AINewsnow

MPS backend out of memory on a Mac: what the numbers mean and how to set the watermark

When a PyTorch job runs out of memory on a Mac, the error ends with a piece of advice: RuntimeError: MPS backend out of memory (MPS allocated: 18.50 GiB, other allocations: 448.00 KiB, max allowed: 18.72 GiB). Tried to allocate 512.00 MiB on shared pool. Use PYTORCH_MPS_HIGH_WATERMARK_RATIO=0.0 to…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-10-14 00:01 · DEV Community — Machine Learning
    MPS backend out of memory on a Mac: what the numbers mean and how to set the watermark

More stories

  1. Google rolls out Gemini 4 Argon with high quota usage and new capabilities — Google AI Blog
  2. FBI Arrests OpenAI Employee for Planting Hidden Recording Device — Sky News Technology
  3. Apple launches HomeView, Apple TV 4K, and HomePod mini 2 with Siri AI — The Guardian AI
  4. Google DeepMind and Singapore launch on-device AI tool to combat scams — Google DeepMind Blog
  5. Salesforce launches 10 new Service Cloud AI capabilities — Salesforce AI Blog
  6. Experts discuss strategies for effective AI-assisted learning — The Conversation AI (US)
  7. Google Play enables private installation of AI-generated Android apps — TechCrunch AI
  8. Anthropic warns AI models could self-replicate across smart devices — CNBC Technology

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