RTX PRO 6000 provides 96 GB VRAM against 24 GB and 503.8 TFLOPS dense FP16 against 165.2 TFLOPS.

LLM Inference
RTX PRO 6000

The RTX PRO 6000 supplies 1007.6 TFLOPS dense FP8 and 1792 GB/s bandwidth for larger concurrent batches.

Fine-tuning
RTX PRO 6000

Stable Diffusion
RTX 4090

The RTX 4090 meets typical image generation needs inside 24 GB VRAM at 450W TDP.

Scientific Computing
Either

The RTX 4090 delivers 82.6 TFLOPS FP32 at lower 450W TDP while the RTX PRO 6000 delivers 126 TFLOPS FP32 when higher precision throughput is required.

Frequently Asked Questions

What are the dense FP16 ratings?▾

The RTX 4090 reaches 165.2 TFLOPS dense FP16 and the RTX PRO 6000 reaches 503.8 TFLOPS dense FP16.

Which GPU has higher memory bandwidth?▾

The RTX PRO 6000 provides 1792 GB/s bandwidth compared with 1008 GB/s on the RTX 4090.

What TDP values are listed?▾

The RTX 4090 lists 450W TDP and the RTX PRO 6000 lists 600W TDP.

Do both GPUs use the same interconnect generation?▾

The RTX 4090 uses PCIe 4.0 while the RTX PRO 6000 uses PCIe 5.0.

What FP32 performance is published?▾

The RTX 4090 publishes 82.6 TFLOPS FP32 and the RTX PRO 6000 publishes 126 TFLOPS FP32.

Which is cheaper to rent, the RTX 4090 or the RTX PRO 6000?▾

Cloud rental prices for both the RTX 4090 and RTX PRO 6000 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.

How much VRAM does the RTX 4090 have compared to the RTX PRO 6000?▾

The RTX 4090 has 24 GB of GDDR6X memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find RTX 4090 and RTX PRO 6000 GPUs available to rent right now?▾

Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.

What is the main difference between the RTX 4090 and the RTX PRO 6000?▾

The RTX 4090 uses the Ada Lovelace architecture (2022) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 3.0x the dense FP16 throughput (503.8 vs 165.2 TFLOPS, both without sparsity) and 1.8x the memory bandwidth of the RTX 4090.

Rent these GPUs

Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.

Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 4090 and the RTX PRO 6000. Dense and sparse throughput are listed separately.
  • Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
  • The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
  • Read how we collect the data, or report an error on this page.

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