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Add GPU-enabled Dockerfile for Spark
gary-boon +1: Claude Opus 4.5- Create docker/Dockerfile.spark using pytorch/pytorch CUDA base image - Update compose.spark.yml to use Spark-specific Dockerfile - Fixes CUDA not available issue on DGX Spark 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>9377cd8 -
Phase 1: DGX Spark infrastructure
gary-boon +1: Claude Opus 4.5- Add .env.spark.example template for Spark configuration - Add docker/compose.spark.yml with GPU support and model cache mount - Add runs/.gitkeep for runtime outputs - Update .gitignore for .env.spark and runs/* - Add /ready endpoint (503 until model loaded, then 200) - Add /debug/device endpoint for GPU verification (no secrets) Paths follow DGX Spark deployment spec: - /srv/projects/visualisable-ai-backend - /srv/models-cache/huggingface (mounted) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>a2bd186