GPU comparison

A10 vs H100

Specifications and current cloud pricing, side by side.

AmperevsHopperUpdated 32 days ago

The H100 wins for the most common use case of large model inference and training. Its 80-94 GB capacity, 3350 GB/s bandwidth, and 989 TFLOPS dense FP16 exceed the A10 specifications by wide margins in throughput and scale.

A10 from $0.37/GPU/hrH100 from $2.90/GPU/hr

Right now, from live stock

  • Cheapest right now: A10 at $0.37/hr on LeaderGPU

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  • Most providers in stock: H100 (6)

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  • Best $ per TFLOPS FP16 dense right now: H100 ($0.0029 per TFLOPS-hour at 989 TFLOPS)

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Specifications Compared

SpecA10H100
TDP150W700W
VRAM24 GB80-94 GB
CUDA Cores9,21616,896
FP8 (dense)Not published1,979 TFLOPS
Memory TypeGDDR6HBM3
ArchitectureAmpereHopper
FP16 (dense)125 TFLOPS989 TFLOPS
Form FactorsPCIeSXM5, PCIe, NVL
INT8 (dense)250 TOPS1,979 TOPS
InterconnectPCIe 4.0NVLink, PCIe 5.0, InfiniBand
Tensor Cores288528
FP32 Performance31.2 TFLOPS67 TFLOPS
FP64 PerformanceNot published34 TFLOPS
Memory Bandwidth600 GB/s3,350 GB/s
FP8 (with sparsity)Not published3,958 TFLOPS
FP16 (with sparsity)250 TFLOPS1,979 TFLOPS
INT8 (with sparsity)500 TOPS3,958 TOPS

Performance Analysis

Dense FP16 performance measures 125 TFLOPS on the A10 against 989 TFLOPS on the H100. The same dense FP16 comparison shows the H100 delivering roughly eight times the throughput of the A10. Sparse FP16 figures stand at 250 TFLOPS for the A10 and 1979 TFLOPS for the H100. FP32 ratios remain at 31.2 TFLOPS versus 67 TFLOPS. Memory bandwidth of 600 GB/s on the A10 versus 3350 GB/s on the H100 directly limits batch sizes in memory intensive operations. Larger 80-94 GB capacity on the H100 supports bigger models than the 24 GB on the A10. INT8 dense ratings of 250 TOPS on the A10 and 1979 TOPS on the H100 follow similar scaling patterns.

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.

A10

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands10$0.37$3.71Deploy
Lambda Labsus-west-11$1.29—Deploy

2 providers in stock, 3 offers (cheapest per provider shown). All A10 offers, price history and alerts

H100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Oridallas-24$2.90$11.60Deploy
Massed Computeus-central-31$3.11—Deploy
ScalewayParis, France (PAR2)2$3.23$6.45Deploy
RunPodglobal1$3.99—Deploy
Lambda Labsus-southeast-11$4.29—Deploy

6 providers in stock, 12 offers (cheapest per provider shown). All H100 offers, price history and alerts

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When to Choose the A10

The A10 suits environments where power limits constrain deployment to 150W TDP. Its 24 GB GDDR6 and 600 GB/s bandwidth handle moderate inference tasks that fit within those constraints. PCIe 4.0 interconnect matches systems without NVLink requirements.

When to Choose the H100

The H100 fits workloads needing 80-94 GB HBM3 and 3350 GB/s bandwidth for large batch processing. Its 989 TFLOPS dense FP16 and 1979 TFLOPS dense FP8 enable faster training iterations than the A10. NVLink and InfiniBand support multi GPU scaling beyond PCIe limits.

Use Cases

LLM Training
H100

The H100 supplies 989 TFLOPS dense FP16 and 80-94 GB HBM3 that exceed A10 limits for large model training.

LLM Inference
H100

The H100 provides 1979 TFLOPS dense FP8 and 3350 GB/s bandwidth that support higher throughput than the A10 125 TFLOPS dense FP16.

Fine-tuning
H100

The H100 67 TFLOPS FP32 and 1979 TOPS dense INT8 allow faster adaptation cycles than the A10 31.2 TFLOPS FP32.

Stable Diffusion
Either

The A10 24 GB VRAM suffices for many diffusion workloads while the H100 80-94 GB capacity handles larger batches.

Scientific Computing
H100

The H100 67 TFLOPS FP32 and 3350 GB/s bandwidth accelerate simulations beyond the A10 31.2 TFLOPS FP32.

Frequently Asked Questions

How does FP16 performance compare between A10 and H100?▾

Dense FP16 reaches 125 TFLOPS on the A10 and 989 TFLOPS on the H100. Sparse FP16 reaches 250 TFLOPS on the A10 and 1979 TFLOPS on the H100.

What TDP values apply to the A10 and H100?▾

The A10 TDP is 150W. The H100 TDP is 700W. These values determine power and cooling requirements.

What FP32 performance do the A10 and H100 deliver?▾

The A10 delivers 31.2 TFLOPS FP32. The H100 delivers 67 TFLOPS FP32.

How does memory bandwidth differ between the two GPUs?▾

The A10 provides 600 GB/s. The H100 provides 3350 GB/s. Bandwidth influences data movement rates in training and inference.

Which is cheaper to rent, the A10 or the H100?▾

Cloud rental prices for both the A10 and H100 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 A10 have compared to the H100?▾

The A10 has 24 GB of GDDR6 memory. The H100 has 80 to 94 GB of HBM3 memory.

Can I find A10 and H100 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 A10 and the H100?▾

The A10 uses the Ampere architecture (2021) while the H100 uses Hopper (2022). The H100 delivers 7.9x the dense FP16 throughput (989 vs 125 TFLOPS, both without sparsity) and 5.6x the memory bandwidth of the A10.

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 A10 and the H100. 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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