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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 de9c46e97e Replace Pinecone with Qdrant for ARM64 compatibility 
- Migrate from Pinecone to Qdrant vector database for native ARM64 support
- Add Qdrant service with automatic collection initialization in docker-compose
- Implement QdrantService with UUID-based point IDs to meet Qdrant requirements
- Update all API routes and frontend components to use Qdrant
- Enhance Storage Connections UI with detailed stats (vectors, status, dimensions)
- Add icons and tooltips to Vector DB section matching Graph DB UX
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nvidia Replace Pinecone with Qdrant for ARM64 compatibility 2025-10-24 23:16:44 -07:00
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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: