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NVIDIA H200 SXM5 vs NVIDIA L40S

Side-by-side comparison of NVIDIA H200 SXM5 (141 GB VRAM, 4.8 TB/s) and NVIDIA L40S (48 GB VRAM, 864 GB/s). Compare specs, compute throughput, and workload sizing for LLM inference.

Decision Summary

SpecNVIDIA H200 SXM5NVIDIA L40S
VRAM141GB HBM3e48GB GDDR6
Memory Bandwidth4.8 TB/s864 GB/s
FP8 TFLOPS1,979733
FP16 TFLOPS989366
InterconnectNVLink 4.0 (900 GB/s)PCIe 4.0 (64 GB/s)
TDP700W350W
Recommended QuantizationFP8 / FP4 nativeAWQ / GPTQ / GGUF — 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 H200 SXM5 and NVIDIA L40S.

Featured GPU Pricing Pages

NVIDIA H100 SXM5

80GB HBM3 • 3.35 TB/s • NVLink 4.0

NVIDIA A100 40GB

40GB HBM2 • 1.55 TB/s • NVLink 3.0

NVIDIA A100 80GB

Verified spot rates & reserved pricing

NVIDIA A10G

24GB GDDR6 • 0.62 TB/s • PCIe 4.0

NVIDIA RTX 3090

24GB GDDR6X • 0.94 TB/s • PCIe 4.0

NVIDIA T4

16GB GDDR6 • 0.32 TB/s • PCIe 3.0

ProviderGPU & VRAMInterconnectSpot Price ($/hr)On-Demand ($/hr)Monthly ($/720h)StatusAction
Vast.ai
Community
H200141GB HBM3e
Llama 70B (FP8) ✅DeepSeek R1 ✅Production vLLM Cluster ✅Qwen 32B ✅
NVLink 4.0 (900 GB/s)$2.79/hr
Calculated EstimateMEDIUM
SourceVast.ai
VerifiedSep 26, 2026
Value
2.79 /hr
Methodology

No distinct spot listing — 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
$2.79 / hr$1,707 / moInstant
Deploy →
Spheron
Bare Metal
H200141GB HBM3e
Llama 70B (FP8) ✅DeepSeek R1 ✅Production vLLM Cluster ✅Qwen 32B ✅
NVLink 4.0 (900 GB/s)$3.19/hr
Calculated EstimateMEDIUM
SourceSpheron
VerifiedSep 26, 2026
Value
3.19 /hr
Methodology

No distinct spot listing — 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
$3.19 / hr$1,952 / moInstant
Deploy →
Lambda Labs
Dedicated
H200141GB HBM3e
Llama 70B (FP8) ✅DeepSeek R1 ✅Production vLLM Cluster ✅Qwen 32B ✅
NVLink 4.0 (900 GB/s)$3.99/hr
Calculated EstimateMEDIUM
SourceLambda Labs
VerifiedSep 26, 2026
Value
3.99 /hr
Methodology

No distinct spot listing — 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
Deploy →
RunPod
Cloud
H200141GB HBM3e
Llama 70B (FP8) ✅DeepSeek R1 ✅Production vLLM Cluster ✅Qwen 32B ✅
NVLink 4.0 (900 GB/s)$4.31/hr
Calculated EstimateMEDIUM
SourceRunPod
VerifiedSep 26, 2026
Value
4.31 /hr
Methodology

No distinct spot listing — 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
$4.31 / hr$2,638 / moInstant
Deploy →
On-demand and monthly figures are the providers' listed rates (monthly = listed rate, else hourly × 720h). Rows without a tracked rate show —. 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 H200 SXM5
ArchitectureHopper GH200
Process Node4nm TSMC
FP8 TFLOPS1,979
FP16 TFLOPS989
Compute BoundMemory-bandwidth bound across all batch sizes
Recommended Topology8-way HGX Baseboard with NVLink 4.0 Mesh
Recommended Quantization: FP8 / FP4 native
NVIDIA L40S
ArchitectureAda Lovelace AD102
Process Node5nm TSMC
FP8 TFLOPS733
FP16 TFLOPS366
Compute BoundSeverely memory-bandwidth bound — GDDR6 bus cannot feed FP8 Tensor Core demand at batch≥16
Recommended TopologyPCIe Single Node — no NVLink, 2-4 GPU max
Recommended Quantization: AWQ / GPTQ / GGUF — INT4 essential for 30B+ models

Related GPU Comparisons

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

NVIDIA H100 SXM5 vs NVIDIA H200 SXM5→
80GB HBM3 vs 141GB HBM3e
NVIDIA B200 Blackwell vs NVIDIA H200 SXM5→
192GB HBM3e vs 141GB HBM3e
NVIDIA A100 80GB SXM4 vs NVIDIA H200 SXM5→
80GB HBM2e vs 141GB HBM3e
NVIDIA H100 SXM5 vs NVIDIA L40S→
80GB HBM3 vs 48GB GDDR6
Deploy NVIDIA H200 SXM5Deploy NVIDIA L40S
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 →