what hardware does apple intelligence support

Apple Intelligence supports a variety of hardware, leveraging the capabilities of Apple Silicon. This includes CPUs, GPUs, and the Apple Neural Engine, which are integral to running machine learning tasks efficiently and with low latency. Here are some key points:

1. Apple Silicon: Apple Intelligence takes full advantage of the power of Apple Silicon, which includes CPUs, GPUs, and the Apple Neural Engine. This hardware acceleration is crucial for running machine learning tasks on devices like iPhones, iPads, and Macs (Platforms State of the Union).

2. On-Device Processing: Apple Intelligence is designed to run as much as possible on-device to ensure low latency and better user experience while maintaining privacy (Platforms State of the Union).

3. Vision Pro: The Vision Pro device also benefits from the Apple Neural Engine, which enhances its Core ML capabilities by allowing machine learning tasks to be executed on-device (Introducing enterprise APIs for visionOS).

4. Training Models on Mac: For those involved in training machine learning models, the Mac provides an excellent environment, supporting frameworks like PyTorch, TensorFlow, JAX, and MLX, and taking full advantage of Apple Silicon's hardware acceleration and unified memory (Platforms State of the Union).

Relevant Sessions

• Platforms State of the Union
• Explore machine learning on Apple platforms
• Introducing enterprise APIs for visionOS

These sessions provide a comprehensive overview of how Apple Intelligence leverages hardware across different Apple devices.