GPU comparison

L4 vs V100

Specifications and current cloud pricing, side by side.

Ada LovelacevsVoltaUpdated 33 days ago

The L4 wins for the most common inference use case because its dense FP16 rating of 121 TFLOPS nearly matches the V100 while its 72W TDP and 24 GB memory deliver better efficiency for single GPU deployments.

L4 from $0.59/GPU/hrV100 from $0.23/GPU/hr

Right now, from live stock

  • Cheapest right now: V100 at $0.23/hr on VERDA

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  • Most providers in stock: V100 (3)

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  • Best $ per TFLOPS FP16 dense right now: V100 ($0.0018 per TFLOPS-hour at 125 TFLOPS)

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Specifications Compared

SpecL4V100
TDP72W300W
VRAM24 GB16-32 GB
CUDA Cores7,4245,120
FP8 (dense)242 TFLOPSNot published
Memory TypeGDDR6HBM2
ArchitectureAda LovelaceVolta
FP16 (dense)121 TFLOPS125 TFLOPS
Form FactorsPCIeSXM2, PCIe
INT8 (dense)242 TOPSNot published
InterconnectPCIe 4.0NVLink, PCIe 3.0
Tensor Cores232640
FP32 Performance30.3 TFLOPS15.7 TFLOPS
FP64 Performance0.5 TFLOPS7.8 TFLOPS
Memory Bandwidth300 GB/s900 GB/s
FP8 (with sparsity)485 TFLOPSNot published
FP16 (with sparsity)242 TFLOPSNot published
INT8 (with sparsity)485 TOPSNot published

Performance Analysis

Dense FP16 performance measures 121 TFLOPS on the L4 against 125 TFLOPS on the V100 so the two GPUs deliver nearly identical throughput in dense FP16 workloads. The FP32 rating of 30.3 TFLOPS on the L4 exceeds the 15.7 TFLOPS rating on the V100 by a ratio of nearly two to one which favors the L4 when full precision calculations dominate training steps. Memory bandwidth of 300 GB/s on the L4 versus 900 GB/s on the V100 limits batch sizes on the L4 during large model inference because data movement becomes the bottleneck sooner than on the V100.

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.

L4

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.59—Deploy

1 provider in stock, 1 offer. All L4 offers, price history and alerts

V100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
VERDAFIN-HEL4$0.23$0.90Deploy
Orilille-31$0.83—Deploy
Paperspaceca11$2.30—Deploy

3 providers in stock, 73 offers (cheapest per provider shown). All V100 offers, price history and alerts

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When to Choose the L4

The L4 suits inference tasks that require low power draw because its 72W TDP allows denser server packing than the 300W TDP of the V100. Dense FP8 performance of 242 TFLOPS on the L4 further supports quantized inference pipelines where the V100 lacks published FP8 figures.

When to Choose the V100

Its NVLink interconnect also enables multi GPU scaling that the PCIe 4.0 link on the L4 does not match.

Use Cases

LLM Training
V100

The V100 supplies 900 GB/s bandwidth that supports larger batches than the 300 GB/s bandwidth of the L4 during training runs.

LLM Inference
L4

The L4 provides dense FP16 performance of 121 TFLOPS at a 72W TDP that fits power constrained inference servers.

Fine-tuning
Either

Dense FP16 ratings of 121 TFLOPS on the L4 and 125 TFLOPS on the V100 remain close enough for fine tuning tasks.

Stable Diffusion
L4

The L4 lists dense FP8 performance of 242 TFLOPS that accelerates quantized diffusion workloads where the V100 has no published FP8 rating.

Scientific Computing
V100

The V100 FP32 rating of 15.7 TFLOPS combined with 900 GB/s bandwidth handles memory intensive scientific simulations better than the L4.

Frequently Asked Questions

How does FP16 performance compare between L4 and V100?▾

Dense FP16 performance reaches 121 TFLOPS on the L4 and 125 TFLOPS on the V100 so the figures sit within four TFLOPS of each other.

What memory bandwidth does each GPU provide?▾

The L4 provides 300 GB/s bandwidth while the V100 provides 900 GB/s bandwidth which affects maximum batch sizes during model execution.

Which GPU uses less power?▾

The L4 operates at a 72W TDP compared with the 300W TDP of the V100 so the L4 draws less than one quarter of the power.

Can the L4 run FP8 workloads?▾

The L4 lists dense FP8 performance of 242 TFLOPS and sparse FP8 performance of 485 TFLOPS while the V100 has no published FP8 rating.

Does the V100 support NVLink?▾

The V100 supports NVLink interconnect in addition to PCIe 3.0 while the L4 uses only PCIe 4.0.

Which is cheaper to rent, the L4 or the V100?▾

Cloud rental prices for both the L4 and V100 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 L4 have compared to the V100?▾

The L4 has 24 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.

Can I find L4 and V100 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 L4 and the V100?▾

The L4 uses the Ada Lovelace architecture (2023) while the V100 uses Volta (2017). Both deliver the same dense FP16 throughput (125 TFLOPS without sparsity), and the V100 has 3.0x the memory bandwidth of the L4.

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 L4 and the V100. 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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