Rohan Paul· @rohanpaul_ai · X·· 3 小时前AI 评分26
AI 导读
当团队希望音频留在自己的机器上时，本地推理很有用，但仅凭这一点并不能证明模型已为实时眼镜、耳机、录音笔或其他边缘硬件做好准备。 内存占用、GPU 需求、吞吐量、流式行为以及实际交互延迟，仍需在目标设备上实测。
正文
Local inference is useful when teams want audio to stay on their own machines, but that alone does not prove the model is ready for real-time glasses, earbuds, recorders, or other edge hardware.
Memory use, GPU requirements, throughput, streaming behavior, and actual interaction latency still need to be measured on the target device.
来源：Rohan Paul · x.com