GPU comparison

H200 SXM vs L40S

Specifications and current cloud pricing, side by side.

HoppervsAda LovelaceUpdated 34 days ago

This variant comparison is part of the H200 vs L40S family comparison.

The H200 SXM variant wins for the most common use case of LLM training because its 141 GB HBM3e capacity and 4800 GB/s bandwidth exceed the L40S limits by wide margins on the same dense FP16 workload.

H200 SXM from $5.29/GPU/hrL40S from $0.97/GPU/hr

Right now, from live stock

  • Cheapest right now: L40S at $0.97/hr on Massed Compute

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  • Most providers in stock: H200 SXM and L40S (4 each)

    See all offers
  • Best $ per TFLOPS FP16 dense right now: L40S ($0.0027 per TFLOPS-hour at 362.05 TFLOPS)

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Specifications Compared

SpecH200 SXML40S
TDP700W350W
VRAM141 GB48 GB
CUDA Cores16,89618,176
FP8 (dense)1,979 TFLOPS733 TFLOPS
Memory TypeHBM3eGDDR6
ArchitectureHopperAda Lovelace
FP16 (dense)989 TFLOPS362.05 TFLOPS
Form FactorsSXMPCIe
INT8 (dense)1,979 TOPS733 TOPS
InterconnectNVLink, PCIe 5.0, InfiniBandPCIe 4.0
Tensor Cores528568
FP32 Performance67 TFLOPS91.6 TFLOPS
FP64 Performance34 TFLOPS1.4 TFLOPS
Memory Bandwidth4,800 GB/s864 GB/s
FP8 (with sparsity)3,958 TFLOPS1,466 TFLOPS
FP16 (with sparsity)1,979 TFLOPS733 TFLOPS
INT8 (with sparsity)3,958 TOPS1,466 TOPS

Performance Analysis

The FP16 dense figure reaches 989 TFLOPS on the H200 SXM family compared to 362.05 TFLOPS dense on the L40S family. This gap means the H200 SXM processes larger batches during training and inference when sparsity is unavailable. FP16 with sparsity reaches 1979 TFLOPS on the H200 SXM family versus 733 TFLOPS with sparsity on the L40S family so workloads that activate sparsity see proportional scaling. Memory bandwidth at 4800 GB/s on the H200 SXM family versus 864 GB/s on the L40S family directly limits batch sizes on the L40S during memory heavy operations. FP32 performance stands at 67 TFLOPS on the H200 SXM family against 91.6 TFLOPS on the L40S family so precision sensitive tasks without tensor cores favor the L40S in limited cases.

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.

H200 SXM

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$5.29—Deploy
VERDAFIN-HEL1$5.66—Deploy
LyceumEurope1$6.19—Deploy
LeaderGPUThe Netherlands1$6.22—Deploy

4 providers in stock, 4 offers. All H200 SXM offers, price history and alerts

L40S

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Massed Computeus-central-24$0.97$3.88Deploy
QuantaCloudus-midwest-12$1.09$2.18Deploy
Orilille-41$1.55—Deploy
LyceumEurope4$1.99$7.96Deploy

4 providers in stock, 14 offers (cheapest per provider shown). All L40S offers, price history and alerts

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When to Choose the H200 SXM

The H200 SXM variant suits LLM training runs that require 141 GB HBM3e capacity to hold full models without partitioning. Its 4800 GB/s bandwidth supports sustained throughput on large context lengths where the L40S 48 GB limit forces smaller batches or model sharding.

When to Choose the L40S

The L40S variant fits inference pipelines that stay within 48 GB GDDR6 and operate at 350W TDP for dense deployments. Its 91.6 FP32 TFLOPS value aids scientific computing tasks that rely on non tensor operations without needing NVLink connectivity.

Use Cases

LLM Training
H200 SXM

The H200 SXM 141 GB capacity holds entire large models without splitting across devices.

LLM Inference
H200 SXM

Higher dense FP16 throughput at 989 TFLOPS combined with 4800 GB/s bandwidth sustains larger batch inference.

Fine-tuning
H200 SXM

The 141 GB HBM3e memory accommodates gradient and optimizer states for models exceeding 48 GB.

Stable Diffusion
L40S

The L40S 48 GB GDDR6 suffices for standard image generation workloads at lower 350W power draw.

Scientific Computing
L40S

The L40S 91.6 FP32 TFLOPS value exceeds the H200 SXM 67 TFLOPS for non tensor workloads.

Frequently Asked Questions

What memory types distinguish the H200 SXM from the L40S?▾

The H200 SXM uses 141 GB HBM3e while the L40S uses 48 GB GDDR6. These capacities remain fixed across all variants of each family.

How does memory bandwidth differ between the two GPUs?▾

The H200 SXM family delivers 4800 GB/s bandwidth whereas the L40S family delivers 864 GB/s. Bandwidth figures apply uniformly to every variant within each family.

Which GPU offers higher dense FP16 performance?▾

The H200 SXM family reaches 989 TFLOPS dense FP16 compared to 362.05 TFLOPS dense FP16 on the L40S family. Both figures represent dense operation without sparsity.

What are the TDP values for the H200 SXM and L40S?▾

The H200 SXM family lists 700W TDP while the L40S family lists 350W TDP. These power figures apply to all variants of each respective family.

Does the H200 SXM support NVLink?▾

The H200 SXM variant includes NVLink interconnect support along with PCIe 5.0. The L40S variant supports only PCIe 4.0 without NVLink.

Which architecture powers each GPU?▾

The H200 SXM follows the Hopper architecture released in 2024. The L40S follows the Ada Lovelace architecture released in 2023.

Which is cheaper to rent, the H200 SXM or the L40S?▾

Cloud rental prices for both the H200 SXM and L40S 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 H200 SXM have compared to the L40S?▾

The H200 SXM has 141 GB of HBM3e memory. The L40S has 48 GB of GDDR6 memory.

Can I find H200 SXM and L40S 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 H200 SXM and the L40S?▾

The H200 SXM uses the Hopper architecture (2024) while the L40S uses Ada Lovelace (2023). The H200 SXM delivers 2.7x the dense FP16 throughput (989 vs 362.05 TFLOPS, both without sparsity) and 5.6x the memory bandwidth of the L40S.

Rent these GPUs

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the H200 SXM and the L40S. 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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