GPU comparison

RTX 5070 vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

BlackwellvsBlackwellUpdated 28 days ago

Rent the RTX PRO 6000 if your model does not fit in 16 GB; its 96 GB is 6 times the RTX 5070 ceiling and 1792 GB/s bandwidth is about 2.7 times 672 GB/s, so it runs single card jobs the RTX 5070 cannot start. Rent the RTX 5070 when the model fits in 12 to 16 GB and you are serving one user or developing, because it uses the same Blackwell FP8 and FP4 formats and the 8.2 times FP16 gap only pays off when you have the batch to feed it.

RTX 5070 listed from $0.17/GPU/hrRTX PRO 6000 listed from $0.69/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX PRO 6000 at $0.69/hr on RunPod

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  • Most providers in stock: RTX PRO 6000 (5)

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Specifications Compared

SpecRTX 5070RTX PRO 6000
TDP250W600W
VRAM12-16 GB96 GB
CUDA Cores6,14424,064
FP4 (dense)493.9 TFLOPS2,015.2 TFLOPS
FP8 (dense)123.5 TFLOPS1,007.6 TFLOPS
Memory TypeGDDR7GDDR7
ArchitectureBlackwellBlackwell
FP16 (dense)61.7 TFLOPS503.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)246.9 TOPS1,007.6 TOPS
InterconnectPCIe 5.0PCIe 5.0
Tensor Cores192752
FP32 Performance30.9 TFLOPS126 TFLOPS
Memory Bandwidth672 GB/s1,792 GB/s
FP4 (with sparsity)987.8 TFLOPS4,030.4 TFLOPS
FP8 (with sparsity)246.9 TFLOPS2,015.2 TFLOPS
FP16 (with sparsity)123.5 TFLOPS1,007.6 TFLOPS
INT8 (with sparsity)493.9 TOPS2,015.2 TOPS

Performance Analysis

The RTX 5070 achieves 61.7 TFLOPS dense FP16 and 30.9 TFLOPS FP32. The RTX PRO 6000 achieves 503.8 TFLOPS dense FP16 and 126 TFLOPS FP32. The larger dense FP16 to FP32 ratio on the RTX PRO 6000 supports faster training iterations and larger inference batches than the ratio on the RTX 5070. Memory bandwidth of 1792 GB/s on the RTX PRO 6000 permits larger batch sizes than the 672 GB/s bandwidth on the RTX 5070. The RTX PRO 6000 also records 1007.6 TFLOPS sparse FP16 compared with 123.5 TFLOPS sparse FP16 on the RTX 5070.

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 5070

RTX 5070 is not offered on-demand by any provider we track right now. See the RTX 5070 rental page for last-seen listed prices and a price alert.

RTX PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.69—Deploy
Vast.aiCzechia, CZ1$1.52—Deploy
Massed Computeus-central-91$2.19—Deploy
VERDAFIN-HEL4$2.30$9.21Deploy
QuantaCloudus-midwest-41$2.39—Deploy

5 providers in stock, 13 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

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When to Choose the RTX 5070

Choose the RTX 5070 for prototyping, small model inference and image generation where everything fits in 12 to 16 GB. It shares the Blackwell tensor formats with the RTX PRO 6000, listing 123.5 TFLOPS dense FP8 and 493.9 TFLOPS dense FP4, so code you write here moves to the larger card without changes. It is the wrong choice the moment a model, a KV cache or a training batch exceeds 16 GB, since the RTX 5070 has no way to add memory.

When to Choose the RTX PRO 6000

The RTX PRO 6000 suits workloads that require 96 GB VRAM capacity and 1792 GB/s bandwidth. Its 503.8 TFLOPS dense FP16 and 126 TFLOPS FP32 enable larger scale training and inference than the RTX 5070 can support.

Use Cases

LLM Training
RTX PRO 6000

The RTX PRO 6000 supplies 96 GB VRAM and 503.8 TFLOPS dense FP16 that accommodate large model training.

LLM Inference
RTX PRO 6000

The RTX PRO 6000 supplies 1792 GB/s bandwidth and 503.8 TFLOPS dense FP16 that support high throughput inference.

Fine-tuning
RTX PRO 6000

The RTX PRO 6000 supplies 96 GB VRAM that holds full precision checkpoints during fine tuning runs.

Stable Diffusion
RTX 5070

The RTX 5070 at 250W TDP meets image generation needs within its 12 to 16 GB VRAM limit.

Scientific Computing
RTX PRO 6000

The RTX PRO 6000 supplies 126 TFLOPS FP32 that accelerate numerical simulations.

Frequently Asked Questions

What is the memory bandwidth difference?▾

The RTX 5070 provides 672 GB/s. The RTX PRO 6000 provides 1792 GB/s.

Which GPU has higher dense FP16 performance?▾

The RTX PRO 6000 reaches 503.8 TFLOPS dense FP16. The RTX 5070 reaches 61.7 TFLOPS dense FP16.

What are the TDP ratings?▾

The RTX 5070 has a 250W TDP. The RTX PRO 6000 has a 600W TDP.

Do both GPUs use PCIe 5.0?▾

Both the RTX 5070 and the RTX PRO 6000 use PCIe 5.0 interconnect.

How does FP32 performance compare?▾

The RTX 5070 delivers 30.9 TFLOPS FP32. The RTX PRO 6000 delivers 126 TFLOPS FP32.

Which is cheaper to rent, the RTX 5070 or the RTX PRO 6000?▾

Cloud rental prices for both the RTX 5070 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 5070 have compared to the RTX PRO 6000?▾

The RTX 5070 has 12 to 16 GB of GDDR7 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find RTX 5070 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 5070 and the RTX PRO 6000?▾

The RTX 5070 uses the Blackwell architecture (2025) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 8.2x the dense FP16 throughput (503.8 vs 61.7 TFLOPS, both without sparsity) and 2.7x the memory bandwidth of the RTX 5070.

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 5070 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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