
Apple Launches Core AI for Apple-Silicon Optimized On-Device Generative AI
Quick Answer
Apple unveiled the Core AI framework at WWDC 26, succeeding Core ML, enabling on-device generative AI with support for custom PyTorch models and optimized open-source models.
Quick Take
Apple unveiled the Core AI framework at WWDC 26, succeeding Core ML, enabling on-device generative AI with support for custom PyTorch models and optimized open-source models. This advancement allows developers to leverage large language models directly on Apple Silicon devices, enhancing performance and privacy.
Key Points
- Core AI is the successor to Core ML, enhancing on-device AI capabilities.
- Supports both custom PyTorch models and pre-optimized open-source models.
- Designed specifically for Apple Silicon, improving performance and privacy.
- Enables developers to run large language models entirely on-device.
Article Excerpt
From source RSS / original summaryAt WWDC 26, Apple announced the Core AI framework, the official successor to Core ML. It is designed to allow developers to run large language models and generative AI entirely on-device, supporting both custom-converted PyTorch models and pre-optimized open-source models. By Sergio De Simone
Reader Mode unavailable (could not extract clean content).
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from InfoQ AI, ML & Data Engineering
See more →
Presentation: AI Agents to Make Sense of Data at OpenAI
OpenAI's Bonnie Xu presents Kepler, an AI data analyst agent that queries over 600 petabytes of data. The team employs to address context window limits, automated code crawling, and for enhanced data analysis. They also utilize scoped semantic memory for self-learning and AST-based LLM grading for a robust evaluation pipeline.




