GPU comparison

L40 vs MI300X

Specifications and current cloud pricing, side by side.

Ada LovelacevsCDNA 3Updated 32 days ago

For the most common use case of LLM inference the MI300X is the stronger choice because its 192 GB memory and 1307.4 TFLOPS dense FP16 rating accommodate larger models and higher throughput than the L40 48 GB and 181.05 TFLOPS dense FP16 rating.

L40 from $0.79/GPU/hrMI300X from $2.99/GPU/hr

Right now, from live stock

  • Cheapest right now: L40 at $0.79/hr on ThunderCompute

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  • Most providers in stock: L40 (4)

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  • Best $ per TFLOPS FP16 dense right now: MI300X ($0.0023 per TFLOPS-hour at 1,307.4 TFLOPS)

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Specifications Compared

SpecL40MI300X
TDP300W750W
VRAM48 GB192 GB
CUDA Cores18,176Not published
FP8 (dense)362 TFLOPS2,614.9 TFLOPS
Memory TypeGDDR6HBM3
ArchitectureAda LovelaceCDNA 3
FP16 (dense)181.05 TFLOPS1,307.4 TFLOPS
Form FactorsPCIeOAM
INT8 (dense)362 TOPS2,614.9 TOPS
InterconnectPCIe 4.0Infinity Fabric, PCIe 5.0
Tensor Cores568Not published
FP32 Performance90.5 TFLOPS163.4 TFLOPS
FP64 PerformanceNot published81.7 TFLOPS
Memory Bandwidth864 GB/s5,300 GB/s
FP8 (with sparsity)724 TFLOPS5,229.8 TFLOPS
FP16 (with sparsity)362.1 TFLOPS2,614.9 TFLOPS
INT8 (with sparsity)724 TOPS5,229.8 TOPS

Performance Analysis

The MI300X FP16 dense performance of 1307.4 TFLOPS exceeds the L40 FP16 dense performance of 181.05 TFLOPS by a factor derived solely from those two numbers. This gap means training workloads that rely on dense FP16 operations complete more iterations per unit time on the MI300X. Inference tasks using the same dense FP16 metric benefit similarly from the higher throughput. The MI300X memory bandwidth of 5300 GB/s versus the L40 bandwidth of 864 GB/s permits larger batch sizes before memory capacity of 192 GB on the MI300X or 48 GB on the L40 becomes the limit. The MI300X FP16 with sparsity rating of 2614.9 TFLOPS compared with the L40 FP16 with sparsity rating of 362.1 TFLOPS follows the same proportional advantage when sparsity is applied consistently.

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.

L40

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
ThunderComputeUSA2$0.79$1.58Deploy
Massed Computeus-central-21$0.86—Deploy
QuantaCloudus-midwest-24$0.94$3.75Deploy
HyperstackCANADA-14$1.00$4.00Deploy

4 providers in stock, 17 offers (cheapest per provider shown). All L40 offers, price history and alerts

MI300X

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Hot AisleMichigan1$2.99—Deploy

1 provider in stock, 1 offer. All MI300X offers, price history and alerts

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When to Choose the L40

The L40 suits environments where power draw must remain at 300W and PCIe interconnect suffices. Its 48 GB GDDR6 configuration supports inference workloads that fit within that memory limit while maintaining FP32 throughput of 90.5 TFLOPS. Organizations running multiple cards under constrained cooling or power budgets select the L40 over higher TDP alternatives.

When to Choose the MI300X

The MI300X fits workloads that require 192 GB HBM3 capacity and 5300 GB/s bandwidth for large model training. Its FP16 dense rating of 1307.4 TFLOPS accelerates dense matrix operations beyond the L40 capability. Systems equipped with Infinity Fabric interconnect benefit from the MI300X OAM form factor when scaling across multiple GPUs.

Use Cases

LLM Training
MI300X

The MI300X supplies 192 GB memory and 1307.4 TFLOPS dense FP16 compared with the L40 48 GB and 181.05 TFLOPS dense FP16.

LLM Inference
MI300X

The MI300X 5300 GB/s bandwidth and 2614.9 TFLOPS dense FP8 exceed the L40 864 GB/s and 362 TFLOPS dense FP8 for larger batch processing.

Fine-tuning
MI300X

The MI300X FP32 rating of 163.4 TFLOPS and 192 GB capacity support fine-tuning steps that exceed the L40 90.5 TFLOPS and 48 GB limits.

Stable Diffusion
L40

The L40 300W TDP and 48 GB GDDR6 fit diffusion workloads that do not require the MI300X 750W or 192 GB specifications.

Scientific Computing
Either

Both GPUs deliver FP32 performance with the L40 at 90.5 TFLOPS and the MI300X at 163.4 TFLOPS depending on power and memory needs.

Frequently Asked Questions

What memory types do the L40 and MI300X use?▾

The L40 uses 48 GB GDDR6 while the MI300X uses 192 GB HBM3. These capacities determine maximum model sizes that fit without partitioning.

How do the FP16 dense ratings compare?▾

The MI300X FP16 dense rating reaches 1307.4 TFLOPS and the L40 FP16 dense rating reaches 181.05 TFLOPS. The ratio follows directly from these two published figures.

What interconnect options exist for each card?▾

The L40 supports PCIe 4.0 while the MI300X supports Infinity Fabric and PCIe 5.0. Multi GPU scaling therefore differs by fabric choice.

Which GPU has higher memory bandwidth?▾

The MI300X provides 5300 GB/s bandwidth compared with the L40 864 GB/s bandwidth. This difference affects achievable batch sizes in memory bound operations.

What are the TDP values for the L40 and MI300X?▾

The L40 TDP is 300W and the MI300X TDP is 750W. Power delivery and cooling requirements scale with these wattage numbers.

Do both GPUs list FP8 performance figures?▾

The L40 lists FP8 dense at 362 TFLOPS and the MI300X lists FP8 dense at 2614.9 TFLOPS. Direct comparison uses only the dense values from each specification block.

Which is cheaper to rent, the L40 or the MI300X?▾

Cloud rental prices for both the L40 and MI300X 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 L40 have compared to the MI300X?▾

The L40 has 48 GB of GDDR6 memory. The MI300X has 192 GB of HBM3 memory.

Can I find L40 and MI300X 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 L40 and the MI300X?▾

The L40 uses the Ada Lovelace architecture (2023) while the MI300X uses CDNA 3 (2023). The MI300X delivers 7.2x the dense FP16 throughput (1,307.4 vs 181.05 TFLOPS, both without sparsity) and 6.1x the memory bandwidth of the L40.

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 L40 and the MI300X. 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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