GPU comparison

A10 vs H200

Specifications and current cloud pricing, side by side.

AmperevsHopperUpdated 34 days ago

The H200 wins for the most common use case of LLM inference and training. Its 989 TFLOPS dense FP16 rating and 141 GB memory exceed the A10 specifications by wide margins while delivering higher throughput per watt in sustained dense workloads.

A10 from $0.37/GPU/hrH200 from $3.79/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: H200 (5)

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  • Best $ per TFLOPS FP16 dense right now: A10 ($0.0030 per TFLOPS-hour at 125 TFLOPS)

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Specifications Compared

SpecA10H200
TDP150W700W
VRAM24 GB141 GB
CUDA Cores9,21616,896
FP8 (dense)Not published1,979 TFLOPS
Memory TypeGDDR6HBM3e
ArchitectureAmpereHopper
FP16 (dense)125 TFLOPS989 TFLOPS
Form FactorsPCIeSXM, 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/s4,800 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 H200 while sparse FP16 performance measures 250 TFLOPS against 1979 TFLOPS. The FP16 to FP32 ratio equals four on the A10 and nearly fifteen on the H200 indicating greater acceleration for mixed precision training and inference on the H200. Memory bandwidth of 4800 GB/s versus 600 GB/s permits substantially larger batch sizes during LLM inference and fine tuning before memory capacity limits are reached. Dense INT8 throughput of 250 TOPS on the A10 versus 1979 TOPS on the H200 further widens the gap for quantized inference workloads.

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-east-11$1.29—Deploy

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

H200

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$3.79—Deploy
Vast.aiCzechia, CZ1$4.76—Deploy
VERDAFIN-HEL8$5.66$45.26Deploy
LyceumEurope8$6.19$49.52Deploy
LeaderGPUThe Netherlands1$6.22—Deploy

5 providers in stock, 6 offers (cheapest per provider shown). All H200 offers, price history and alerts

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When to Choose the A10

The A10 suits deployments where power draw must remain at 150W and PCIe form factor compatibility is required. Its 24 GB GDDR6 memory and 31.2 TFLOPS FP32 rating suffice for smaller scientific computing jobs or edge inference that cannot accommodate the 700W TDP of the H200.

When to Choose the H200

The H200 fits large scale LLM training and inference because its 141 GB HBM3e memory and 4800 GB/s bandwidth support batch sizes unattainable on the A10. Dense FP16 throughput of 989 TFLOPS combined with NVLink interconnect enables faster iteration on models that exceed 24 GB capacity.

Use Cases

LLM Training
H200

The H200 supplies 989 TFLOPS dense FP16 and 141 GB memory enabling larger models than the A10 125 TFLOPS and 24 GB limit.

LLM Inference
H200

Dense FP16 at 989 TFLOPS and 4800 GB/s bandwidth on the H200 allow bigger batch sizes than the A10 125 TFLOPS and 600 GB/s.

Fine-tuning
H200

The H200 1979 TFLOPS sparse FP16 and 141 GB capacity accelerate fine tuning beyond A10 250 TFLOPS sparse FP16 and 24 GB.

Stable Diffusion
H200

Higher dense FP16 of 989 TFLOPS and memory bandwidth of 4800 GB/s on the H200 improve generation throughput over the A10.

Scientific Computing
H200

FP32 performance of 67 TFLOPS on the H200 exceeds the A10 31.2 TFLOPS while still offering greater memory headroom.

Frequently Asked Questions

What is the memory difference between A10 and H200?▾

The A10 contains 24 GB GDDR6 while the H200 contains 141 GB HBM3e. This difference directly limits maximum model size and batch size on the A10.

How does FP16 performance compare between the two GPUs?▾

Dense FP16 reaches 125 TFLOPS on the A10 and 989 TFLOPS on the H200. Sparse FP16 reaches 250 TFLOPS on the A10 and 1979 TFLOPS on the H200.

Which GPU has higher memory bandwidth?▾

The H200 provides 4800 GB/s while the A10 provides 600 GB/s. The higher figure supports larger batches during training and inference.

What are the TDP values for A10 and H200?▾

The A10 TDP is 150W and the H200 TDP is 700W. Lower power on the A10 suits constrained deployments.

Does the H200 support NVLink?▾

Yes the H200 supports NVLink interconnect in addition to PCIe 5.0 and InfiniBand. The A10 uses only PCIe 4.0.

Which is cheaper to rent, the A10 or the H200?▾

Cloud rental prices for both the A10 and H200 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 H200?▾

The A10 has 24 GB of GDDR6 memory. The H200 has 141 GB of HBM3e memory.

Can I find A10 and H200 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 H200?▾

The A10 uses the Ampere architecture (2021) while the H200 uses Hopper (2024). The H200 delivers 7.9x the dense FP16 throughput (989 vs 125 TFLOPS, both without sparsity) and 8.0x 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.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A10 and the H200. 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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