GPU comparison

A10 vs L40

Specifications and current cloud pricing, side by side.

AmperevsAda LovelaceUpdated 33 days ago

The L40 wins for the most common use case of LLM inference because it supplies 48 GB GDDR6 VRAM and 181.05 TFLOPS FP16 dense performance against the A10 figures of 24 GB and 125 TFLOPS.

A10 from $0.37/GPU/hrL40 from $0.79/GPU/hr

Right now, from live stock

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

    Deploy
  • Most providers in stock: L40 (4)

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

    Deploy

Specifications Compared

SpecA10L40
TDP150W300W
VRAM24 GB48 GB
CUDA Cores9,21618,176
FP8 (dense)Not published362 TFLOPS
Memory TypeGDDR6GDDR6
ArchitectureAmpereAda Lovelace
FP16 (dense)125 TFLOPS181.05 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)250 TOPS362 TOPS
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores288568
FP32 Performance31.2 TFLOPS90.5 TFLOPS
Memory Bandwidth600 GB/s864 GB/s
FP8 (with sparsity)Not published724 TFLOPS
FP16 (with sparsity)250 TFLOPS362.1 TFLOPS
INT8 (with sparsity)500 TOPS724 TOPS

Performance Analysis

FP16 dense performance reaches 125 TFLOPS on the A10 and 181.05 TFLOPS on the L40 so the L40 executes dense FP16 operations at a higher rate during training and inference. FP16 with sparsity performance reaches 250 TFLOPS on the A10 and 362.1 TFLOPS on the L40 so the L40 maintains the advantage when sparsity is applied. Memory bandwidth of 600 GB/s on the A10 versus 864 GB/s on the L40 determines that the L40 supports larger batch sizes in memory intensive 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-west-11$1.29—Deploy

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

L40

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
ThunderComputeUSA1$0.79—Deploy
Massed Computeus-central-31$0.86—Deploy
QuantaCloudus-midwest-24$0.94$3.75Deploy
HyperstackCANADA-11$1.00—Deploy

4 providers in stock, 15 offers (cheapest per provider shown). All L40 offers, price history and alerts

Which GPU to watchWatch the price of

Notify me when A10 drops below a price

One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.37/GPU-hr.

QuantaCloud

Comparing providers? We broker across all of them.

Stop tab-switching between pricing pages. Tell us what you need, 16+ GPUs reserved or cluster capacity, and we return one quote at partner rates within 24 hours.

No waitlist24hr quote turnaroundInfiniBand fabric

Compare real-time pricing across 25+ providers

When to Choose the A10

Scenarios limited to INT8 dense operations at 250 TOPS on the A10 avoid the need for higher power draw of 300W.

When to Choose the L40

The L40 suits workloads that require 48 GB GDDR6 VRAM and FP32 performance of 90.5 TFLOPS. Tasks that scale with FP8 dense performance of 362 TFLOPS on the L40 gain from the doubled memory capacity over the A10.

Use Cases

LLM Training
L40

The L40 provides 181.05 TFLOPS FP16 dense and 48 GB VRAM which exceed the A10 values of 125 TFLOPS and 24 GB.

LLM Inference
L40

The L40 supplies 362.1 TFLOPS FP16 with sparsity and 864 GB/s bandwidth which exceed the A10 values of 250 TFLOPS and 600 GB/s.

Fine-tuning
L40

The L40 offers 48 GB VRAM and 90.5 TFLOPS FP32 which allow larger models than the A10 24 GB and 31.2 TFLOPS.

Stable Diffusion
Either

Both GPUs handle the workload with the A10 at 250 TFLOPS INT8 with sparsity and the L40 at 724 TFLOPS INT8 with sparsity.

Scientific Computing
L40

The L40 delivers 90.5 TFLOPS FP32 which exceed the A10 value of 31.2 TFLOPS for compute heavy tasks.

Frequently Asked Questions

How does FP16 dense performance compare on A10 versus L40?▾

The A10 reaches 125 TFLOPS FP16 dense while the L40 reaches 181.05 TFLOPS FP16 dense.

What TDP values apply to the A10 and L40?▾

The A10 operates at 150W TDP and the L40 operates at 300W TDP.

Which GPU has higher memory bandwidth?▾

The L40 provides 864 GB/s memory bandwidth while the A10 provides 600 GB/s.

Do both GPUs support the same interconnect?▾

Both the A10 and L40 use PCIe 4.0 interconnect in PCIe form factor.

What INT8 dense performance do the GPUs deliver?▾

The A10 delivers 250 TOPS INT8 dense while the L40 delivers 362 TOPS INT8 dense.

Which is cheaper to rent, the A10 or the L40?▾

Cloud rental prices for both the A10 and L40 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 L40?▾

The A10 has 24 GB of GDDR6 memory. The L40 has 48 GB of GDDR6 memory.

Can I find A10 and L40 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 L40?▾

The A10 uses the Ampere architecture (2021) while the L40 uses Ada Lovelace (2023). The L40 delivers 1.4x the dense FP16 throughput (181.05 vs 125 TFLOPS, both without sparsity) and 1.4x 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.

Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A10 and the L40. 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.

Next steps