GPU comparison

A100 vs RTX 5090

Specifications and current cloud pricing, side by side.

AmperevsBlackwellUpdated 17 days ago

The A100 wins for the most common use case of LLM training because its 80 GB memory capacity and 2039 GB/s bandwidth exceed the RTX 5090 limits while its dense FP16 at 312 TFLOPS supports larger batches than the 209.5 TFLOPS dense FP16 on the RTX 5090.

A100 from $0.67/GPU/hrRTX 5090 from $0.53/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 5090 at $0.53/hr on Vast.ai

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  • Most providers in stock: A100 (12)

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  • Best $ per TFLOPS FP16 dense right now: A100 ($0.0021 per TFLOPS-hour at 312 TFLOPS)

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Specifications Compared

SpecA100RTX 5090
TDP400W575W
VRAM40-80 GB32 GB
CUDA Cores6,91221,760
FP4 (dense)Not published1,676 TFLOPS
FP8 (dense)Not published419 TFLOPS
Memory TypeHBM2eGDDR7
ArchitectureAmpereBlackwell
FP16 (dense)312 TFLOPS209.5 TFLOPS
Form FactorsSXM4, PCIePCIe
INT8 (dense)624 TOPS838 TOPS
InterconnectNVLink, PCIe 4.0, InfiniBandPCIe 5.0
Tensor Cores432680
FP32 Performance19.5 TFLOPS104.8 TFLOPS
FP64 Performance9.7 TFLOPS1.6 TFLOPS
Memory Bandwidth2,039 GB/s1,792 GB/s
FP4 (with sparsity)Not published3,352 TFLOPS
FP8 (with sparsity)Not published838 TFLOPS
FP16 (with sparsity)624 TFLOPS419 TFLOPS
INT8 (with sparsity)1,248 TOPS1,676 TOPS

Performance Analysis

The FP16 dense figure of 312 TFLOPS on the A100 exceeds the 209.5 TFLOPS dense FP16 on the RTX 5090 by a ratio of 1.49 to 1. This gap affects training speed for models that rely on dense FP16 operations while the A100 FP32 at 19.5 TFLOPS trails the RTX 5090 FP32 at 104.8 TFLOPS by a ratio of 5.37 to 1. Inference workloads that use dense FP16 therefore favor the A100 whereas FP32 heavy scientific tasks align with the RTX 5090. Memory bandwidth of 2039 GB/s on the A100 versus 1792 GB/s on the RTX 5090 permits larger batch sizes in memory bound scenarios. The A100 TDP of 400W remains lower than the 575W TDP of the RTX 5090 which influences sustained operation under load.

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.

A100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiSlovenia, SI1$0.67—Deploy
LeaderGPUThe Netherlands8$0.68$5.42Deploy
ThunderComputeUSA1$1.09—Deploy
HyperstackCANADA-11$1.35—Deploy
Massed Computeus-central-32$1.35$2.70Deploy

12 providers in stock, 34 offers (cheapest per provider shown). All A100 offers, price history and alerts

RTX 5090

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiSouth Korea, KR1$0.53—Deploy
LeaderGPUThe Netherlands1$2.29—Deploy

2 providers in stock, 11 offers (cheapest per provider shown). All RTX 5090 offers, price history and alerts

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When to Choose the A100

The A100 suits scenarios that require up to 80 GB HBM2e memory and 2039 GB/s bandwidth for large scale model handling. Its dense FP16 performance of 312 TFLOPS and support for NVLink interconnect provide advantages in distributed training setups that exceed the 32 GB limit of the RTX 5090.

When to Choose the RTX 5090

Its FP8 dense figure of 419 TFLOPS enables newer precision formats unavailable on the A100 for inference tasks that fit within 32 GB GDDR7.

Use Cases

LLM Training
A100

The A100 supplies up to 80 GB HBM2e and 2039 GB/s bandwidth that accommodate larger models than the 32 GB on the RTX 5090.

LLM Inference
A100

Dense FP16 at 312 TFLOPS on the A100 surpasses the 209.5 TFLOPS dense FP16 on the RTX 5090 for throughput in supported precision.

Fine-tuning
A100

The A100 INT8 dense at 624 TOPS and higher memory bandwidth enable efficient updates compared to the RTX 5090 at 838 TOPS INT8 dense with lower bandwidth.

Stable Diffusion
RTX 5090

The RTX 5090 FP32 at 104.8 TFLOPS exceeds the A100 at 19.5 TFLOPS for generation tasks that fit in 32 GB.

Scientific Computing
RTX 5090

The RTX 5090 delivers 104.8 TFLOPS FP32 which is 5.37 times the 19.5 TFLOPS FP32 on the A100 for precision heavy calculations.

Frequently Asked Questions

How does A100 memory compare to RTX 5090 memory?▾

The A100 offers 40 to 80 GB HBM2e while the RTX 5090 provides 32 GB GDDR7. The A100 bandwidth reaches 2039 GB/s against 1792 GB/s on the RTX 5090.

What FP16 performance separates the A100 from the RTX 5090?▾

The A100 achieves 312 TFLOPS dense FP16 and 624 TFLOPS with sparsity. The RTX 5090 reaches 209.5 TFLOPS dense FP16 and 419 TFLOPS with sparsity.

Which GPU has higher FP32 performance?▾

The RTX 5090 reaches 104.8 TFLOPS FP32 while the A100 reaches 19.5 TFLOPS FP32.

How do TDP values differ between the A100 and RTX 5090?▾

The A100 TDP is 400W and the RTX 5090 TDP is 575W.

Does the A100 support NVLink?▾

The A100 supports NVLink interconnect along with PCIe 4.0 and InfiniBand. The RTX 5090 uses PCIe 5.0 without NVLink.

Which is cheaper to rent, the A100 or the RTX 5090?▾

Cloud rental prices for both the A100 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 A100 have compared to the RTX 5090?▾

The A100 has 40 to 80 GB of HBM2e memory. The RTX 5090 has 32 GB of GDDR7 memory.

Can I find A100 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 A100 and the RTX 5090?▾

The A100 uses the Ampere architecture (2020) while the RTX 5090 uses Blackwell (2025). The A100 delivers 1.5x the dense FP16 throughput (312 vs 209.5 TFLOPS, both without sparsity) and 1.1x the memory bandwidth of the RTX 5090.

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 A100 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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