DGX Spark TensorRT-LLM Benchmarking

Grace Hopper Architecture Performance Analysis

NVIDIA DGX Spark TensorRT-LLM Grace Hopper GB10

Comprehensive benchmarking of large language model inference on NVIDIA DGX Spark, comparing execution environments and investigating memory behavior on unified Grace Hopper architecture.

01
Container vs Native Execution
✅ Complete

Systematic comparison of Docker containerized execution versus native (chroot) execution across three large language models.

  • 60 benchmark runs across 3 models
  • 20-30 GB memory overhead discovered
  • 1.6-2.7x KV cache reduction in containers
  • Identical throughput performance
View Phase 1 Results →
02
Advanced Testing & Optimization
🚧 Coming Soon

Extended testing with cgroup workarounds, alternative containerization methods, and deeper investigation into Grace Hopper unified memory behavior.

  • Cgroup-level workarounds testing
  • systemd-nspawn evaluation
  • Larger model suite
  • Production recommendations
In Progress →