DGX Spark LLM Training Benchmarks: Slower Than Advertised?
Published:Jan 3, 2026 22:32
•1 min read
•r/LocalLLaMA
Analysis
The article reports on performance discrepancies observed when training LLMs on a DGX Spark system. The author, having purchased a DGX Spark, attempted to replicate Nvidia's published benchmarks but found significantly lower token/s rates. This suggests potential issues with optimization, library compatibility, or other factors affecting performance. The article highlights the importance of independent verification of vendor-provided performance claims.
Key Takeaways
- •Independent benchmarks show DGX Spark performance may be lower than advertised.
- •Discrepancies exist between Nvidia's published benchmarks and user-reported results.
- •Potential issues include optimization problems or library compatibility.
- •Further investigation is needed to determine the cause of the performance differences.
Reference
“The author states, "However the current reality is that the DGX Spark is significantly slower than advertised, or the libraries are not fully optimized yet, or something else might be going on, since the performance is much lower on both libraries and i'm not the only one getting these speeds."”