NVIDIA A100 80GB SXM4 vs NVIDIA L40S

Side-by-side comparison of NVIDIA A100 80GB SXM4 (80 GB VRAM, 2.0 TB/s) and NVIDIA L40S (48 GB VRAM, 864 GB/s). Compare specs, compute throughput, and workload sizing for LLM inference.

Decision Summary

Spec	NVIDIA A100 80GB SXM4	NVIDIA L40S
VRAM	80GB HBM2e	48GB GDDR6
Memory Bandwidth	2.0 TB/s	864 GB/s
FP8 TFLOPS	624	733
FP16 TFLOPS	312	366
Interconnect	NVLink 3.0 (600 GB/s)	PCIe 4.0 (64 GB/s)
TDP	400W	350W
Recommended Quantization	INT8 / INT4 (GPTQ/AWQ) — no FP8 support	AWQ / 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.

Workload

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Precision

Batch Size

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 A100 80GB SXM4 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

	Provider	GPU & VRAM	Interconnect	Spot Price ($/hr)	On-Demand ($/hr)	Monthly ($/720h)	Status	Action
	Lambda Labs Dedicated	A10080GB HBM2e Llama 70B (FP8) ✅Qwen 32B ✅Production vLLM Cluster ✅DeepSeek R1 ✅	NVLink 3.0 (600 GB/s)	$1.59/hr Calculated EstimateMEDIUM SourceLambda Labs VerifiedSep 26, 2026 Value 1.59 /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	$1.59 / hr	$973 / mo	Instant	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 A100 80GB SXM4

ArchitectureAmpere GA100

Process Node7nm TSMC

FP8 TFLOPS624

FP16 TFLOPS312

Compute BoundMemory-bandwidth bound — 2.0 TB/s limits batch scaling

Recommended Topology4-way or 8-way NVLink 3.0 Baseboard

Recommended Quantization: INT8 / INT4 (GPTQ/AWQ) — no FP8 support

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

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NVIDIA A100 80GB SXM4 vs NVIDIA GeForce RTX 4090→

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NVIDIA H100 SXM5 vs NVIDIA L40S→

80GB HBM3 vs 48GB GDDR6

NVIDIA L40S vs NVIDIA GeForce RTX 4090→

48GB GDDR6 vs 24GB GDDR6X

Deploy NVIDIA A100 80GB SXM4 Deploy 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 →