GPU comparison

L40S vs RTX 2000 Ada

Specifications and current cloud pricing, side by side.

Ada LovelacevsAda LovelaceUpdated 33 days ago

The L40S wins for the most common use case of LLM inference because its 48 GB GDDR6 and 362.05 TFLOPS FP16 dense rating accommodate larger models and higher throughput than the 16 GB and 12 TFLOPS FP32 rating of the RTX 2000 Ada.

L40S listed from $0.97/GPU/hrRTX 2000 Ada listed from $0.24/GPU/hr

Right now, from live stock

  • Cheapest right now: L40S at $0.97/hr on Massed Compute

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  • Most providers in stock: L40S (4)

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Specifications Compared

SpecL40SRTX 2000 Ada
TDP350W70W
VRAM48 GB16 GB
CUDA Cores18,1762,816
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 Cores56888
FP32 Performance91.6 TFLOPS12 TFLOPS
FP64 Performance1.4 TFLOPSNot published
Memory Bandwidth864 GB/s224 GB/s
FP8 (with sparsity)1,466 TFLOPS191.9 TFLOPS
FP16 (with sparsity)733 TFLOPSNot published
INT8 (with sparsity)1,466 TOPSNot published

Performance Analysis

The L40S delivers 362.05 TFLOPS FP16 dense performance against an unpublished FP16 figure for the RTX 2000 Ada. Its FP32 rating reaches 91.6 TFLOPS compared with 12 TFLOPS on the RTX 2000 Ada. The resulting FP16 dense to FP32 ratio on the L40S equals roughly four times the FP32 throughput. Memory bandwidth of 864 GB/s on the L40S versus 224 GB/s on the RTX 2000 Ada permits larger batch sizes during inference or training steps that move substantial activation data. The L40S also lists FP8 dense at 733 TFLOPS and FP8 with sparsity at 1466 TFLOPS while the RTX 2000 Ada lists FP8 with sparsity at 191.9 TFLOPS.

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-34$0.97$3.88Deploy
QuantaCloudus-midwest-14$1.09$4.36Deploy
RunPodglobal1$1.09—Deploy
LyceumEurope1$1.99—Deploy

4 providers in stock, 17 offers (cheapest per provider shown). All L40S offers, price history and alerts

RTX 2000 Ada

RTX 2000 Ada is not offered on-demand by any provider we track right now. See the RTX 2000 Ada rental page for last-seen listed prices and a price alert.

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When to Choose the L40S

The L40S suits LLM training and fine tuning jobs that require 48 GB GDDR6 to hold large model weights and optimizer states. Its 864 GB/s bandwidth supports bigger batch sizes than the 224 GB/s available on the alternative card.

When to Choose the RTX 2000 Ada

The RTX 2000 Ada fits inference or scientific computing tasks inside edge servers where the 70 W TDP keeps total system power under strict limits. Its 16 GB GDDR6 capacity remains adequate for smaller Stable Diffusion workloads that do not exceed that memory ceiling.

Use Cases

LLM Training
L40S

The L40S supplies 48 GB GDDR6 and 362.05 TFLOPS FP16 dense to accommodate full precision training runs that exceed the 16 GB limit of the RTX 2000 Ada.

LLM Inference
L40S

The L40S provides 864 GB/s bandwidth and 733 TFLOPS FP8 dense to sustain larger batch sizes than the 224 GB/s and 191.9 TFLOPS FP8 with sparsity on the RTX 2000 Ada.

Fine-tuning
L40S

The L40S offers 48 GB GDDR6 together with 91.6 TFLOPS FP32 to manage gradient accumulation steps that surpass the 16 GB capacity of the RTX 2000 Ada.

Stable Diffusion
Either

Both cards run Stable Diffusion models that fit inside 16 GB GDDR6 yet the L40S accelerates generation with higher FP8 figures when batch sizes increase.

Scientific Computing
RTX 2000 Ada

The RTX 2000 Ada operates at 70 W TDP and 12 TFLOPS FP32 which suits continuous low power scientific workloads that do not require the 350 W TDP of the L40S.

Frequently Asked Questions

How does TDP affect deployment of each card?▾

The L40S operates at 350 W TDP whereas the RTX 2000 Ada operates at 70 W TDP. Systems with limited power budgets therefore favor the lower rating when multiple cards share a single PSU.

Which card provides higher FP32 throughput?▾

The L40S reaches 91.6 TFLOPS FP32 while the RTX 2000 Ada reaches 12 TFLOPS FP32. The ratio shows the L40S supplies more than seven times the FP32 performance.

Can the RTX 2000 Ada run FP16 workloads?▾

The vendor did not publish an FP16 rating for the RTX 2000 Ada. Users must therefore rely on the published 12 TFLOPS FP32 figure when estimating mixed precision performance.

What interconnect do both GPUs share?▾

Both the L40S and RTX 2000 Ada use PCIe 4.0 interconnects. Data movement between host and device therefore occurs at the same theoretical link speed on either card.

Which is cheaper to rent, the L40S or the RTX 2000 Ada?▾

Cloud rental prices for both the L40S and RTX 2000 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 2000 Ada?▾

The L40S has 48 GB of GDDR6 memory. The RTX 2000 Ada has 16 GB of GDDR6 memory.

Can I find L40S and RTX 2000 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 2000 Ada?▾

The L40S uses the Ada Lovelace architecture (2023) while the RTX 2000 Ada uses Ada Lovelace (2024). The L40S has 48 GB of GDDR6 at 864 GB/s; the RTX 2000 Ada has 16 GB of GDDR6 at 224 GB/s, so the L40S has 3.9x the memory bandwidth of the RTX 2000 Ada.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the L40S and the RTX 2000 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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