Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.
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Santosh Bhavani 3c39506b06 Fix query mode grouping in performance metrics
- Add queryMode field to QueryLogSummary interface
- Update getQueryLogs to group by both query AND queryMode
- Use composite key (query|||queryMode) for proper separation
- Enables separate tracking of Pure RAG vs Graph Search queries

Previously, queries with the same text but different modes were
merged together, causing metrics to only show one aggregate value.
Now each mode's performance is tracked independently.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-25 14:10:37 -07:00
nvidia Fix query mode grouping in performance metrics 2025-10-25 14:10:37 -07:00
src/images chore: Regenerate all playbooks 2025-10-03 20:46:11 +00:00
LICENSE chore: Regenerate all playbooks 2025-10-03 20:46:11 +00:00
README.md chore: Regenerate all playbooks 2025-10-18 21:28:42 +00:00

NVIDIA DGX Spark

DGX Spark Playbooks

Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.

About

These playbooks provide detailed instructions for:

  • Installing and configuring popular AI frameworks
  • Running inference with optimized models
  • Setting up development environments
  • Connecting and managing your DGX Spark device

Each playbook includes prerequisites, step-by-step instructions, troubleshooting guidance, and example code.

Available Playbooks

NVIDIA

Resources

License

See: