AINewsnow

If you have a M1 Ultra, please do check out this inference engine

Most Apple Silicon inference engines are tuned for standard MacBooks (16–36 GB Unified Memory, 16–32 GPU cores). When deployed on an M1 Ultra (Mac Studio with a 64-core GPU, 20 CPU cores, and 128 GB Unified Memory) and hopefully M2 Ultra as well, they leave significant compute and memory bandwidth…

Read the full story at r/LocalLLM ↗

Timeline · 1 report

  1. 2026-11-05 06:21 · r/LocalLLM
    If you have a M1 Ultra, please do check out this inference engine

More stories

  1. Apple cuts engineers' daily AI spending caps in broader cost-control push — Bloomberg AI
  2. Apple opens Siri AI to all app developers in preview with iOS 27.3 beta — Engadget
  3. Apple rolls out Apple Intelligence developer beta in China with Qwen-powered Siri — DigiTimes Asia
  4. GitHub Copilot expands to JetBrains Air and Apple's Xcode coding assistant — GitHub Copilot changelog
  5. Apple to require 18+ age ratings for dating apps and AI romantic companions — TechCrunch AI
  6. Apple flags risks of rogue AI agents in annual SEC filing — CNBC Technology
  7. Apple's AI Safe-Haven Status Shows Cracks as Investors Weigh Its Low AI Exposure — Wall Street Journal Technology
  8. Apple beats earnings expectations but faces memory chip cost surge and Siri AI questions — Fortune AI

Get the daily brief of stories like this at 6:30 every morning →