NVIDIA B200 Blackwell vs NVIDIA L40S

Side-by-side comparison of NVIDIA B200 Blackwell (192 GB VRAM, 8.0 TB/s) and NVIDIA L40S (48 GB VRAM, 864 GB/s). Compare specs, compute throughput, and workload sizing for LLM inference.

Decision Summary

SpecNVIDIA B200 BlackwellNVIDIA L40S
VRAM192GB HBM3e48GB GDDR6
Memory Bandwidth8.0 TB/s864 GB/s
FP8 TFLOPS2,250733
FP16 TFLOPS1,125366
InterconnectNVLink 5.0 (1.8 TB/s)PCIe 4.0 (64 GB/s)
TDP1000W350W
Recommended QuantizationFP4 / FP8 native β€” FP4 cuts memory 50% with <5% quality lossAWQ / GPTQ / GGUF β€” INT4 essential for 30B+ models

Compare for a Workload

Configure a workload to see how each selected GPU performs. Calculations are deterministic estimates based on architectural specifications.

Configure workload parameters above and click "Calculate VRAM Requirement" to see results.

Cloud Provider Pricing

Current spot and on-demand rates across providers for NVIDIA B200 Blackwell and NVIDIA L40S.

ProviderGPU & VRAMInterconnectSpot Price ($/hr)On-Demand ($/hr)Monthly ($/720h)StatusAction
Community
NVLink 5.0 (1.8 TB/s)$3.99/hr
Calculated EstimateMEDIUM
SourceVast.ai
VerifiedSep 26, 2026
Value
3.99 /hr
Methodology

No distinct spot listing β€” the provider's listed hourly (on-demand) rate is surfaced as the tracked rate.

Assumptions & Parameters
  • note: Spot rates fluctuate with capacity
Refreshed daily from provider APIs and market scrapingSep 26, 2026
$3.99 / hr$2,442 / moInstant
Bare Metal
NVLink 5.0 (1.8 TB/s)$4.49/hr
Calculated EstimateMEDIUM
SourceSpheron
VerifiedSep 26, 2026
Value
4.49 /hr
Methodology

No distinct spot listing β€” the provider's listed hourly (on-demand) rate is surfaced as the tracked rate.

Assumptions & Parameters
  • note: Spot rates fluctuate with capacity
Refreshed daily from provider APIs and market scrapingSep 26, 2026
$4.49 / hr$2,748 / moInstant
Dedicated
NVLink 5.0 (1.8 TB/s)$5.49/hr
Calculated EstimateMEDIUM
SourceLambda Labs
VerifiedSep 26, 2026
Value
5.49 /hr
Methodology

No distinct spot listing β€” the provider's listed hourly (on-demand) rate is surfaced as the tracked rate.

Assumptions & Parameters
  • note: Spot rates fluctuate with capacity
Refreshed daily from provider APIs and market scrapingSep 26, 2026
$5.49 / hr$3,360 / moInstant
Cloud
NVLink 5.0 (1.8 TB/s)$5.99/hr
Calculated EstimateMEDIUM
SourceRunPod
VerifiedSep 26, 2026
Value
5.99 /hr
Methodology

No distinct spot listing β€” the provider's listed hourly (on-demand) rate is surfaced as the tracked rate.

Assumptions & Parameters
  • note: Spot rates fluctuate with capacity
Refreshed daily from provider APIs and market scrapingSep 26, 2026
$5.99 / hr$3,666 / moInstant
On-demand and monthly figures are the providers' listed rates (monthly = listed rate, else hourly Γ— 720h). Rows without a tracked rate show β€”. All rates subject to preemption and provider availability.
Data Freshness: Public Cloud APIs & Market Scraping | Refreshed Daily (UTC)Benchmark Baseline: Ubuntu 24.04, CUDA 12.4, vLLM v0.6.x, PagedAttention v2, FlashAttention-3

Prices verified daily from Spheron, RunPod, Vast.ai, and Lambda Labs APIs.

Microarchitecture & Interconnect

NVIDIA B200 Blackwell
ArchitectureBlackwell GB200
Process Node4NP TSMC
FP8 TFLOPS2,250
FP16 TFLOPS1,125
Compute BoundMemory-bandwidth bound at large batch; compute-bound at small batch with FP8/BF16
Recommended Topology8-way NVLink 5.0 Full Mesh (1.8 TB/s per GPU)
Recommended Quantization: FP4 / FP8 native β€” FP4 cuts memory 50% with <5% quality loss
NVIDIA L40S
ArchitectureAda Lovelace AD102
Process Node5nm TSMC
FP8 TFLOPS733
FP16 TFLOPS366
Compute BoundSeverely memory-bandwidth bound β€” GDDR6 bus cannot feed FP8 Tensor Core demand at batchβ‰₯16
Recommended TopologyPCIe Single Node β€” no NVLink, 2-4 GPU max
Recommended Quantization: AWQ / GPTQ / GGUF β€” INT4 essential for 30B+ models

Related GPU Comparisons

Explore canonical side-by-side comparisons for this hardware tier.

Data Freshness: Verified via Public Cloud APIs & Market Scraping | Refreshed Daily (UTC)Benchmark Baseline: Ubuntu 24.04, CUDA 12.4, vLLM v0.6.x (PagedAttention v2, FlashAttention-3), BF16/FP8 weights.
Methodology β†’