cuda : Disable host buffers on integrated GPUs (#15034) #16308
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This is probably the same synchronization issue with the scheduler that @ggerganov found when making the Metal backend async. To confirm this, can you verify if it works (without this change) by launching with the env variable |
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slaren
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anyshu
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* master: (113 commits) webui: updated the chat service to only include max_tokens in the req… (ggml-org#16489) cpu : optimize the ggml NORM operation (ggml-org#15953) server : host-memory prompt caching (ggml-org#16391) No markdown in cot (ggml-org#16483) model-conversion : add support for SentenceTransformers (ggml-org#16387) ci: add ARM64 Kleidiai build and test support (ggml-org#16462) CANN: Improve ACL graph matching (ggml-org#16166) kleidiai: kernel interface refactoring (ggml-org#16460) [SYCL] refactor soft_max, add soft_max_back (ggml-org#16472) model: EmbeddingGemma Adding Support for SentenceTransformers Dense Modules (ggml-org#16367) refactor: centralize CoT parsing in backend for streaming mode (ggml-org#16394) Disable CUDA host buffers on integrated GPUs (ggml-org#16308) server : fix cancel pending task (ggml-org#16467) metal : mark FA blocks (ggml-org#16372) server : improve context checkpoint logic (ggml-org#16440) ggml webgpu: profiling, CI updates, reworking of command submission (ggml-org#16452) llama : support LiquidAI LFM2-MoE hybrid model (ggml-org#16464) server : add `/v1/health` endpoint (ggml-org#16461) webui : added download action (ggml-org#13552) (ggml-org#16282) presets : fix pooling param for embedding models (ggml-org#16455) ...
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"Integrated" CUDA devices seem to be bugged and produce incorrect output in specific cases. Since disabling the
integratedflag seems to neither affect performance nor memory usage on Jetson, I propose disabling the option until the underlying issue is fixed.Fixes #15034 and probably also #15923.