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apple-silicon
11 postsmetaljax Brings Unmodified JAX Code to Apple Silicon GPUs
metaljax is an open-source PJRT plugin running JAX on Apple Silicon GPUs via MLX, passing 98.4% of JAX's official test suite in beta.
Native Swift + MLX port of FLUX.2 [klein] ships for Apple Silicon
A dependency-free Swift + MLX port of FLUX.2 [klein] for Apple Silicon adds text/image editing, quantization, and Python-parity outputs.
Engineers Reverse-Engineer a Linux GPU Driver for Apple's M4 in One Month
Two engineers built a clean-room Linux GPU driver for Apple's M4 chip in about a month using AI-assisted reverse engineering, hitting 200fps in Minecraft.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comTurboFieldfare runs Gemma 4 26B MoE model in 2GB RAM on any Mac
TurboFieldfare is an open-source Swift/Metal runtime that streams MoE experts to run Gemma 4 26B in just 2GB RAM on 8GB Apple Silicon Macs.
Running Kimi K3, a 2.8T-Parameter MoE Model, on an M1 Mac
Deltafin runs Kimi K3, a 2.8T-parameter MoE model, on a 64GB M1 Mac via full local install or expert streaming, no cluster required.
Apple Silicon macOS VMs Get 11-16x Faster LLM Inference via Llama.cpp
Cua's Metal capability shim delivers 11-16x faster llama.cpp LLM inference in macOS VMs on Apple Silicon, with open benchmarks and source.
Qwisp: MoE expert-streaming engine runs Qwen3.6-35B-A3B on 8GB Macs
Qwisp streams MoE experts from flash to run the 35B-parameter Qwen3.6-A3B model on 8GB Macs, with bit-exact lossless decoding and raw-Metal speed.
Booting Linux on Apple's M4: SPTM, Locked Registers and WFI Bugs
Deep dive into booting Linux on Apple's M4 chip: SPTM hardening, register debugging, and a WFI erratum that breaks ARM64 spec compliance.
Asahi Linux Works Around Missing PSCI on Apple Silicon
Asahi Linux details a UEFI-based workaround for missing PSCI on Apple Silicon, plus M4 CPU idle fixes and SPTM security details.
From CUDA to MLX: K-Search Optimizes for Apple Silicon
K-Search translates CUDA optimizations into MLX for Apple Silicon, marking a key advancement for GPU kernels in AI.