GPU comparison

L4 vs RTX 5000 Ada

Specifications and current cloud pricing, side by side.

Ada LovelacevsAda LovelaceUpdated 33 days ago

The RTX 5000 Ada wins for the most common use case of general compute tasks because its 65.3 TFLOPS FP32 and 576 GB/s bandwidth exceed the L4 30.3 TFLOPS and 300 GB/s figures while providing 32 GB versus 24 GB.

L4 listed from $0.59/GPU/hrRTX 5000 Ada listed from $0.55/GPU/hr

Right now, from live stock

Specifications Compared

SpecL4RTX 5000 Ada
TDP72W250W
VRAM24 GB32 GB
CUDA Cores7,42412,800
FP8 (dense)242 TFLOPSNot published
Memory TypeGDDR6GDDR6
ArchitectureAda LovelaceAda Lovelace
FP16 (dense)121 TFLOPSNot published
Form FactorsPCIePCIe
INT8 (dense)242 TOPSNot published
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores232400
FP32 Performance30.3 TFLOPS65.3 TFLOPS
FP64 Performance0.5 TFLOPSNot published
Memory Bandwidth300 GB/s576 GB/s
FP8 (with sparsity)485 TFLOPS1,044.4 TFLOPS
FP16 (with sparsity)242 TFLOPSNot published
INT8 (with sparsity)485 TOPSNot published

Performance Analysis

Memory bandwidth of 576 GB/s on the RTX 5000 Ada compared to 300 GB/s on the L4 allows for larger batch sizes in memory intensive operations. Since FP16 figures are not published for the RTX 5000 Ada, direct comparison uses available FP8 with sparsity where the RTX 5000 Ada reaches 1,044.4 TFLOPS against the L4 dense FP8 of 242 TFLOPS and sparse FP8 of 485 TFLOPS. The L4 provides FP16 dense performance at 121 TFLOPS and FP16 with sparsity at 242 TFLOPS while the RTX 5000 Ada lacks published FP16 data. These differences mean the RTX 5000 Ada supports faster dense computations in FP32 workloads and higher bandwidth for data movement.

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 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.

Which GPU to watchWatch the price of

Notify me when L4 drops below a price

One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.59/GPU-hr.

QuantaCloud

Comparing providers? We broker across all of them.

Stop tab-switching between pricing pages. Tell us what you need, 16+ GPUs reserved or cluster capacity, and we return one quote at partner rates within 24 hours.

No waitlist24hr quote turnaroundInfiniBand fabric

Compare real-time pricing across 25+ providers

When to Choose the L4

The L4 suits deployments where power efficiency matters most because its TDP of 72W is less than one third the 250W TDP of the RTX 5000 Ada. Scenarios with limited cooling or power budgets benefit from the L4 24 GB capacity paired with its dense INT8 performance of 242 TOPS.

When to Choose the RTX 5000 Ada

The RTX 5000 Ada fits workloads that require higher FP32 throughput of 65.3 TFLOPS and memory bandwidth of 576 GB/s along with 32 GB capacity. Applications that move large datasets or need the FP8 with sparsity performance of 1,044.4 TFLOPS gain from these specifications.

Use Cases

LLM Training
RTX 5000 Ada

The RTX 5000 Ada supplies 32 GB VRAM and 65.3 TFLOPS FP32 which exceed the L4 values for training scale.

LLM Inference
L4

The L4 delivers FP8 dense performance of 242 TFLOPS and a 72W TDP that supports efficient inference at lower power.

Fine-tuning
Either

Both cards share Ada Lovelace architecture and PCIe interconnect so either handles fine-tuning with the L4 favoring power and the RTX 5000 Ada favoring bandwidth.

Stable Diffusion
RTX 5000 Ada

The RTX 5000 Ada 32 GB capacity and 576 GB/s bandwidth support larger models and batches compared to the L4 24 GB and 300 GB/s.

Scientific Computing
RTX 5000 Ada

The RTX 5000 Ada 65.3 TFLOPS FP32 provides more than double the L4 30.3 TFLOPS for scientific workloads.

Frequently Asked Questions

How do the TDP values compare?▾

The L4 TDP is 72W while the RTX 5000 Ada TDP is 250W.

What FP32 performance do they offer?▾

The L4 provides 30.3 TFLOPS FP32 and the RTX 5000 Ada provides 65.3 TFLOPS FP32.

Which GPU has higher memory bandwidth?▾

The RTX 5000 Ada has 576 GB/s memory bandwidth compared to 300 GB/s on the L4.

Do both use the same interconnect?▾

Both the L4 and the RTX 5000 Ada use PCIe 4.0 interconnect.

Which is cheaper to rent, the L4 or the RTX 5000 Ada?▾

Cloud rental prices for both the L4 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 L4 have compared to the RTX 5000 Ada?▾

The L4 has 24 GB of GDDR6 memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.

Can I find L4 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 L4 and the RTX 5000 Ada?▾

The L4 uses the Ada Lovelace architecture (2023) while the RTX 5000 Ada uses Ada Lovelace (2023). The L4 has 24 GB of GDDR6 at 300 GB/s; the RTX 5000 Ada has 32 GB of GDDR6 at 576 GB/s, so the RTX 5000 Ada has 1.9x 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 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.

Next steps