What is metal
Generated on 8/1/2024
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Metal is a modern graphics and compute API designed and optimized for Apple devices. It provides a wide range of advanced features for both graphics rendering and general-purpose computing. Metal is used extensively in various applications, including game development and machine learning.
Key Features of Metal:
- Graphics Rendering: Metal offers advanced graphics features such as ray tracing, resource residency, and MetalfX for upscaling images. These features help in rendering high-quality graphics efficiently on Apple devices.
- Compute API: Metal also serves as a compute API, enabling the acceleration of machine learning tasks. It supports frameworks like TensorFlow, PyTorch, and JAX, providing features like just-in-time compilation, mixed precision training, and distributed training.
- Integration with ML Frameworks: Metal is integrated with machine learning frameworks through Metal Performance Shaders (MPS) and MPS Graph, which provide low-level control over GPU synchronization and memory. This integration allows for efficient training and deployment of machine learning models on Apple silicon.
Relevant Sessions:
- Train your machine learning and AI models on Apple GPUs
- Port advanced games to Apple platforms
- Accelerate machine learning with Metal
- Explore machine learning on Apple platforms
These sessions cover various aspects of using Metal for both graphics and machine learning, providing detailed insights and practical examples.
Explore machine learning on Apple platforms
Get started with an overview of machine learning frameworks on Apple platforms. Whether you’re implementing your first ML model, or an ML expert, we’ll offer guidance to help you select the right framework for your app’s needs.
Train your machine learning and AI models on Apple GPUs
Learn how to train your models on Apple Silicon with Metal for PyTorch, JAX and TensorFlow. Take advantage of new attention operations and quantization support for improved transformer model performance on your devices.
Accelerate machine learning with Metal
Learn how to accelerate your machine learning transformer models with new features in Metal Performance Shaders Graph. We’ll also cover how to improve your model’s compute bandwidth and quality, and visualize it in the all new MPSGraph viewer.
Port advanced games to Apple platforms
Discover how simple it can be to reach players on Apple platforms worldwide. We’ll show you how to evaluate your Windows executable on Apple silicon, start your game port with code samples, convert your shader code to Metal, and bring your game to Mac, iPhone, and iPad. Explore enhanced Metal tools that understand HLSL shaders to validate, debug, and profile your ported shaders on Metal.