MATLAB requires that an NVIDIA-supplied graphics driver be installed on your Mac in order to take full advantage of an NVIDIA GPU. NVIDIA has not released an Apple-approved graphics driver for macOS Mojave. For more information, please see this official statement from NVIDIA on NVIDIA's developer forums.

The impact on MATLAB is as follows:

Graphics

You can use MATLAB with an NVIDIA GPU on macOS Mojave and newer, however, graphics performance is degraded when compared to running MATLAB on previous releases of macOS.

Computational acceleration

NVIDIA-specific functionality such as CUDA is not available which means GPU Arrays, provided by Parallel Computing Toolbox and used by many products, will not work.

The following products have features that make use of CUDA functionality and these features will be impacted by the lack of an NVIDIA-supplied graphics driver:

Parallel Computing Toolbox
GPU Coder
Image Processing Toolbox
Deep Learning Toolbox
Statistics and Machine Learning Toolbox
Computer Vision System Toolbox
Signal Processing Toolbox
Communications Toolbox
Phased Array System Toolbox
Text Analytics Toolbox
Reinforcement Learning Toolbox

Frequently Asked Questions

MATLAB offers tools for real-time AI applications, including Simulink for modeling and simulation. It can be used for developing algorithms and control systems for autonomous vehicles, robots, and other real-time AI systems.

MATLAB Online™ provides access to MATLAB® from your web browser. With MATLAB Online, your files are stored on MATLAB Drive™ and are available wherever you go. MATLAB Drive Connector synchronizes your files between your computers and MATLAB Online, providing offline access and eliminating the need to manually upload or download files. You can also run your files from the convenience of your smartphone or tablet by connecting to MathWorks® Cloud through the MATLAB Mobile™ app.

Yes, MATLAB provides tools and frameworks for deep learning, including the Deep Learning Toolbox. You can use MATLAB for tasks like building and training neural networks, image classification, and natural language processing.

MATLAB and Python are both popular choices for AI development. MATLAB is known for its ease of use in mathematical computations and its extensive toolbox for AI and machine learning. Python, on the other hand, has a vast ecosystem of libraries like TensorFlow and PyTorch. The choice depends on your preferences and project requirements.

You can find support, discussion forums, and a community of MATLAB users on the MATLAB website, Matlansolutions forums, and other AI-related online communities. Remember that MATLAB's capabilities in AI and machine learning continue to evolve, so staying updated with the latest features and resources is essential for effective AI development using MATLAB.

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