GPU comparison

A10 vs A100

Specifications and current cloud pricing, side by side.

AmperevsAmpereUpdated 17 days ago

The A100 wins for the most common use case of LLM training and inference because its FP16 dense performance of 312 TFLOPS and memory bandwidth of 2039 GB/s exceed the A10 figures by substantial margins while supporting larger memory capacities.

A10 from $0.37/GPU/hrA100 from $0.68/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: A100 (11)

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  • Best $ per TFLOPS FP16 dense right now: A100 ($0.0022 per TFLOPS-hour at 312 TFLOPS)

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Specifications Compared

SpecA10A100
TDP150W400W
VRAM24 GB40-80 GB
CUDA Cores9,2166,912
Memory TypeGDDR6HBM2e
ArchitectureAmpereAmpere
FP16 (dense)125 TFLOPS312 TFLOPS
Form FactorsPCIeSXM4, PCIe
INT8 (dense)250 TOPS624 TOPS
InterconnectPCIe 4.0NVLink, PCIe 4.0, InfiniBand
Tensor Cores288432
FP32 Performance31.2 TFLOPS19.5 TFLOPS
FP64 PerformanceNot published9.7 TFLOPS
Memory Bandwidth600 GB/s2,039 GB/s
FP16 (with sparsity)250 TFLOPS624 TFLOPS
INT8 (with sparsity)500 TOPS1,248 TOPS

Performance Analysis

The FP16 dense figure of 125 TFLOPS on the A10 versus 312 TFLOPS on the A100 indicates the A100 processes dense FP16 operations at a higher rate for training and inference tasks. The FP16 with sparsity figure of 250 TFLOPS on the A10 versus 624 TFLOPS on the A100 shows the same pattern when sparsity is applied. Memory bandwidth of 600 GB/s on the A10 versus 2039 GB/s on the A100 limits batch sizes on the A10 during large model operations. The FP32 performance of 31.2 TFLOPS on the A10 exceeds the 19.5 TFLOPS on the A100 which favors the A10 in precision sensitive workloads. The INT8 dense rating of 250 TOPS on the A10 versus 624 TOPS on the A100 and the INT8 with sparsity rating of 500 TOPS on the A10 versus 1248 TOPS on the A100 follow the same ratio pattern across dense and sparsity modes.

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

A100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands8$0.68$5.42Deploy
ThunderComputeUSA2$1.09$2.18Deploy
Vast.aiCzechia, CZ1$1.09—Deploy
Massed Computeus-central-34$1.35$5.40Deploy
QuantaCloudus-midwest-22$1.48$2.95Deploy

11 providers in stock, 31 offers (cheapest per provider shown). All A100 offers, price history and alerts

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When to Choose the A10

The A10 suits environments where power draw must stay at 150W and PCIe connectivity is required. Its FP32 performance of 31.2 TFLOPS exceeds the A100 figure of 19.5 TFLOPS which benefits certain scientific computing tasks. The lower TDP also reduces cooling demands in dense server deployments.

When to Choose the A100

The A100 suits workloads that require 40 to 80 GB HBM2e memory and 2039 GB/s bandwidth for larger batch sizes. Its FP16 dense performance of 312 TFLOPS and FP16 with sparsity performance of 624 TFLOPS accelerate training and inference compared to the A10 equivalents. The availability of SXM4 and NVLink interconnects further supports multi GPU scaling.

Use Cases

LLM Training
A100

The A100 FP16 dense performance reaches 312 TFLOPS and its memory bandwidth reaches 2039 GB/s which support larger models.

LLM Inference
A100

The A100 INT8 dense performance reaches 624 TOPS and its VRAM capacity reaches 80 GB which enable higher throughput.

Fine-tuning
A100

The A100 FP16 with sparsity performance reaches 624 TFLOPS and its bandwidth of 2039 GB/s allow efficient adaptation of models.

Stable Diffusion
A10

The A10 FP32 performance of 31.2 TFLOPS exceeds the A100 figure and its 150W TDP fits power constrained setups.

Scientific Computing
A10

The A10 FP32 performance of 31.2 TFLOPS exceeds the A100 figure of 19.5 TFLOPS in precision focused workloads.

Frequently Asked Questions

What is the memory difference between A10 and A100?▾

The A10 provides 24 GB GDDR6 while the A100 provides 40 to 80 GB HBM2e. The A100 also delivers 2039 GB/s bandwidth compared to 600 GB/s on the A10.

How does FP16 performance compare on A10 versus A100?▾

The A10 reaches 125 TFLOPS FP16 dense and 250 TFLOPS FP16 with sparsity. The A100 reaches 312 TFLOPS FP16 dense and 624 TFLOPS FP16 with sparsity.

What TDP values apply to the A10 and A100?▾

The A10 TDP is 150W. The A100 TDP is 400W. These values affect power and cooling requirements in deployment.

Which GPU offers higher FP32 performance?▾

The A10 delivers 31.2 TFLOPS FP32. The A100 delivers 19.5 TFLOPS FP32. The A10 therefore leads in this metric.

What interconnect options exist for each GPU?▾

The A10 supports PCIe 4.0 only. The A100 supports NVLink, PCIe 4.0, and InfiniBand depending on the form factor chosen.

How do INT8 ratings differ between the two GPUs?▾

The A10 reaches 250 TOPS INT8 dense and 500 TOPS INT8 with sparsity. The A100 reaches 624 TOPS INT8 dense and 1248 TOPS INT8 with sparsity.

Which is cheaper to rent, the A10 or the A100?▾

Cloud rental prices for both the A10 and A100 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 A100?▾

The A10 has 24 GB of GDDR6 memory. The A100 has 40 to 80 GB of HBM2e memory.

Can I find A10 and A100 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 A100?▾

The A10 uses the Ampere architecture (2021) while the A100 uses Ampere (2020). The A100 delivers 2.5x the dense FP16 throughput (312 vs 125 TFLOPS, both without sparsity) and 3.4x 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 A100. 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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