GPU comparison

L4 vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

Ada LovelacevsBlackwellUpdated 33 days ago

The RTX PRO 6000 wins for the most common use case of large scale inference and training because its 96 GB memory and 503.8 TFLOPS FP16 dense performance exceed the L4 specifications by wide margins that outweigh the higher TDP.

L4 from $0.59/GPU/hrRTX PRO 6000 from $0.69/GPU/hr

Right now, from live stock

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

    Deploy
  • Most providers in stock: RTX PRO 6000 (6)

    See all offers
  • Best $ per TFLOPS FP16 dense right now: RTX PRO 6000 ($0.0014 per TFLOPS-hour at 503.8 TFLOPS)

    Deploy

Specifications Compared

SpecL4RTX PRO 6000
TDP72W600W
VRAM24 GB96 GB
CUDA Cores7,42424,064
FP4 (dense)Not published2,015.2 TFLOPS
FP8 (dense)242 TFLOPS1,007.6 TFLOPS
Memory TypeGDDR6GDDR7
ArchitectureAda LovelaceBlackwell
FP16 (dense)121 TFLOPS503.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)242 TOPS1,007.6 TOPS
InterconnectPCIe 4.0PCIe 5.0
Tensor Cores232752
FP32 Performance30.3 TFLOPS126 TFLOPS
FP64 Performance0.5 TFLOPSNot published
Memory Bandwidth300 GB/s1,792 GB/s
FP4 (with sparsity)Not published4,030.4 TFLOPS
FP8 (with sparsity)485 TFLOPS2,015.2 TFLOPS
FP16 (with sparsity)242 TFLOPS1,007.6 TFLOPS
INT8 (with sparsity)485 TOPS2,015.2 TOPS

Performance Analysis

The FP16 dense figure of 503.8 TFLOPS on the RTX PRO 6000 exceeds the 121 TFLOPS on the L4 by more than four times and the same ratio holds for FP16 with sparsity at 1007.6 TFLOPS versus 242 TFLOPS. Such gaps translate to shorter iteration times during training and higher throughput during inference when workloads remain within the available memory. Memory bandwidth of 1792 GB/s on the RTX PRO 6000 compared with 300 GB/s on the L4 supports substantially larger batch sizes before memory stalls occur. FP32 performance follows a similar pattern at 126 TFLOPS versus 30.3 TFLOPS indicating faster single precision computations on the newer card.

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

RTX PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.69—Deploy
Vast.aiCzechia, CZ1$1.89—Deploy
Massed Computeus-central-94$2.19$8.76Deploy
QuantaCloudus-midwest-44$2.38$9.53Deploy
VERDAFIN-HEL8$2.40$19.16Deploy

6 providers in stock, 14 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

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When to Choose the L4

The L4 becomes the better choice for deployments that prioritize low power draw and modest memory footprints. Its 72W TDP and 24 GB GDDR6 memory suit edge inference tasks or fine tuning of models that fit comfortably within that capacity. The PCIe 4.0 interconnect further aligns with systems that do not require the highest bandwidth links.

When to Choose the RTX PRO 6000

The RTX PRO 6000 fits workloads that demand large memory capacity and high tensor throughput. Its 96 GB GDDR7 memory and FP8 dense performance of 1007.6 TFLOPS enable training or inference of models that exceed 24 GB while the 1792 GB/s bandwidth sustains larger batches. The PCIe 5.0 interconnect supports environments built for the latest transfer rates.

Use Cases

LLM Training
RTX PRO 6000

The RTX PRO 6000 supplies 96 GB memory and FP16 dense performance of 503.8 TFLOPS that accommodate larger models than the 24 GB limit of the L4.

LLM Inference
RTX PRO 6000

FP8 dense throughput of 1007.6 TFLOPS and 1792 GB/s bandwidth on the RTX PRO 6000 sustain higher token rates than the 242 TFLOPS and 300 GB/s on the L4.

Fine-tuning
Either

Both GPUs handle fine tuning of models under 24 GB yet the RTX PRO 6000 completes epochs faster with its 503.8 TFLOPS FP16 dense rating.

Stable Diffusion
RTX PRO 6000

The 96 GB GDDR7 memory on the RTX PRO 6000 permits higher resolution batches while the L4 remains constrained to 24 GB.

Scientific Computing
RTX PRO 6000

FP32 performance of 126 TFLOPS on the RTX PRO 6000 accelerates simulations beyond the 30.3 TFLOPS delivered by the L4.

Frequently Asked Questions

What is the memory difference between L4 and RTX PRO 6000?▾

The L4 contains 24 GB GDDR6 memory while the RTX PRO 6000 contains 96 GB GDDR7 memory. Bandwidth also differs at 300 GB/s versus 1792 GB/s.

How does FP16 performance compare on these GPUs?▾

FP16 dense performance measures 121 TFLOPS on the L4 and 503.8 TFLOPS on the RTX PRO 6000. The sparsity figures are 242 TFLOPS and 1007.6 TFLOPS respectively.

What TDP values apply to each card?▾

The L4 lists a TDP of 72W and the RTX PRO 6000 lists a TDP of 600W. Form factor remains PCIe for both.

Which GPU offers higher INT8 throughput?▾

INT8 dense throughput reaches 242 TOPS on the L4 and 1007.6 TOPS on the RTX PRO 6000. Sparsity doubles each value to 485 TOPS and 2015.2 TOPS.

Do both GPUs support the same interconnect generation?▾

The L4 uses PCIe 4.0 while the RTX PRO 6000 uses PCIe 5.0. Architecture changes from Ada Lovelace to Blackwell accompany this upgrade.

Which is cheaper to rent, the L4 or the RTX PRO 6000?▾

Cloud rental prices for both the L4 and RTX PRO 6000 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 RTX PRO 6000?▾

The L4 has 24 GB of GDDR6 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find L4 and RTX PRO 6000 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 RTX PRO 6000?▾

The L4 uses the Ada Lovelace architecture (2023) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 4.2x the dense FP16 throughput (503.8 vs 121 TFLOPS, both without sparsity) and 6.0x 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 RTX PRO 6000. 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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