GPU comparison

H100 vs RTX A6000

Specifications and current cloud pricing, side by side.

HoppervsAmpereUpdated 34 days ago

The H100 wins for the most common use case of LLM training because its 989 TFLOPS FP16 dense rating and 80 to 94 GB memory exceed the corresponding 154.8 TFLOPS and 48 GB ratings on the RTX A6000.

H100 from $2.50/GPU/hrRTX A6000 from $0.44/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A6000 at $0.44/hr on LeaderGPU

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  • Most providers in stock: H100 (10)

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  • Best $ per TFLOPS FP16 dense right now: H100 ($0.0025 per TFLOPS-hour at 989 TFLOPS)

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Specifications Compared

SpecH100RTX A6000
TDP700W300W
VRAM80-94 GB48 GB
CUDA Cores16,89610,752
FP8 (dense)1,979 TFLOPSNot published
Memory TypeHBM3GDDR6
ArchitectureHopperAmpere
FP16 (dense)989 TFLOPS154.8 TFLOPS
Form FactorsSXM5, PCIe, NVLPCIe
INT8 (dense)1,979 TOPS309.7 TOPS
InterconnectNVLink, PCIe 5.0, InfiniBandNVLink, PCIe 4.0
Tensor Cores528336
FP32 Performance67 TFLOPS38.7 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth3,350 GB/s768 GB/s
FP8 (with sparsity)3,958 TFLOPSNot published
FP16 (with sparsity)1,979 TFLOPS309.6 TFLOPS
INT8 (with sparsity)3,958 TOPS619.4 TOPS

Performance Analysis

The FP16 dense figure of 989 TFLOPS on the H100 exceeds the 154.8 TFLOPS dense figure on the RTX A6000 by a substantial margin while the FP16 with sparsity figure of 1979 TFLOPS on the H100 exceeds the 309.6 TFLOPS with sparsity figure on the RTX A6000. FP32 performance stands at 67 TFLOPS on the H100 against 38.7 TFLOPS on the RTX A6000. Higher memory bandwidth of 3350 GB/s on the H100 supports larger batch sizes than the 768 GB/s bandwidth on the RTX A6000 during training and inference passes. The TDP of 700 W on the H100 contrasts with the 300 W TDP on the RTX A6000 and influences sustained operation limits.

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.

H100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
HyperstackCANADA-11$2.50—Deploy
Vast.aiCzechia, CZ1$2.59—Deploy
QuantaCloudus-midwest-21$2.59—Deploy
Massed Computeus-central-31$2.73—Deploy
Oridallas-24$2.90$11.60Deploy

10 providers in stock, 27 offers (cheapest per provider shown). All H100 offers, price history and alerts

RTX A6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands8$0.44$3.54Deploy
QuantaCloudus-midwest-12$0.48$0.96Deploy
HyperstackCANADA-11$0.50—Deploy
Massed Computeus-central-28$0.55$4.40Deploy
VERDAFIN-HEL1$0.76—Deploy

6 providers in stock, 47 offers (cheapest per provider shown). All RTX A6000 offers, price history and alerts

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When to Choose the H100

The H100 suits large scale training runs that require 80 to 94 GB HBM3 capacity and 989 TFLOPS FP16 dense throughput.

When to Choose the RTX A6000

The RTX A6000 fits inference tasks that operate within 48 GB GDDR6 limits and 154.8 TFLOPS FP16 dense performance. Deployments that prioritize 300 W TDP and PCIe form factor select the RTX A6000 for constrained power environments.

Use Cases

LLM Training
H100

The H100 supplies 989 TFLOPS FP16 dense and 80 to 94 GB memory that exceed RTX A6000 specifications for large model training.

LLM Inference
H100

The H100 provides 1979 TFLOPS FP16 with sparsity and 3350 GB/s bandwidth that support higher throughput than the RTX A6000.

Fine-tuning
H100

The H100 delivers 1979 TFLOPS FP8 dense performance and higher memory capacity than the RTX A6000 for adaptation workloads.

Stable Diffusion
RTX A6000

The RTX A6000 operates at 300 W TDP with 48 GB memory that meets requirements for many image generation tasks at lower power.

Scientific Computing
H100

The H100 offers 67 TFLOPS FP32 and 3350 GB/s bandwidth that surpass RTX A6000 figures for compute intensive simulations.

Frequently Asked Questions

How does H100 memory compare to RTX A6000 memory?▾

The H100 provides 80 to 94 GB HBM3 while the RTX A6000 provides 48 GB GDDR6. Bandwidth on the H100 reaches 3350 GB/s compared with 768 GB/s on the RTX A6000.

What FP16 performance does each GPU deliver?▾

The H100 reaches 989 TFLOPS FP16 dense and 1979 TFLOPS FP16 with sparsity. The RTX A6000 reaches 154.8 TFLOPS FP16 dense and 309.6 TFLOPS FP16 with sparsity.

How do the power requirements differ?▾

The H100 lists a TDP of 700 W while the RTX A6000 lists a TDP of 300 W. Form factors include SXM5 and PCIe on the H100 versus PCIe only on the RTX A6000.

Which GPU offers higher INT8 throughput?▾

The H100 reaches 1979 TOPS INT8 dense and 3958 TOPS INT8 with sparsity. The RTX A6000 reaches 309.7 TOPS INT8 dense and 619.4 TOPS INT8 with sparsity.

What interconnect options exist on each card?▾

The H100 supports NVLink, PCIe 5.0, and InfiniBand. The RTX A6000 supports NVLink and PCIe 4.0.

Which is cheaper to rent, the H100 or the RTX A6000?▾

Cloud rental prices for both the H100 and RTX A6000 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 H100 have compared to the RTX A6000?▾

The H100 has 80 to 94 GB of HBM3 memory. The RTX A6000 has 48 GB of GDDR6 memory.

Can I find H100 and RTX A6000 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 H100 and the RTX A6000?▾

The H100 uses the Hopper architecture (2022) while the RTX A6000 uses Ampere (2020). The H100 delivers 6.4x the dense FP16 throughput (989 vs 154.8 TFLOPS, both without sparsity) and 4.4x the memory bandwidth of the RTX A6000.

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 H100 and the RTX A6000. 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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