Cloud A100 80GB (profile) vs Cloud H200 141GB (profile) for Local AI
A computed, spec-by-spec comparison of the Cloud A100 80GB (profile) and the Cloud H200 141GB (profile) for running private local AI. Every value below is derived from catalog specs and our scoring/compatibility engines — figures shown as “to verify” are not yet confirmed.
| Cloud A100 80GB (profile) | Cloud H200 141GB (profile) | |
|---|---|---|
| Local AI Score | 72 /100 | 97 /100 |
| Memory | 80 GB | 141 GB |
| Memory bandwidth | 2,039 GB/s | 4,800 GB/s |
| Approx FP16 | 312 TFLOPS | 990 TFLOPS |
| Category | Cloud GPU Profiles | Cloud GPU Profiles |
| Largest model it runs | Qwen2.5 72B (Q4_K_M) | Qwen2.5 72B (Q8_0) |
| Recommended AI Business OS tier | Business | Enterprise |
| Best deployment | Cloud | Cloud |
Highlighted cells indicate the stronger value in that row (higher is better). Scores and model fit are transparent heuristics for relative guidance, not benchmarks.
Bottom line
The Cloud H200 141GB (profile) leads on our computed Local AI Score (97/100 vs the Cloud A100 80GB (profile)'s 72/100), making it the stronger pick for demanding local AI. The Cloud H200 141GB (profile) carries more memory (141GB vs 80GB), so it can hold larger models or more concurrent agents. Its largest comfortably-runnable model is Qwen2.5 72B (Q8_0). The Cloud A100 80GB (profile) remains the leaner, lower-overhead option where its score is enough.
Overall lead by Local AI Score: Cloud H200 141GB (profile).
Pick the Cloud A100 80GB (profile) if a leaner, lower-cost setup is enough (72/100), you need to run models up to Qwen2.5 72B (Q4_K_M), you prefer an elastic cloud profile for bursty workloads — it suits the Business AI Business OS tier.
Pick the Cloud H200 141GB (profile) if you want the higher Local AI Score (97/100), you need to run models up to Qwen2.5 72B (Q8_0), you prefer an elastic cloud profile for bursty workloads — it suits the Enterprise AI Business OS tier.
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