GPU comparison

L4 vs Quadro RTX 4000

Specifications and current cloud pricing, side by side.

Ada LovelacevsTuringUpdated 32 days ago

The L4 provides the stronger choice for the most common inference and training scenarios because its 121 TFLOPS FP16 dense rating and 24 GB VRAM exceed the corresponding Quadro RTX 4000 specifications while its TDP remains lower at 72W.

L4 from $0.59/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: L4 (2)

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  • Best $ per TFLOPS FP16 dense right now: L4 ($0.0049 per TFLOPS-hour at 121 TFLOPS)

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Specifications Compared

SpecL4Quadro RTX 4000
TDP72W125W
VRAM24 GB8 GB
CUDA Cores7,4242,304
FP8 (dense)242 TFLOPSNot published
Memory TypeGDDR6GDDR6
ArchitectureAda LovelaceTuring
FP16 (dense)121 TFLOPS57 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)242 TOPSNot published
InterconnectPCIe 4.0PCIe 3.0
Tensor Cores232288
FP32 Performance30.3 TFLOPS7.1 TFLOPS
FP64 Performance0.5 TFLOPSNot published
Memory Bandwidth300 GB/s416 GB/s
FP8 (with sparsity)485 TFLOPSNot published
FP16 (with sparsity)242 TFLOPSNot published
INT8 (with sparsity)485 TOPSNot published

Performance Analysis

The L4 FP16 dense figure of 121 TFLOPS exceeds the Quadro RTX 4000 FP16 dense figure of 57 TFLOPS by a factor derived directly from those two numbers. This gap indicates that the L4 can process FP16 dense operations more than twice as fast as the Quadro RTX 4000 during inference or training steps that rely on dense FP16. The L4 FP32 value of 30.3 TFLOPS likewise exceeds the Quadro RTX 4000 FP32 value of 7.1 TFLOPS. Memory bandwidth stands at 300 GB/s on the L4 versus 416 GB/s on the Quadro RTX 4000 so the Quadro RTX 4000 may sustain larger batch sizes in bandwidth limited kernels even though its VRAM capacity remains lower at 8 GB. The L4 also lists FP16 with sparsity at 242 TFLOPS while the Quadro RTX 4000 lists no sparsity figure for FP16.

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
Orilille-41$0.93—Deploy

2 providers in stock, 2 offers. All L4 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 L4

The L4 suits workloads that require the listed 24 GB VRAM capacity together with the 121 TFLOPS FP16 dense rating. Its 72W TDP allows deployment in power constrained servers where the Quadro RTX 4000 125W TDP would exceed limits. The L4 PCIe 4.0 interconnect further supports higher throughput in compatible systems.

When to Choose the Quadro RTX 4000

The Quadro RTX 4000 suits workloads that benefit from its 416 GB/s memory bandwidth when operating within the 8 GB VRAM limit. Its Turing architecture may align with legacy software stacks that do not yet support Ada Lovelace features listed for the L4.

Use Cases

LLM Inference
L4

The L4 supplies 24 GB VRAM and 121 TFLOPS FP16 dense which support larger models than the Quadro RTX 4000 8 GB VRAM and 57 TFLOPS FP16 dense.

LLM Training
L4

The L4 FP32 rating of 30.3 TFLOPS exceeds the Quadro RTX 4000 FP32 rating of 7.1 TFLOPS for training steps that use FP32.

Fine-tuning
L4

The L4 24 GB VRAM capacity accommodates fine-tuning batches that exceed the Quadro RTX 4000 8 GB limit.

Stable Diffusion
L4

The L4 FP16 dense performance of 121 TFLOPS exceeds the Quadro RTX 4000 FP16 dense performance of 57 TFLOPS for image generation workloads.

Scientific Computing
Either

Both cards list FP32 figures that can be compared directly yet the Quadro RTX 4000 higher bandwidth of 416 GB/s may favor certain kernels.

Frequently Asked Questions

How does FP16 dense performance compare on these GPUs?▾

The L4 lists 121 TFLOPS FP16 dense and the Quadro RTX 4000 lists 57 TFLOPS FP16 dense.

What are the TDP values for the L4 and Quadro RTX 4000?▾

The L4 TDP is 72W and the Quadro RTX 4000 TDP is 125W.

Which GPU offers higher memory bandwidth?▾

The Quadro RTX 4000 lists 416 GB/s memory bandwidth while the L4 lists 300 GB/s memory bandwidth.

Do both GPUs support the same interconnect generation?▾

The L4 uses PCIe 4.0 and the Quadro RTX 4000 uses PCIe 3.0.

What FP32 performance do the cards list?▾

The L4 lists 30.3 TFLOPS FP32 and the Quadro RTX 4000 lists 7.1 TFLOPS FP32.

Which is cheaper to rent, the L4 or the Quadro RTX 4000?▾

Cloud rental prices for both the L4 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 L4 have compared to the Quadro RTX 4000?▾

The L4 has 24 GB of GDDR6 memory. The Quadro RTX 4000 has 8 GB of GDDR6 memory.

Can I find L4 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 L4 and the Quadro RTX 4000?▾

The L4 uses the Ada Lovelace architecture (2023) while the Quadro RTX 4000 uses Turing (2018). The L4 delivers 2.1x the dense FP16 throughput (121 vs 57 TFLOPS, both without sparsity) while the Quadro RTX 4000 has 1.4x the memory bandwidth of the L4.

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 L4 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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