GPU comparison

A30 vs L4

Specifications and current cloud pricing, side by side.

AmperevsAda LovelaceUpdated 33 days ago

The L4 is the stronger choice for the most common inference workloads because its 72W TDP and FP8 ratings of 242 TFLOPS dense deliver lower power per tensor operation than the A30 while still providing 24 GB of memory.

A30 listed from $0.35/GPU/hrL4 listed from $0.59/GPU/hr

Right now, from live stock

Specifications Compared

SpecA30L4
TDP165W72W
VRAM24 GB24 GB
CUDA Cores3,5847,424
FP8 (dense)Not published242 TFLOPS
Memory TypeHBM2GDDR6
ArchitectureAmpereAda Lovelace
FP16 (dense)165 TFLOPS121 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)330 TOPS242 TOPS
InterconnectNVLink, PCIe 4.0PCIe 4.0
Tensor Cores224232
FP32 Performance10.3 TFLOPS30.3 TFLOPS
FP64 Performance5.2 TFLOPS0.5 TFLOPS
Memory Bandwidth933 GB/s300 GB/s
FP8 (with sparsity)Not published485 TFLOPS
FP16 (with sparsity)330 TFLOPS242 TFLOPS
INT8 (with sparsity)661 TOPS485 TOPS

Performance Analysis

The A30 delivers 165 TFLOPS in dense FP16 mode compared with the L4 at 121 TFLOPS in dense FP16 mode while the A30 reaches 330 TFLOPS with sparsity and the L4 reaches 242 TFLOPS with sparsity. This dense FP16 gap favors the A30 for training steps that rely on half precision matrix operations whereas the L4 FP32 rating of 30.3 TFLOPS exceeds the A30 rating of 10.3 TFLOPS and may accelerate single precision scientific kernels. Memory bandwidth of 933 GB/s on the A30 versus 300 GB/s on the L4 allows larger batch sizes during dense FP16 training before memory stalls occur. The L4 TDP of 72W versus the A30 TDP of 165W reduces power draw per dense FP16 TFLOPS when sparsity is not applied.

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.

A30

A30 is not offered on-demand by any provider we track right now. See the A30 rental page for last-seen listed prices and a price alert.

L4

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.59—Deploy

1 provider in stock, 1 offer. All L4 offers, price history and alerts

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When to Choose the A30

The A30 suits multi GPU training clusters that require NVLink interconnects and 933 GB/s memory bandwidth to sustain large batch sizes in dense FP16 workloads. Its INT8 rating of 330 TOPS dense and 661 TOPS with sparsity also supports quantized inference pipelines that exceed the L4 INT8 ratings of 242 TOPS dense and 485 TOPS with sparsity.

When to Choose the L4

The L4 suits power constrained inference deployments that benefit from its 72W TDP and FP8 support at 242 TFLOPS dense or 485 TFLOPS with sparsity. Its FP32 rating of 30.3 TFLOPS further enables scientific computing tasks where single precision throughput outweighs the need for high memory bandwidth.

Use Cases

LLM Training
A30

The A30 supplies 165 TFLOPS dense FP16 and 933 GB/s bandwidth that sustain larger batches than the L4 at 121 TFLOPS dense FP16 and 300 GB/s bandwidth.

LLM Inference
L4

The L4 provides FP8 at 242 TFLOPS dense and a 72W TDP that reduce power relative to the A30 INT8 ratings and 165W TDP.

Fine-tuning
A30

The A30 NVLink interconnect and 330 TFLOPS sparse FP16 enable efficient gradient exchange across multiple GPUs during fine tuning runs.

Stable Diffusion
L4

The L4 FP8 support at 242 TFLOPS dense and lower 72W TDP suit image generation workloads that run continuously.

Scientific Computing
L4

The L4 FP32 rating of 30.3 TFLOPS exceeds the A30 rating of 10.3 TFLOPS for single precision calculations.

Frequently Asked Questions

How does memory bandwidth differ between the A30 and L4?▾

The A30 provides 933 GB/s bandwidth while the L4 provides 300 GB/s bandwidth. This difference affects the maximum batch size sustainable during dense FP16 operations on each GPU.

Which GPU offers higher dense FP16 performance?▾

The A30 lists 165 TFLOPS in dense FP16 mode compared with 121 TFLOPS for the L4 in dense FP16 mode. The A30 also lists 330 TOPS in dense INT8 mode versus 242 TOPS for the L4.

Does the A30 support NVLink?▾

The A30 includes NVLink interconnect capability in addition to PCIe 4.0. The L4 supports only PCIe 4.0 interconnect.

What are the TDP values for the A30 and L4?▾

The A30 TDP is 165W while the L4 TDP is 72W. These values influence total system power when running dense FP16 workloads on either card.

Which GPU supports FP8 operations?▾

The L4 lists FP8 ratings of 242 TFLOPS dense and 485 TFLOPS with sparsity. The A30 does not publish FP8 figures.

How do the FP32 ratings compare?▾

The L4 lists 30.3 TFLOPS in FP32 while the A30 lists 10.3 TFLOPS in FP32. This gap favors the L4 for workloads that rely on single precision arithmetic.

Which is cheaper to rent, the A30 or the L4?▾

Cloud rental prices for both the A30 and L4 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 A30 have compared to the L4?▾

The A30 has 24 GB of HBM2 memory. The L4 has 24 GB of GDDR6 memory.

Can I find A30 and L4 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 A30 and the L4?▾

The A30 uses the Ampere architecture (2021) while the L4 uses Ada Lovelace (2023). The A30 delivers 1.4x the dense FP16 throughput (165 vs 121 TFLOPS, both without sparsity) and 3.1x the memory bandwidth of the L4.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A30 and the L4. 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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