ASUS Ascent GX10 (GB10) vs NVIDIA DGX Spark (GB10) for Local AI
A computed, spec-by-spec comparison of the ASUS Ascent GX10 (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.
| ASUS Ascent GX10 (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 ASUS Ascent GX10 (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 ASUS Ascent GX10 (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.
Turn your machine into a private AI Business OS
Run your own AI agents on hardware you control — private by design, no per-seat data leaving your premises. BrainOutput helps you pick the right machine and turn it into a working AI Business OS.