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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 a082a8a737 feat(backend): implement LLM-enhanced query method 
- Add queryWithLLM method to BackendService
- Retrieves top K triples from graph and uses LLM to generate answers
- Supports configurable LLM model and provider selection
- Uses research-backed prompt structure for KG-enhanced RAG
- Includes fallback handling for LLM errors
2025-10-19 19:57:12 -07:00
nvidia feat(backend): implement LLM-enhanced query method 2025-10-19 19:57:12 -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 2025-10-17 17:29:40 +00:00

README.md

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: