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Use NGC PyTorch 24.08 for Python 3.10 compatibility
gary-boon +1: Claude Opus 4.524.11 uses Python 3.12 which breaks older packages. 24.08 has Python 3.10 which works with our requirements.txt 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>a2875a2 -
Use NVIDIA NGC PyTorch container for GB10 support
gary-boon +1: Claude Opus 4.5NGC containers are optimized for latest NVIDIA hardware including GB10. PyTorch comes pre-installed with proper CUDA/GPU support. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>a4cfbff -
Try PyTorch nightly for GB10/sm_121 GPU support
gary-boon +1: Claude Opus 4.5The NVIDIA GB10 (Grace Blackwell) requires sm_121 compute capability which isn't in stable PyTorch yet. Nightly may have it. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>a009a49 -
Skip zarr/numcodecs in Spark build (ARM64 incompatible)
gary-boon +1: Claude Opus 4.5These are for tensor caching, not core inference. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>d129e37 -
Fix numcodecs ARM64 compatibility in Dockerfile.spark
gary-boon +1: Claude Opus 4.5- Skip torch from requirements (already installed with CUDA) - Upgrade numcodecs to >=0.13.0 (ARM64 compatible) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>772fc80 -
Fix Dockerfile.spark for CUDA 13.0 compatibility
gary-boon +1: Claude Opus 4.5- Use nvidia/cuda:12.4.0-runtime-ubuntu22.04 base image - Install PyTorch with CUDA 12.4 wheels (compatible with CUDA 13.0 driver) - Build Python dependencies properly for ARM64 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>a4927aa -
Fix Dockerfile.spark for ARM64 architecture (DGX Spark)
gary-boon +1: Claude Opus 4.5- Use NVIDIA NGC pytorch image (nvcr.io/nvidia/pytorch:24.01-py3) - Supports ARM64/aarch64 with CUDA 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>9d00d33 -
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