GPU comparison

RTX 5070 vs RTX 5090

Specifications and current cloud pricing, side by side.

BlackwellvsBlackwellUpdated 33 days ago

The RTX 5090 wins for the most common use case of LLM inference. Its 32 GB GDDR7 VRAM, 1792 GB/s bandwidth, and 209.5 TFLOPS dense FP16 exceed the RTX 5070 specifications by substantial margins that justify the increased 575W TDP.

RTX 5070 listed from $0.17/GPU/hrRTX 5090 listed from $0.76/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 5090 at $0.76/hr on Vast.ai

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  • Most providers in stock: RTX 5090 (3)

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Specifications Compared

SpecRTX 5070RTX 5090
TDP250W575W
VRAM12-16 GB32 GB
CUDA Cores6,14421,760
FP4 (dense)493.9 TFLOPS1,676 TFLOPS
FP8 (dense)123.5 TFLOPS419 TFLOPS
Memory TypeGDDR7GDDR7
ArchitectureBlackwellBlackwell
FP16 (dense)61.7 TFLOPS209.5 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)246.9 TOPS838 TOPS
InterconnectPCIe 5.0PCIe 5.0
Tensor Cores192680
FP32 Performance30.9 TFLOPS104.8 TFLOPS
FP64 PerformanceNot published1.6 TFLOPS
Memory Bandwidth672 GB/s1,792 GB/s
FP4 (with sparsity)987.8 TFLOPS3,352 TFLOPS
FP8 (with sparsity)246.9 TFLOPS838 TFLOPS
FP16 (with sparsity)123.5 TFLOPS419 TFLOPS
INT8 (with sparsity)493.9 TOPS1,676 TOPS

Performance Analysis

Dense FP16 performance reaches 209.5 TFLOPS on the RTX 5090 compared with 61.7 TFLOPS dense FP16 on the RTX 5070. This ratio indicates the RTX 5090 processes larger matrix operations in training and inference pipelines. FP32 figures follow the same pattern with 104.8 TFLOPS versus 30.9 TFLOPS. Memory bandwidth of 1792 GB/s versus 672 GB/s supports larger batch sizes during model execution on the RTX 5090. Sparse FP16 ratings of 419 TFLOPS on the RTX 5090 stand against 123.5 TFLOPS with sparsity on the RTX 5070. Equivalent dense FP8 values show 419 TFLOPS against 123.5 TFLOPS while sparse FP8 reaches 838 TFLOPS versus 246.9 TFLOPS.

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 5090

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiUnited Kingdom, GB8$0.76$6.08Deploy
RunPodglobal1$1.19—Deploy
LeaderGPUThe Netherlands1$2.29—Deploy

3 providers in stock, 15 offers (cheapest per provider shown). All RTX 5090 offers, price history and alerts

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When to Choose the RTX 5070

The RTX 5070 suits environments constrained by power limits because its TDP is 250W. Workloads that fit within 12-16 GB GDDR7 VRAM avoid the need for higher capacity. Tasks with modest FP16 dense requirements of 61.7 TFLOPS benefit from the lower 250W draw without excess capacity.

When to Choose the RTX 5090

The RTX 5090 fits scenarios that demand 32 GB GDDR7 VRAM and 1792 GB/s bandwidth for large batch processing. FP16 dense performance of 209.5 TFLOPS accelerates extended training runs compared with lower figures. Higher TDP of 575W accompanies these expanded capabilities for sustained high throughput.

Use Cases

LLM Training
RTX 5090

The RTX 5090 supplies 209.5 TFLOPS dense FP16 and 32 GB GDDR7 VRAM for larger models.

LLM Inference
RTX 5090

Memory bandwidth of 1792 GB/s and 419 TFLOPS dense FP8 enable higher throughput than 672 GB/s and 123.5 TFLOPS dense FP8.

Fine-tuning
RTX 5090

INT8 dense performance of 838 TOPS on the RTX 5090 surpasses 246.9 TOPS on the RTX 5070 for parameter updates.

Stable Diffusion
Either

Scientific Computing
RTX 5090

FP32 performance of 104.8 TFLOPS and FP4 dense of 1676 TFLOPS provide greater capacity than 30.9 TFLOPS and 493.9 TFLOPS.

Frequently Asked Questions

What FP16 dense performance do these GPUs deliver?▾

The RTX 5090 achieves 209.5 TFLOPS dense FP16. The RTX 5070 reaches 61.7 TFLOPS dense FP16. Both figures come from the Blackwell architecture specifications.

Which GPU has higher memory bandwidth?▾

The RTX 5090 lists 1792 GB/s memory bandwidth. The RTX 5070 lists 672 GB/s memory bandwidth. Bandwidth influences data movement rates during tensor operations.

How do the TDP values compare?▾

The RTX 5090 carries a 575W TDP rating. The RTX 5070 carries a 250W TDP rating. Power draw scales with the performance differences in FP32 and FP16 metrics.

What FP32 performance is specified for each model?▾

The RTX 5090 specifies 104.8 TFLOPS FP32. The RTX 5070 specifies 30.9 TFLOPS FP32. These values apply to general purpose floating point workloads.

Do both GPUs support the same interconnect?▾

Both the RTX 5090 and RTX 5070 use PCIe 5.0 interconnects. Form factors remain PCIe for each model.

Which is cheaper to rent, the RTX 5070 or the RTX 5090?▾

Cloud rental prices for both the RTX 5070 and RTX 5090 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 5090?▾

The RTX 5070 has 12 to 16 GB of GDDR7 memory. The RTX 5090 has 32 GB of GDDR7 memory.

Can I find RTX 5070 and RTX 5090 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 5090?▾

The RTX 5070 uses the Blackwell architecture (2025) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 3.4x the dense FP16 throughput (209.5 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 5090. 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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