Intel Arc A770 16GB vs Intel Arc B580 12GB for Local AI
A computed, spec-by-spec comparison of the Intel Arc A770 16GB and the Intel Arc B580 12GB 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.
| Intel Arc A770 16GB | Intel Arc B580 12GB | |
|---|---|---|
| Local AI Score | 38 /100 | 38 /100 |
| Memory | 16 GB | 12 GB |
| Memory bandwidth | 560 GB/s | 456 GB/s |
| Approx FP16 | 39 TFLOPS | to verify |
| Category | Consumer GPUs | Consumer GPUs |
| Largest model it runs | DeepSeek-Coder V2 (class) (Q4_K_M) | Phi-3 Medium (14B) (Q4_K_M) |
| Recommended AI Business OS tier | Starter | Starter |
| Best deployment | Hybrid | Hybrid |
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 Intel Arc A770 16GB and Intel Arc B580 12GB land on the same Local AI Score (38/100), so they are closely matched for private local AI. The Intel Arc A770 16GB carries more memory (16GB vs 12GB), so it can hold larger models or more concurrent agents. Choose on the secondary specs below — memory, bandwidth and the largest model each can run.
Pick the Intel Arc A770 16GB if you value its specific profile (38/100, tied on score), you need to run models up to DeepSeek-Coder V2 (class) (Q4_K_M), a hybrid local+cloud deployment fits your workload — it suits the Starter AI Business OS tier.
Pick the Intel Arc B580 12GB if you value its specific profile (38/100, tied on score), you need to run models up to Phi-3 Medium (14B) (Q4_K_M), a hybrid local+cloud deployment fits your workload — it suits the Starter AI Business OS tier.
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