GPU comparison

RTX 4080 vs RTX 5090

Specifications and current cloud pricing, side by side.

Ada LovelacevsBlackwellUpdated 33 days ago

The RTX 5090 wins for the most common use case of large model inference because it supplies 32 GB VRAM and 209.5 TFLOPS FP16 dense compared with the 16 GB VRAM and 97.5 TFLOPS FP16 dense of the RTX 4080. The doubled memory capacity and higher bandwidth enable larger models without swapping while the performance numbers support faster iteration.

RTX 4080 listed from $0.50/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 4080RTX 5090
TDP320W575W
VRAM16 GB32 GB
CUDA Cores9,72821,760
FP4 (dense)Not published1,676 TFLOPS
FP8 (dense)194.9 TFLOPS419 TFLOPS
Memory TypeGDDR6XGDDR7
ArchitectureAda LovelaceBlackwell
FP16 (dense)97.5 TFLOPS209.5 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)389.9 TOPS838 TOPS
InterconnectPCIe 4.0PCIe 5.0
Tensor Cores304680
FP32 Performance48.7 TFLOPS104.8 TFLOPS
FP64 PerformanceNot published1.6 TFLOPS
Memory Bandwidth717 GB/s1,792 GB/s
FP4 (with sparsity)Not published3,352 TFLOPS
FP8 (with sparsity)389.8 TFLOPS838 TFLOPS
FP16 (with sparsity)195 TFLOPS419 TFLOPS
INT8 (with sparsity)779.8 TOPS1,676 TOPS

Performance Analysis

The FP16 dense rating reaches 97.5 TFLOPS on the RTX 4080 and 209.5 TFLOPS on the RTX 5090 so the RTX 5090 delivers more than double the dense FP16 throughput. The FP16 with sparsity rating reaches 195 TFLOPS on the RTX 4080 and 419 TFLOPS on the RTX 5090 so the RTX 5090 again provides more than double the sparse FP16 throughput. Memory bandwidth of 1792 GB/s on the RTX 5090 versus 717 GB/s on the RTX 4080 supports larger batch sizes during training or inference workloads that move substantial tensor data.

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 4080

RTX 4080 is not offered on-demand by any provider we track right now. See the RTX 4080 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 4080

The RTX 4080 suits workloads that fit within 16 GB VRAM and operate under a 320W TDP limit. Scenarios that prioritize lower power draw over peak throughput select the RTX 4080 because its TDP of 320W is lower than the 575W TDP of the RTX 5090. Users who already own compatible PCIe 4.0 systems may retain the RTX 4080 without immediate need for the higher FP16 dense rating of 209.5 TFLOPS found on the RTX 5090.

When to Choose the RTX 5090

The RTX 5090 suits workloads that require 32 GB VRAM or the 1792 GB/s memory bandwidth for larger batch processing. Systems prepared for PCIe 5.0 interconnect and higher power delivery favor the RTX 5090 when scaling beyond the 16 GB capacity of the RTX 4080.

Use Cases

LLM Training
RTX 5090

The RTX 5090 supplies 32 GB VRAM and 209.5 TFLOPS FP16 dense which exceed the 16 GB VRAM and 97.5 TFLOPS FP16 dense of the RTX 4080.

LLM Inference
RTX 5090

The RTX 5090 supplies 1792 GB/s bandwidth and 419 TFLOPS FP16 with sparsity which exceed the 717 GB/s bandwidth and 195 TFLOPS FP16 with sparsity of the RTX 4080.

Fine-tuning
RTX 5090

The RTX 5090 supplies 32 GB VRAM and 838 TOPS INT8 dense which exceed the 16 GB VRAM and 389.9 TOPS INT8 dense of the RTX 4080.

Stable Diffusion
Either

The RTX 4080 supplies 16 GB VRAM at 320W TDP while the RTX 5090 supplies 32 GB VRAM at 575W TDP so either GPU meets typical image generation requirements.

Scientific Computing
RTX 5090

The RTX 5090 supplies 104.8 TFLOPS FP32 which exceed the 48.7 TFLOPS FP32 of the RTX 4080.

Frequently Asked Questions

What are the FP16 dense ratings?▾

The RTX 4080 reaches 97.5 TFLOPS FP16 dense and the RTX 5090 reaches 209.5 TFLOPS FP16 dense.

What are the memory bandwidth figures?▾

The RTX 4080 reaches 717 GB/s while the RTX 5090 reaches 1792 GB/s.

What TDP values apply to each card?▾

The RTX 4080 lists a TDP of 320W while the RTX 5090 lists a TDP of 575W.

Do the GPUs share the same interconnect generation?▾

The RTX 4080 uses PCIe 4.0 while the RTX 5090 uses PCIe 5.0.

Which is cheaper to rent, the RTX 4080 or the RTX 5090?▾

Cloud rental prices for both the RTX 4080 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 4080 have compared to the RTX 5090?▾

The RTX 4080 has 16 GB of GDDR6X memory. The RTX 5090 has 32 GB of GDDR7 memory.

Can I find RTX 4080 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 4080 and the RTX 5090?▾

The RTX 4080 uses the Ada Lovelace architecture (2022) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 2.1x the dense FP16 throughput (209.5 vs 97.5 TFLOPS, both without sparsity) and 2.5x the memory bandwidth of the RTX 4080.

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 4080 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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