What is meatl
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 rendering graphics and performing computations on Apple platforms. Metal is used extensively in various domains, including gaming and machine learning.
Key Features of Metal:
- Graphics Rendering: Metal offers advanced graphics rendering capabilities, including support for ray tracing and real-time reflections. It allows developers to create high-performance graphics applications and games.
- Compute API: Metal also serves as a compute API, enabling developers to perform general-purpose computations on the GPU. This is particularly useful for tasks like machine learning and scientific computations.
- Metal Performance Shaders (MPS): MPS is a framework built on top of Metal that provides optimized functions for machine learning and image processing. It includes MPS Graph, which allows for constructing and running general-purpose compute graphs using Metal.
- Unified Memory Architecture: Metal takes advantage of the unified memory architecture on Apple silicon, allowing for efficient data sharing between the CPU and GPU.
- Support for Machine Learning Frameworks: Metal supports various machine learning frameworks such as PyTorch, TensorFlow, and JAX, enabling efficient training and inference on Apple GPUs.
Relevant Sessions from WWDC:
- Train your machine learning and AI models on Apple GPUs
- Accelerate machine learning with Metal
- Port advanced games to Apple platforms
For more detailed information, you can refer to the specific sessions mentioned above.
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.
Bring your iOS or iPadOS game to visionOS
Discover how to transform your iOS or iPadOS game into a uniquely visionOS experience. Increase the immersion (and fun factor!) with a 3D frame or an immersive background. And invite players further into your world by adding depth to the window with stereoscopy or head tracking.
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.
Platforms State of the Union
Discover the newest advancements on Apple platforms.
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.
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.