Dell Pro Max with GB10 vs NVIDIA DGX Spark (GB10) for Local AI
A computed, spec-by-spec comparison of the Dell Pro Max with GB10 and the NVIDIA DGX Spark (GB10) 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.
| Dell Pro Max with GB10 | NVIDIA DGX Spark (GB10) | |
|---|---|---|
| Local AI Score | 66 /100 | 66 /100 |
| Memory | 128 GB | 128 GB |
| Memory bandwidth | 273 GB/s | 273 GB/s |
| Approx FP16 | to verify | to verify |
| Category | AI Appliances | AI Appliances |
| Largest model it runs | CodeLlama 13B (FP16) | CodeLlama 13B (FP16) |
| Recommended AI Business OS tier | Business | Business |
| Best deployment | Local / on-prem | Local / on-prem |
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 Dell Pro Max with GB10 and NVIDIA DGX Spark (GB10) land on the same Local AI Score (66/100), so they are closely matched for private local AI. Choose on the secondary specs below — memory, bandwidth and the largest model each can run.
Pick the Dell Pro Max with GB10 if you value its specific profile (66/100, tied on score), you need to run models up to CodeLlama 13B (FP16), you want an always-on, on-prem deployment — it suits the Business AI Business OS tier.
Pick the NVIDIA DGX Spark (GB10) if you value its specific profile (66/100, tied on score), you need to run models up to CodeLlama 13B (FP16), you want an always-on, on-prem deployment — it suits the Business AI Business OS tier.
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