AIToday
AI Coding AssistantsOpen-Source AIArs Technica AIPublished: Apr 1, 2026, 10:00 JST1 min read

Ollama's new MLX support enables faster local AI model execution on Apple Silicon by optimizing unified memory usage.

Ollama's new MLX support enables faster local AI model execution on Apple Silicon by optimizing unified memory usage.

3 Key Points

  1. Ollama integrates MLX framework to improve performance when running large language models locally on Mac computers

  2. Apple Silicon's unified memory architecture is better leveraged, reducing data transfer overhead between CPU and GPU

  3. Users can now run sophisticated AI models on their Macs with improved speed and efficiency without relying on cloud services

Ask the AI about this article →

Ars Technica AIRead Original Article

Get the latest AI Coding Assistants news every morning

For example, today's edition would include:

  • VS Code's 'Rubber Duck' feature lets developers get a second AI opinionPublickey · 2h ago
  • Claude Code to permanently raise usage limits by 25%Ben's Bites · 2h ago
  • OpenClaw 2.0 launches, targeting enterprise AI teamsVentureBeat AI · 14h ago

AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.

Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. Q&As are published on this page for other readers too.

Related Articles

Next articleA source code leak from Anthropic's Claude Code 2.1.88 update exposed over 512,000 lines of TypeScript code, revealing planned features and AI instructions.