GPU comparison

GB300 SXM6 vs L4

Specifications and current cloud pricing, side by side.

Blackwell UltravsAda LovelaceUpdated 33 days ago

This variant comparison is part of the GB300 vs L4 family comparison.

The GB300 SXM6 variant wins for the most common use case of LLM training because its 288 GB memory and 2250 TFLOPS FP16 dense performance exceed the limits of the L4 variant by wide margins.

GB300 SXM6 listed from $7.99/GPU/hrL4 listed from $0.59/GPU/hr

Right now, from live stock

Specifications Compared

SpecGB300 SXM6L4
TDP1400W72W
VRAM288 GB24 GB
CUDA CoresNot published7,424
FP4 (dense)13,500 TFLOPSNot published
FP8 (dense)4,500 TFLOPS242 TFLOPS
Memory TypeHBM3eGDDR6
ArchitectureBlackwell UltraAda Lovelace
FP16 (dense)2,250 TFLOPS121 TFLOPS
Form FactorsSXM6PCIe
INT8 (dense)187.5 TOPS242 TOPS
InterconnectNVLink, PCIe 6.0, InfiniBandPCIe 4.0
Tensor CoresNot published232
FP32 Performance75 TFLOPS30.3 TFLOPS
FP64 Performance1.25 TFLOPS0.5 TFLOPS
Memory Bandwidth8,000 GB/s300 GB/s
FP4 (with sparsity)18,000 TFLOPSNot published
FP8 (with sparsity)9,000 TFLOPS485 TFLOPS
FP16 (with sparsity)4,500 TFLOPS242 TFLOPS
INT8 (with sparsity)375 TOPS485 TOPS

Performance Analysis

FP16 dense throughput reaches 2250 TFLOPS on the GB300 SXM6 compared with 121 TFLOPS on the L4. This gap allows the GB300 SXM6 to finish matrix multiplications in training sessions at a rate more than eighteen times higher than the L4. FP32 performance measures 75 TFLOPS on the GB300 SXM6 against 30.3 TFLOPS on the L4. Memory bandwidth of 8000 GB/s versus 300 GB/s permits the GB300 SXM6 to sustain larger batch sizes during both training and inference without stalling on data movement. FP16 with sparsity stands at 4500 TFLOPS for the GB300 SXM6 and 242 TFLOPS for the L4 while FP8 dense reaches 4500 TFLOPS on the GB300 SXM6 versus 242 TFLOPS on the L4.

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.

GB300 SXM6

GB300 SXM6 is not offered on-demand by any provider we track right now. See the GB300 SXM6 rental page for last-seen listed prices and a price alert.

L4

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.59—Deploy
ScalewayWarsaw, Poland (WAW2)2$0.89$1.77Deploy

2 providers in stock, 4 offers (cheapest per provider shown). All L4 offers, price history and alerts

Which GPU to watchWatch the price of

Notify me when GB300 SXM6 drops below a price

One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold.

QuantaCloud

Comparing B-series options? Get one quote for all of them.

Skip the per-provider sales calls. Reserved and cluster B-series configurations from 16 to 1024+ GPUs with InfiniBand fabric, 3 to 12 month terms. One quote at partner rates, 24h turnaround.

No waitlist24hr quote turnaroundInfiniBand fabric

Compare real-time pricing across 25+ providers

When to Choose the GB300 SXM6

The GB300 SXM6 variant suits large scale LLM training that requires 288 GB of memory and 8000 GB/s bandwidth. Its NVLink and InfiniBand interconnects further support multi GPU clusters that exceed the capacity of the L4 variant.

When to Choose the L4

The L4 variant fits inference tasks on compact models that stay within 24 GB of memory and operate under a 72W power envelope. Its PCIe form factor allows simple integration into standard servers without the infrastructure demands of SXM6.

Use Cases

LLM Training
GB300 SXM6

The 288 GB memory and 2250 TFLOPS FP16 dense performance support models that exceed the 24 GB capacity of the L4.

LLM Inference
GB300 SXM6

Higher memory bandwidth of 8000 GB/s enables larger batch sizes than the 300 GB/s available on the L4.

Fine-tuning
GB300 SXM6

The 4500 TFLOPS FP8 dense figure accelerates gradient updates beyond the 242 TFLOPS FP8 dense rating of the L4.

Stable Diffusion
L4

The 24 GB memory and 72W TDP suffice for standard diffusion workloads at lower power draw than the 1400W TDP of the GB300 SXM6.

Scientific Computing
GB300 SXM6

FP32 performance of 75 TFLOPS combined with 8000 GB/s bandwidth handles large scientific datasets more effectively than the L4.

Frequently Asked Questions

What memory types do the GB300 SXM6 and L4 use?▾

The GB300 SXM6 variant uses 288 GB HBM3e while the L4 variant uses 24 GB GDDR6. Memory bandwidth stands at 8000 GB/s for the GB300 SXM6 family and 300 GB/s for the L4 family.

How do FP16 dense figures compare between these GPUs?▾

FP16 dense reaches 2250 TFLOPS on the GB300 SXM6 and 121 TFLOPS on the L4. The same ratio applies when comparing FP16 with sparsity at 4500 TFLOPS versus 242 TFLOPS.

How does TDP differ between the two families?▾

TDP reaches 1400W for the GB300 SXM6 family and 72W for the L4 family. These figures apply across all variants within each family.

Which form factors are used by the compared variants?▾

The GB300 SXM6 variant uses the SXM6 form factor. The L4 variant uses the PCIe form factor.

Which is cheaper to rent, the GB300 SXM6 or the L4?▾

Cloud rental prices for both the GB300 SXM6 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 GB300 SXM6 have compared to the L4?▾

The GB300 SXM6 has 288 GB of HBM3e memory. The L4 has 24 GB of GDDR6 memory.

Can I find GB300 SXM6 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 GB300 SXM6 and the L4?▾

The GB300 SXM6 uses the Blackwell Ultra architecture (2025) while the L4 uses Ada Lovelace (2023). The GB300 SXM6 delivers 18.6x the dense FP16 throughput (2,250 vs 121 TFLOPS, both without sparsity) and 26.7x 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 GB300 SXM6 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.

Next steps