Support for Intel Neural Processing Unit (NPU) and Intel Arc GPU acceleration in llama.cpp #15883
ItsMeForLua
started this conversation in
Ideas
Replies: 1 comment 1 reply
-
@ItsMeForLua There is a PR to enable OpenVINO as new backend in llama.cpp, which could support Intel CPU/GPU/NPU. |
Beta Was this translation helpful? Give feedback.
1 reply
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
-
Currently, llama.cpp provides CPU and NVIDIA CUDA GPU acceleration backends, but native support for Intel's hardware accelerators is not available yet.
My laptop is equipped with an Intel Arc GPU and supports Intel NPU via a well-documented C API (Intel NPU Acceleration Library). Enabling support in llama.cpp to utilize these accelerators would lead to significantly better inference performance and efficiency, particularly for laptops and systems without NVIDIA GPUs.
(i used an AI for portions of this report so ignore the awkward phrasing)
The existing Intel NPU C API is accessible and theoretically would integrate well (e.g., via OpenVINO and Intel's acceleration libraries) Given that hardware acceleration is critical for efficient large language model inference, this feature would benefit users with Intel hardware by increasing throughput and reducing CPU load and power consumption.
Possible Implementation:
Additional Context:
Intel NPU Acceleration Library
NPU Illustration: From: Intel NPU Acceleration Library
Beta Was this translation helpful? Give feedback.
All reactions