llama.cpp 多 GPU 与张量并行性能提升
Highlighting recent advances in multi-GPU and tensor parallel support in llama.cpp
llama.cpp 维护者与 NVIDIA 工程师合作数月，改进了 ggml 的多 GPU 性能，在 RTX 系统上取得显著性能提升，并为 ggml 的硬件无关张量并行打下基础。更多细节见 NVIDIA RTX Spark 的技术博客。
查看原帖Build on-device personal AI agents on Windows PCs with new tools from NVIDIA and Microsoft, including secure sandboxing, faster local inference, multi-GPU support, and RTX acceleration for Windows AI APIs. Read the technical blog: https://t.co/vNIsEded46 https://t.co/4bPWPDERJO
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Highlighting recent advances in multi-GPU and tensor parallel support in llama.cpp
Over the last few months llama.cpp maintainers and engineers from NVIDIA collaborated to improve the multi-GPU performance in ggml. This resulted in significant performance gains on RTX systems and laid the groundwork for hardware-agnostic tensor parallelism in ggml.
For more information on this and other advancements in the low-level inference engine of llama.cpp, check the technical blog by @NVIDIARTXSpark below