GPU comparison

L40S vs RTX 5000 Ada

Specifications and current cloud pricing, side by side.

Ada LovelacevsAda LovelaceUpdated 33 days ago

The L40S wins for the most common large model training use case because it supplies 48 GB memory, 864 GB/s bandwidth, and 91.6 TFLOPS FP32 against the RTX 5000 Ada Generation specifications.

L40S listed from $0.80/GPU/hrRTX 5000 Ada listed from $0.55/GPU/hr

Right now, from live stock

Specifications Compared

SpecL40SRTX 5000 Ada
TDP350W250W
VRAM48 GB32 GB
CUDA Cores18,17612,800
FP8 (dense)733 TFLOPSNot published
Memory TypeGDDR6GDDR6
ArchitectureAda LovelaceAda Lovelace
FP16 (dense)362.05 TFLOPSNot published
Form FactorsPCIePCIe
INT8 (dense)733 TOPSNot published
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores568400
FP32 Performance91.6 TFLOPS65.3 TFLOPS
FP64 Performance1.4 TFLOPSNot published
Memory Bandwidth864 GB/s576 GB/s
FP8 (with sparsity)1,466 TFLOPS1,044.4 TFLOPS
FP16 (with sparsity)733 TFLOPSNot published
INT8 (with sparsity)1,466 TOPSNot published

Performance Analysis

FP32 throughput measures 91.6 TFLOPS on the L40S against 65.3 TFLOPS on the RTX 5000 Ada Generation. FP8 performance with sparsity reaches 1,466 TFLOPS on the L40S against 1,044.4 TFLOPS on the RTX 5000 Ada Generation. The L40S also lists FP16 dense at 362.05 TFLOPS and FP16 with sparsity at 733 TFLOPS while the RTX 5000 Ada Generation leaves FP16 unpublished. Higher memory bandwidth of 864 GB/s on the L40S versus 576 GB/s on the RTX 5000 Ada Generation supports larger batch sizes during training and inference workloads.

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
Vast.aiSlovenia, SI1$0.80—Deploy
Massed Computeus-central-34$0.97$3.88Deploy
RunPodglobal1$1.09—Deploy
QuantaCloudus-midwest-24$1.09$4.36Deploy
Orilille-41$1.55—Deploy

6 providers in stock, 20 offers (cheapest per provider shown). All L40S offers, price history and alerts

RTX 5000 Ada

RTX 5000 Ada is not offered on-demand by any provider we track right now. See the RTX 5000 Ada rental page for last-seen listed prices and a price alert.

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When to Choose the L40S

The L40S suits workloads that require 48 GB of memory and 864 GB/s bandwidth. FP32 performance of 91.6 TFLOPS and FP8 with sparsity at 1,466 TFLOPS favor the L40S for large model training sessions.

When to Choose the RTX 5000 Ada

The RTX 5000 Ada Generation suits power constrained environments with its 250 W TDP. FP32 performance of 65.3 TFLOPS combined with 32 GB memory fits medium scale inference tasks.

Use Cases

LLM Training
L40S

The L40S supplies 48 GB memory and 864 GB/s bandwidth that exceed the RTX 5000 Ada Generation values.

LLM Inference
L40S

FP8 with sparsity at 1,466 TFLOPS on the L40S exceeds 1,044.4 TFLOPS on the RTX 5000 Ada Generation.

Fine-tuning
L40S

Higher FP32 at 91.6 TFLOPS and larger memory capacity on the L40S support fine tuning of bigger models.

Stable Diffusion
Either

Both cards share the same architecture and PCIe interconnect while memory differences remain secondary for this task.

Scientific Computing
L40S

The L40S delivers 91.6 TFLOPS FP32 and 350 W TDP that align with compute intensive scientific workloads.

Frequently Asked Questions

What memory configurations distinguish the L40S from the RTX 5000 Ada Generation?▾

The L40S provides 48 GB GDDR6 while the RTX 5000 Ada Generation provides 32 GB GDDR6. Memory bandwidth stands at 864 GB/s versus 576 GB/s.

How do FP32 figures compare between these two GPUs?▾

The L40S reaches 91.6 TFLOPS in FP32. The RTX 5000 Ada Generation reaches 65.3 TFLOPS in FP32.

Which GPU offers higher sparse tensor performance?▾

The L40S lists FP8 with sparsity at 1,466 TFLOPS. The RTX 5000 Ada Generation lists FP8 with sparsity at 1,044.4 TFLOPS.

Do both GPUs use the same interconnect?▾

Both the L40S and the RTX 5000 Ada Generation use PCIe 4.0 interconnect in PCIe form factors.

What TDP values apply to each card?▾

The L40S operates at 350 W TDP. The RTX 5000 Ada Generation operates at 250 W TDP.

Which is cheaper to rent, the L40S or the RTX 5000 Ada?▾

Cloud rental prices for both the L40S and RTX 5000 Ada 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 RTX 5000 Ada?▾

The L40S has 48 GB of GDDR6 memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.

Can I find L40S and RTX 5000 Ada 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 RTX 5000 Ada?▾

The L40S uses the Ada Lovelace architecture (2023) while the RTX 5000 Ada uses Ada Lovelace (2023). The L40S has 48 GB of GDDR6 at 864 GB/s; the RTX 5000 Ada has 32 GB of GDDR6 at 576 GB/s, so the L40S has 1.5x the memory bandwidth of the RTX 5000 Ada.

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 RTX 5000 Ada. 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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