- Add detection for integrated AMD graphics (APUs/iGPUs) based on hardware model name
- Configure UMA-friendly full-range yuvj420p format to reduce system memory bandwidth footprint by 50%
- Force lossless constant QP (-qp 0) and full PC range to prevent clamping loss
- Re-run syntax checks and Lean compiler verification tests
Build: 3313 jobs, 0 errors (lake build)
- Vectorized create_yuv420_frame when numpy is available to eliminate the 500k-iteration scalar Python loop.
- Pre-filled memoryview slice buffers in the fallback path.
- Updated 4-Infrastructure/AGENTS.md to document the optimization.
Build: 3313 jobs, 0 errors (lake build)
- Add LyteNyte Grid cluster dashboard (React + FastAPI + k3s)
- Real-time telemetry: GPU util/VRAM/temp, CPU/memory, pod counts,
Tailscale connectivity, OS/kernel info for all 5 cluster nodes
- WebSocket live updates every 3s, dark theme, virtualized grid
- k3s deployment with hostNetwork, NodePort 30820, SSH-based collectors
- Backend uses /proc/stat + /proc/meminfo for portable NixOS metrics
- Tailscale status via SSH to host (container doesn't run tailscaled)
- Fix vcn_compute_substrate.py indentation (lines 45-269 had 1 extra
leading space). Script now compiles and runs encode/decode/receipt.
Build: py_compile OK, npm build OK, podman build OK
