GPU comparison

A40 vs P100

Specifications and current cloud pricing, side by side.

AmperevsPascalUpdated 32 days ago

The A40 is the stronger choice for the most common use case of LLM inference. Its 48 GB memory and 149.7 TFLOPS dense FP16 exceed the P100 specifications by wide margins while supporting larger models and batch sizes.

A40 from $0.52/GPU/hrP100 from $0.09/GPU/hr

Right now, from live stock

  • Cheapest right now: P100 at $0.09/hr on Vast.ai

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  • Most providers in stock: A40 and P100 (1 each)

    See all offers
  • Best $ per TFLOPS FP16 dense right now: A40 ($0.0034 per TFLOPS-hour at 149.7 TFLOPS)

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Specifications Compared

SpecA40P100
TDP300W250W
VRAM48 GB16 GB
CUDA Cores10,7523,584
Memory TypeGDDR6HBM2
ArchitectureAmperePascal
FP16 (dense)149.7 TFLOPS18.7 TFLOPS
Form FactorsPCIeSXM2, PCIe
INT8 (dense)299.3 TOPSNot published
InterconnectNVLink, PCIe 4.0NVLink, PCIe 3.0
Tensor Cores336Not published
FP32 Performance37.4 TFLOPS9.3 TFLOPS
FP64 PerformanceNot published4.7 TFLOPS
Memory Bandwidth696 GB/s732 GB/s
FP16 (with sparsity)299.4 TFLOPSNot published
INT8 (with sparsity)598.6 TOPSNot published

Performance Analysis

The A40 delivers dense FP16 performance at 149.7 TFLOPS compared with the P100 dense FP16 performance at 18.7 TFLOPS. This eightfold increase in dense FP16 supports larger batch sizes during training and faster inference passes. The A40 also lists FP16 with sparsity at 299.4 TFLOPS while the P100 provides no sparsity figure. FP32 throughput follows a similar pattern at 37.4 TFLOPS versus 9.3 TFLOPS. Memory bandwidth of 696 GB/s on the A40 versus 732 GB/s on the P100 limits the P100 to smaller working sets despite the minor bandwidth edge. INT8 dense performance reaches 299.3 TOPS on the A40 with no corresponding figure published for the P100.

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.

A40

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands8$0.52$4.13Deploy

1 provider in stock, 1 offer. All A40 offers, price history and alerts

P100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiTexas, US1$0.09—Deploy

1 provider in stock, 1 offer. All P100 offers, price history and alerts

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When to Choose the A40

Its 37.4 TFLOPS FP32 rating further supports compute intensive tasks that exceed the 9.3 TFLOPS capability of the P100. NVLink and PCIe 4.0 interconnects complement these specifications for multi GPU scaling.

When to Choose the P100

The P100 fits scenarios where 250W TDP is required and 16 GB HBM2 memory suffices. Its 732 GB/s bandwidth can maintain throughput for memory bound kernels that do not demand the 48 GB capacity of the A40.

Use Cases

LLM Training
A40

The A40 supplies 48 GB memory and 149.7 TFLOPS dense FP16 compared with 16 GB and 18.7 TFLOPS on the P100.

LLM Inference
A40

The A40 provides 48 GB memory and 149.7 TFLOPS dense FP16 that enable larger batch sizes than the P100 16 GB and 18.7 TFLOPS.

Fine-tuning
A40

The A40 37.4 TFLOPS FP32 and 48 GB memory exceed the P100 9.3 TFLOPS FP32 and 16 GB memory for parameter updates.

Stable Diffusion
A40

The A40 48 GB memory accommodates higher resolution images than the P100 16 GB memory.

Scientific Computing
Either

The P100 732 GB/s bandwidth and 250W TDP suit certain kernels while the A40 offers higher 37.4 TFLOPS FP32.

Frequently Asked Questions

What is the memory difference between A40 and P100?▾

The A40 contains 48 GB GDDR6 while the P100 contains 16 GB HBM2.

How does FP16 performance compare on A40 versus P100?▾

The A40 reaches 149.7 TFLOPS dense FP16 and 299.4 TFLOPS with sparsity. The P100 reaches 18.7 TFLOPS dense FP16.

What are the TDP values for each GPU?▾

The A40 TDP is 300W and the P100 TDP is 250W.

Which GPU has higher FP32 throughput?▾

The A40 provides 37.4 TFLOPS FP32 while the P100 provides 9.3 TFLOPS FP32.

Do both GPUs support NVLink?▾

Both the A40 and the P100 include NVLink interconnect support.

What memory bandwidth does each card offer?▾

The A40 lists 696 GB/s and the P100 lists 732 GB/s.

Which is cheaper to rent, the A40 or the P100?▾

Cloud rental prices for both the A40 and P100 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 A40 have compared to the P100?▾

The A40 has 48 GB of GDDR6 memory. The P100 has 16 GB of HBM2 memory.

Can I find A40 and P100 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 A40 and the P100?▾

The A40 uses the Ampere architecture (2020) while the P100 uses Pascal (2016). The A40 delivers 8.0x the dense FP16 throughput (149.7 vs 18.7 TFLOPS, both without sparsity) while the P100 has 1.1x the memory bandwidth of the A40.

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 A40 and the P100. 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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