A100 80GB vs GH200

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Side-by-side GPU comparison: specs, memory, compute performance, and live cloud pricing.

Verdict

GH200 has 16 GB more VRAM, making it better suited for large models and long context windows. For compute-bound workloads like training, GH200 delivers 3.2× higher FP16 throughput. At $1.39/hr vs $2.29/hr, A100 80GB is the more cost-efficient choice for inference. GH200 supports a broader range of models (637 vs 636 from this catalog), giving more flexibility.

Specifications

A100 80GBGH200
VRAM80 GB96 GB
VRAM TypeHBM2eHBM3
Memory Bandwidth2.0 TB/s4.0 TB/s
FP16 Performance312 TFLOPS990 TFLOPS
ManufacturerNVIDIANVIDIA
FP8 SupportNoYes
FP4 SupportNoNo

Price / Performance

Based on cheapest single-GPU on-demand pricing. Lower $/TFLOP = better compute value; lower $/GB = better memory value.

A100 80GBGH200
$/hr (cheapest)$1.39✓ best$2.29
$/TFLOP (compute value)$0.0045$0.0023✓ best
$/GB VRAM (memory value)$0.0174✓ best$0.0239

Cloud Pricing

Cheapest on-demand price per provider (single GPU).

A100 80GB

ProviderOn-demandSpotRent
RunPod$1.39/hr$0.82/hrRent
Google Cloud$1.85/hr$1.47/hr
Microsoft Azure$3.67/hr$0.40/hr

GH200

ProviderOn-demandSpotRent
Lambda$2.29/hr

Model Compatibility

Models from the catalog that fit on each GPU, grouped by required precision.

A100 80GB (636 models)

GH200 (637 models)

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Pricing data refreshed hourly · Last updated April 11, 2026 · Browse all comparisons