期待ollama能够支持M芯片的NPU

微软提供了Copilot+ PC的npu支持，回头在我的ultra 185h上试试看

https://learn_microsoft_com/en-us/windows/ai/toolkit/toolkit-getting-started?utm_source=chatgpt_com&tabs=rest

Running Distilled DeepSeek R1 models locally on Copilot+ PCs, powered by Windows Copilot Runtime   

The Neural Processing Unit (NPU) on Copilot+ PCs offers a highly efficient engine for model inferencing,
unlocking a paradigm where generative AI can execute not just when
invoked, but enable semi-continuously running services. This empowers
developers to tap into powerful reasoning engines to build proactive and
sustained experiences.
With our work on Phi Silica, we were able to harness highly efficient inferencing – delivering very
competitive time to first token and throughput rates, while minimally
impacting battery life and consumption of PC resources. Running models
on the NPU is about speed and efficiency. For example, as mentioned in
previous posts, the Phi Silica token iterator on the NPU exhibits a 56%
improvement in power consumption compared to operating on the CPU. Such
efficiency enables new experiences that demand such state-of-the art
models to be in the main loop of the program without draining your
battery or overly heating your device. The optimized DeepSeek models for
the NPU take advantage of several of the key learnings and techniques
from that effort, including how we separate out the various parts of the
model to drive the best tradeoffs between performance and efficiency,
low bit rate quantization and mapping transformers to the NPU.
Additionally, we take advantage of Windows Copilot Runtime (WCR) to
scale across the diverse Windows ecosystem with ONNX QDQ format.

感觉搞一个 mac pro 96gb ram的最给力了。