GPU comparison

H100 NVL vs L4

Specifications and current cloud pricing, side by side.

HoppervsAda LovelaceUpdated 32 days ago

This variant comparison is part of the H100 vs L4 family comparison.

The H100 NVL wins for the most common use case of LLM training because its 94 GB memory, 3350 GB/s bandwidth, and 989 TFLOPS FP16 dense rating handle models that exceed the 24 GB limit of the L4.

H100 NVL from $2.50/GPU/hrL4 from $0.59/GPU/hr

Right now, from live stock

  • Cheapest right now: L4 at $0.59/hr on RunPod

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  • Most providers in stock: H100 NVL (11)

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  • Best $ per TFLOPS FP16 dense right now: H100 NVL ($0.0025 per TFLOPS-hour at 989 TFLOPS)

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Specifications Compared

SpecH100 NVLL4
TDP700W72W
VRAM94 GB24 GB
CUDA Cores16,8967,424
FP8 (dense)1,979 TFLOPS242 TFLOPS
Memory TypeHBM3GDDR6
ArchitectureHopperAda Lovelace
FP16 (dense)989 TFLOPS121 TFLOPS
Form FactorsNVL (PCIe card, NVLink bridged)PCIe
INT8 (dense)1,979 TOPS242 TOPS
InterconnectNVLink bridge, PCIe 5.0PCIe 4.0
Tensor Cores528232
FP32 Performance67 TFLOPS30.3 TFLOPS
FP64 Performance34 TFLOPS0.5 TFLOPS
Memory Bandwidth3,350 GB/s300 GB/s
FP8 (with sparsity)3,958 TFLOPS485 TFLOPS
FP16 (with sparsity)1,979 TFLOPS242 TFLOPS
INT8 (with sparsity)3,958 TOPS485 TOPS

Performance Analysis

The H100 NVL delivers FP16 dense performance of 989 TFLOPS compared with the L4 FP16 dense performance of 121 TFLOPS, producing an eightfold advantage that shortens training iterations for large models. FP32 throughput stands at 67 TFLOPS for the H100 NVL against 30.3 TFLOPS for the L4, which directly affects precision-sensitive scientific simulations. Memory bandwidth of 3350 GB/s on the H100 NVL versus 300 GB/s on the L4 permits substantially larger batch sizes during both training and inference without frequent host transfers.

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.

H100 NVL

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
HyperstackCANADA-12$2.50$5.00Deploy
Vast.aiCzechia, CZ2$2.59$5.17Deploy
QuantaCloudus-midwest-24$2.59$10.36Deploy
Massed Computeus-central-32$2.73$5.46Deploy
Oridallas-28$2.90$23.20Deploy

11 providers in stock, 30 offers (cheapest per provider shown). All H100 NVL offers, price history and alerts

L4

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.59—Deploy
ScalewayWarsaw, Poland (WAW2)1$0.88—Deploy

2 providers in stock, 5 offers (cheapest per provider shown). All L4 offers, price history and alerts

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When to Choose the H100 NVL

The H100 NVL suits workloads that require the 94 GB HBM3 capacity and 3350 GB/s bandwidth to hold entire large language models in memory. Its 989 TFLOPS FP16 dense rating accelerates distributed training sessions that benefit from the NVLink bridge interconnect.

When to Choose the L4

The L4 fits inference pipelines and fine-tuning tasks where the 72 W TDP and 24 GB GDDR6 configuration keep operating costs low while still providing 121 TFLOPS FP16 dense throughput. Its PCIe 4.0 interface integrates easily into standard servers without additional bridging hardware.

Use Cases

LLM Training
H100 NVL

The H100 NVL supplies 94 GB HBM3 and 989 TFLOPS FP16 dense that accommodate full-scale model training runs.

LLM Inference
H100 NVL

Its 3350 GB/s bandwidth and 1979 TFLOPS FP8 dense rating support high-throughput serving of large models.

Fine-tuning
Either

Both GPUs handle parameter updates yet the L4 72 W TDP suits smaller clusters while the H100 NVL accelerates larger batches.

Stable Diffusion
L4

The L4 24 GB GDDR6 and 242 TFLOPS FP16 dense rating meet typical image generation memory needs at lower power.

Scientific Computing
H100 NVL

The H100 NVL 67 TFLOPS FP32 rating and 94 GB capacity accelerate double-precision workloads that exceed 24 GB.

Frequently Asked Questions

What memory configurations distinguish the H100 NVL from the L4?▾

The H100 NVL variant holds 94 GB HBM3 while the L4 variant holds 24 GB GDDR6, a difference that determines maximum model size.

How do the FP16 dense ratings compare between these GPUs?▾

The H100 NVL reaches 989 TFLOPS FP16 dense and the L4 reaches 121 TFLOPS FP16 dense, an eightfold gap that affects training speed.

Which GPU offers higher memory bandwidth?▾

The H100 NVL provides 3350 GB/s bandwidth compared with 300 GB/s on the L4, enabling larger batch sizes during inference.

What power levels do the H100 NVL and L4 require?▾

The H100 NVL operates at 700 W TDP while the L4 operates at 72 W TDP, influencing rack density and cooling design.

Do both GPUs support NVLink?▾

Only the H100 NVL includes an NVLink bridge interconnect whereas the L4 relies solely on PCIe 4.0.

Which is cheaper to rent, the H100 NVL or the L4?▾

Cloud rental prices for both the H100 NVL and L4 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 H100 NVL have compared to the L4?▾

The H100 NVL has 94 GB of HBM3 memory. The L4 has 24 GB of GDDR6 memory.

Can I find H100 NVL and L4 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 H100 NVL and the L4?▾

The H100 NVL uses the Hopper architecture (2022) while the L4 uses Ada Lovelace (2023). The H100 NVL delivers 8.2x the dense FP16 throughput (989 vs 121 TFLOPS, both without sparsity) and 11.2x the memory bandwidth of the L4.

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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 H100 NVL and the L4. 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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