NVIDIA A100 80GB SXM4 vs NVIDIA H100 SXM5

Side-by-side comparison of NVIDIA A100 80GB SXM4 (80 GB VRAM, 2.0 TB/s) and NVIDIA H100 SXM5 (80 GB VRAM, 3.35 TB/s). Compare specs, compute throughput, and workload sizing for LLM inference.

Decision Summary

Spec	NVIDIA A100 80GB SXM4	NVIDIA H100 SXM5
VRAM	80GB HBM2e	80GB HBM3
Memory Bandwidth	2.0 TB/s	3.35 TB/s
FP8 TFLOPS	624	1,979
FP16 TFLOPS	312	989
Interconnect	NVLink 3.0 (600 GB/s)	NVLink 4.0 (900 GB/s)
TDP	400W	700W
Recommended Quantization	INT8 / INT4 (GPTQ/AWQ) — no FP8 support	FP8 / FP4 native

Compare for a Workload

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

Workload

Context Length

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 H100 SXM5.

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 H100 SXM5

ArchitectureHopper GH100

Process Node4nm TSMC

FP8 TFLOPS1,979

FP16 TFLOPS989

Compute BoundMemory-bandwidth bound at large batch; compute-bound at small batch with FP8/BF16

Recommended Topology8-way HGX Baseboard with NVLink 4.0 Mesh

Recommended Quantization: FP8 / FP4 native

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NVIDIA H100 SXM5 vs NVIDIA H200 SXM5→

80GB HBM3 vs 141GB HBM3e

NVIDIA B200 Blackwell vs NVIDIA H100 SXM5→

192GB HBM3e vs 80GB HBM3

Deploy NVIDIA A100 80GB SXM4 Deploy NVIDIA H100 SXM5

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 →