GPU comparison

L40S vs Quadro RTX 4000

Specifications and current cloud pricing, side by side.

Ada LovelacevsTuringUpdated 34 days ago

The L40S wins for the most common use case of LLM inference because its 48 GB memory and 362.05 TFLOPS dense FP16 exceed the Quadro RTX 4000 8 GB memory and 57 TFLOPS dense FP16 by substantial margins while maintaining compatibility with modern interconnects.

L40S from $0.97/GPU/hrQuadro RTX 4000 from $0.56/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro RTX 4000 at $0.56/hr on Paperspace

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  • Most providers in stock: L40S (4)

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

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Specifications Compared

SpecL40SQuadro RTX 4000
TDP350W125W
VRAM48 GB8 GB
CUDA Cores18,1762,304
FP8 (dense)733 TFLOPSNot published
Memory TypeGDDR6GDDR6
ArchitectureAda LovelaceTuring
FP16 (dense)362.05 TFLOPS57 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)733 TOPSNot published
InterconnectPCIe 4.0PCIe 3.0
Tensor Cores568288
FP32 Performance91.6 TFLOPS7.1 TFLOPS
FP64 Performance1.4 TFLOPSNot published
Memory Bandwidth864 GB/s416 GB/s
FP8 (with sparsity)1,466 TFLOPSNot published
FP16 (with sparsity)733 TFLOPSNot published
INT8 (with sparsity)1,466 TOPSNot published

Performance Analysis

Dense FP16 performance reaches 362.05 TFLOPS on the L40S compared with 57 TFLOPS dense FP16 on the Quadro RTX 4000 which produces a ratio of 362.05 to 57. The FP32 figure of 91.6 TFLOPS on the L40S versus 7.1 TFLOPS on the Quadro RTX 4000 indicates greater headroom for mixed precision workloads during training and inference. Memory bandwidth of 864 GB/s versus 416 GB/s allows larger batch sizes on the L40S before memory capacity of 48 GB becomes limiting relative to 8 GB. Sparse FP16 performance of 733 TFLOPS on the L40S has no direct counterpart on the Quadro RTX 4000 so only dense to dense comparisons apply.

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.

L40S

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Massed Computeus-central-31$0.97—Deploy
QuantaCloudus-midwest-18$1.09$8.72Deploy
Orilille-41$1.55—Deploy
LyceumEurope2$1.99$3.98Deploy

4 providers in stock, 15 offers (cheapest per provider shown). All L40S offers, price history and alerts

Quadro RTX 4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceams11$0.56—Deploy

1 provider in stock, 5 offers (cheapest per provider shown). All Quadro RTX 4000 offers, price history and alerts

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When to Choose the L40S

The L40S suits workloads that require 48 GB VRAM and dense FP16 throughput of 362.05 TFLOPS such as large model training or inference where the 864 GB/s bandwidth supports sustained data movement. Its 350 W TDP and PCIe 4.0 interconnect fit environments that prioritize raw compute capacity over power draw.

When to Choose the Quadro RTX 4000

The Quadro RTX 4000 fits scenarios limited to 125 W TDP and 8 GB VRAM where the 57 TFLOPS dense FP16 and 7.1 TFLOPS FP32 suffice for lighter inference or legacy applications that do not exceed PCIe 3.0 bandwidth.

Use Cases

LLM Training
L40S

The L40S supplies 48 GB VRAM and 362.05 TFLOPS dense FP16 which exceed the Quadro RTX 4000 limits for model scale.

LLM Inference
L40S

Dense FP16 at 362.05 TFLOPS and 864 GB/s bandwidth on the L40S enable larger batch processing than the 57 TFLOPS and 416 GB/s on the Quadro RTX 4000.

Fine-tuning
L40S

The L40S 91.6 TFLOPS FP32 and 48 GB memory support fine-tuning steps that the Quadro RTX 4000 7.1 TFLOPS FP32 and 8 GB memory cannot accommodate at equivalent scale.

Stable Diffusion
L40S

Memory capacity of 48 GB and dense FP16 of 362.05 TFLOPS on the L40S allow higher resolution generation compared with 8 GB and 57 TFLOPS on the Quadro RTX 4000.

Scientific Computing
L40S

FP32 performance of 91.6 TFLOPS on the L40S surpasses 7.1 TFLOPS on the Quadro RTX 4000 for compute intensive simulations.

Frequently Asked Questions

What is the memory difference between L40S and Quadro RTX 4000?▾

The L40S contains 48 GB GDDR6 while the Quadro RTX 4000 contains 8 GB GDDR6.

How does FP16 performance compare on these GPUs?▾

Dense FP16 reaches 362.05 TFLOPS on the L40S and 57 TFLOPS on the Quadro RTX 4000.

What TDP values apply to each card?▾

The L40S lists 350 W TDP and the Quadro RTX 4000 lists 125 W TDP.

Which interconnect does each GPU use?▾

The L40S uses PCIe 4.0 and the Quadro RTX 4000 uses PCIe 3.0.

What FP32 figures are published for both?▾

FP32 performance measures 91.6 TFLOPS on the L40S and 7.1 TFLOPS on the Quadro RTX 4000.

Does the L40S support sparsity in FP16?▾

The L40S lists FP16 with sparsity at 733 TFLOPS while the Quadro RTX 4000 publishes only the dense value of 57 TFLOPS.

Which is cheaper to rent, the L40S or the Quadro RTX 4000?▾

Cloud rental prices for both the L40S and Quadro RTX 4000 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 L40S have compared to the Quadro RTX 4000?▾

The L40S has 48 GB of GDDR6 memory. The Quadro RTX 4000 has 8 GB of GDDR6 memory.

Can I find L40S and Quadro RTX 4000 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 L40S and the Quadro RTX 4000?▾

The L40S uses the Ada Lovelace architecture (2023) while the Quadro RTX 4000 uses Turing (2018). The L40S delivers 6.4x the dense FP16 throughput (362.05 vs 57 TFLOPS, both without sparsity) and 2.1x the memory bandwidth of the Quadro RTX 4000.

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 L40S and the Quadro RTX 4000. 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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