<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Apple Silicon on Onur Baydaş</title><link>https://onurbaydas.com/en/tags/apple-silicon/</link><description>Recent content in Apple Silicon on Onur Baydaş</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 21 Oct 2026 10:35:55 +0300</lastBuildDate><atom:link href="https://onurbaydas.com/en/tags/apple-silicon/index.xml" rel="self" type="application/rss+xml"/><item><title>KFlash: New Benchmarks for Apple Silicon Optimized Engines</title><link>https://onurbaydas.com/en/news/2026-10-21-kflash-apple-silicon-benchmarks/</link><pubDate>Wed, 21 Oct 2026 10:35:55 +0300</pubDate><guid>https://onurbaydas.com/en/news/2026-10-21-kflash-apple-silicon-benchmarks/</guid><description>Kapitsa is an open-source project that provides a fast inference engine optimized for Apple Silicon. This engine is specifically developed for Qwen and Nemotron models.</description></item><item><title>MPS Support in PyTorch 2.15</title><link>https://onurbaydas.com/en/news/2026-10-21-pytorch-2-15-mps-support/</link><pubDate>Wed, 21 Oct 2026 10:35:55 +0300</pubDate><guid>https://onurbaydas.com/en/news/2026-10-21-pytorch-2-15-mps-support/</guid><description>PyTorch 2.15 introduces MPS (Metal Performance Shaders) support. This enables more efficient execution of AI workloads, especially on devices with Apple Silicon chips.</description></item><item><title>Apple M4 Mac Mini Discount</title><link>https://onurbaydas.com/en/news/2026-10-20-apple-mac-mini-m4-deal/</link><pubDate>Tue, 20 Oct 2026 09:55:43 +0300</pubDate><guid>https://onurbaydas.com/en/news/2026-10-20-apple-mac-mini-m4-deal/</guid><description>Best Buy is offering a discount on the base model of the M4 Mac Mini. This configuration includes 16GB RAM and a 256GB SSD.</description></item></channel></rss>