GPU Comparison

NVIDIA B200 vs L40S

Compare NVIDIA B200 and L40S across architecture, GPU memory, bandwidth, AI inference, training, infrastructure requirements and practical workload fit.

Daya ShankarLast verified: August 11, 2026Research methodology

NVIDIA Blackwell

B200

GPU Memory

180 GB HBM3e

Bandwidth

Up to 8 TB/s

Blackwell-generation accelerator for frontier AI training, FP4/FP8 inference and large-scale AI systems.

Explore NVIDIA B200
VS

NVIDIA Ada Lovelace

L40S

GPU Memory

48 GB GDDR6 ECC

Bandwidth

864 GB/s

Ada data-center GPU for generative AI inference, graphics, rendering and media workloads.

Explore NVIDIA L40S

B200 vs L40S at a Glance

Start with workload fit, then validate the choice against the exact cloud configuration and pricing available to you.

Choose B200 when

You need more than 48 GB.

Choose L40S when

48 GB is sufficient.

Compare the full workload

Memory, bandwidth, precision, interconnects, media features, power and cloud price can all change the right answer.

NVIDIA B200 vs NVIDIA L40S Specifications

H100, H200 and A100 use SXM figures. B200 uses current NVIDIA HGX B200 specifications. L40S and L4 use their native PCIe card specifications, so each product is represented in its primary deployment form.

SpecificationNVIDIA B200NVIDIA L40S
ArchitectureNVIDIA BlackwellNVIDIA Ada Lovelace
GPU Memory180 GB HBM3e48 GB GDDR6 ECC
Memory BandwidthUp to 8 TB/s864 GB/s
FP32≈75 TFLOPS†91.6 TFLOPS
TF32 Tensor Core≈2.25 PFLOPS*†366 TFLOPS*
FP16 / BF16 Tensor Core≈4.5 PFLOPS*†733 TFLOPS*
FP8 Tensor Core≈9 PFLOPS*†1,466 TFLOPS*
FP4 Tensor Core≈18 PFLOPS sparse / 9 PFLOPS dense†Not natively supported
NVLink1.8 TB/sNot supported
MIGUp to 7 MIGs; 1g profile starts at 23 GBNot supported
Maximum PowerUp to 1,000 W in DGX B200350 W
Form FactorSXM (HGX B200)Dual-slot PCIe

* Tensor Core values marked with an asterisk are NVIDIA sparse specifications where applicable; dense performance is lower.

† B200 per-GPU compute figures are derived from NVIDIA's published 8-GPU HGX B200 totals by dividing by eight. Memory, bandwidth and NVLink figures are published per GPU.

What Is the Main Difference Between NVIDIA B200 and NVIDIA L40S?

B200 and L40S are optimized for very different deployment goals. B200 is a Blackwell SXM accelerator for large-scale AI systems. L40S is an Ada Lovelace PCIe GPU that combines Tensor Cores with RT Cores and media engines.

B200 provides 180 GB HBM3e and up to 8 TB/s bandwidth. L40S provides 48 GB GDDR6 and 864 GB/s. B200 also supports fifth-generation NVLink and MIG, while L40S supports neither.

The tradeoff is specialization versus versatility: B200 maximizes AI scale and memory throughput, while L40S is easier to deploy for inference plus graphics and media.

Memory Capacity and Bandwidth

These specifications affect model fit, KV-cache headroom, batch size and memory-bound workloads.

GPU Memory

180 GB HBM3e vs 48 GB GDDR6 ECC
B200L40S

Memory Bandwidth

Up to 8 TB/s vs 864 GB/s
B200L40S

B200 vs L40S for LLM Inference

B200 has much more memory, far higher memory bandwidth and native FP4, making it the stronger option for large or high-throughput LLM inference. L40S is a good FP8 inference choice for models that fit within 48 GB.

B200 vs L40S for AI Training

B200 is designed for frontier-scale training with Blackwell Tensor Cores and high-speed NVLink. L40S can support smaller training and fine-tuning jobs, but its 48 GB GDDR6 memory and PCIe-only topology limit the scale at which it competes.

B200 vs L40S for Graphics and Media

L40S is the better choice for RTX rendering, 3D visualization and media because it includes RT Cores and multiple NVENC/NVDEC engines. B200 is built for accelerated compute rather than interactive visualization.

Which GPU Fits Your Workload?

Use this as directional guidance. Benchmark your own model and software stack before making a large infrastructure commitment.

WorkloadB200L40SDirection
Frontier LLM inferenceBest fitGood for <=48 GBB200
FP4 inferenceBest fitNot nativeB200
Large-model trainingBest fitLimited scaleB200
HPC / scale-upBest fitNo NVLinkB200
Rendering / 3D visualizationNot primary focusBest fitL40S
Video / media AICompute capableBest fitL40S
Lower-power PCIe deploymentHigh powerBest fitL40S

Cloud Pricing

Compare Current Provider Pricing

There is no single cloud price for either GPU. Rates vary by provider, region, server configuration, billing model and commitment. Compare current provider offers after you know which hardware class fits the workload.

B200 providers

Compare B200 pricing

View B200

L40S providers

Compare L40S pricing

View L40S

Final Decision

Should You Choose NVIDIA B200 or NVIDIA L40S?

Choose NVIDIA B200 if:

  • You need more than 48 GB.
  • You need native FP4 or maximum low-precision AI throughput.
  • You are scaling across NVLink-connected GPUs.
  • Your primary workload is large-model AI rather than graphics.

Choose NVIDIA L40S if:

  • 48 GB is sufficient.
  • You need RTX rendering or visualization.
  • Media engines matter.
  • A 350 W dual-slot PCIe card is operationally preferable.

B200 vs L40S FAQs

Common questions about choosing between these NVIDIA GPUs.

Which is better, NVIDIA B200 or L40S?
Choose B200 for frontier training, large LLM inference and high-bandwidth multi-GPU AI. Choose L40S for 48 GB inference, RTX rendering, graphics and media workloads where PCIe deployment and lower power matter.
What is the main difference between B200 and L40S?
B200 uses Blackwell with 180 GB HBM3e and Up to 8 TB/s memory bandwidth, while L40S uses Ada Lovelace with 48 GB GDDR6 ECC and 864 GB/s. Tensor Core generation, precision support, interconnects and power can also differ.
Is B200 or L40S better for LLM inference?
B200 has much more memory, far higher memory bandwidth and native FP4, making it the stronger option for large or high-throughput LLM inference. L40S is a good FP8 inference choice for models that fit within 48 GB.
Which GPU is better for AI training, B200 or L40S?
B200 is designed for frontier-scale training with Blackwell Tensor Cores and high-speed NVLink. L40S can support smaller training and fine-tuning jobs, but its 48 GB GDDR6 memory and PCIe-only topology limit the scale at which it competes.
How much memory do B200 and L40S have?
NVIDIA B200 provides 180 GB HBM3e, while NVIDIA L40S provides 48 GB GDDR6 ECC. Memory capacity alone does not determine performance, so bandwidth, precision support and workload behavior should also be considered.
Which is cheaper to rent, B200 or L40S?
Cloud rental pricing for B200 and L40S varies by provider, region, configuration and billing model. Check current provider pricing rather than assuming one GPU is always cheaper.

Sources & Verification

Hardware specifications were checked against official NVIDIA product pages and documentation.

Last verified: August 11, 2026 · View our data source standards

GPU Profile

NVIDIA B200

See specifications, cloud providers, pricing and workload fit for B200.

View B200

GPU Profile

NVIDIA L40S

See specifications, cloud providers, pricing and workload fit for L40S.

View L40S