Daniel Han d7a78599e6 studio: optimize llama.cpp build with static linking, ccache, ninja ... Benchmarked BUILD_SHARED_LIBS ON vs OFF: - Build time identical (~55s both on 192-core B200) - Static: 75MB self-contained binary, no LD_LIBRARY_PATH needed - Shared: 7.4MB + .so deps, needs lib path management - Both work correctly Optimizations applied to LlamaCppBuilder: - BUILD_SHARED_LIBS=OFF: static binary, simpler deployment - ccache: 27x faster rebuilds (55s -> 2s with warm cache) - Ninja generator: parallel builds - CMAKE_CUDA_ARCHITECTURES: build only for detected GPU arch - CMAKE_CUDA_FLAGS=--threads=0: multi-threaded CUDA compilation - GGML_NATIVE=ON: native CPU optimizations - LLAMA_BUILD_TESTS=OFF, LLAMA_BUILD_EXAMPLES=OFF: skip unused targets - LLAMA_BUILD_SERVER=ON: build only what we need		2026-03-16 14:15:14 +00:00
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data_recipe	Improve AI Assist: Update default model, model output parsing, logging, and dataset mapping UX (#4323)	2026-03-16 16:04:35 +04:00
export	Final cleanup	2026-03-12 18:28:04 +00:00
inference	studio: optimize llama.cpp build with static linking, ccache, ninja	2026-03-16 14:15:14 +00:00
training	studio: training progress visibility + deferred llama.cpp compilation	2026-03-16 14:02:20 +00:00
__init__.py	Final cleanup	2026-03-12 18:28:04 +00:00