mauro.zigliotto asked . 2024-05-28

Is there any forecast about a CUDA driver that can fully exploit the potential of the Apple MacBook M2 GPU?

I have a MacBook Pro M2 Max with an Nvidia GeForce® RTX™ 4070 GPU running macOS Sonoma 14.5. Matlab 2024a states that 'GPU acceleration with Parallel Computing Toolbox is not supported on macOS.' When do you foresee a step beyond this limitation?

Apple GPU and Parallel Computing Toolbox (Matlab),apple

Expert Answer

Prashant Kumar answered . 2024-12-21 16:07:23

As of now, there is no official CUDA driver specifically designed for the Apple MacBook M2 GPU. Let me provide some context:

Apple’s Custom GPU Architecture:
- The M1 and M2 chips in Apple’s MacBook lineup use custom-designed GPUs based on Apple’s specific needs.
- These GPUs are not directly compatible with NVIDIA’s CUDA framework, which traditionally powers GPU acceleration for machine learning workloads ¹.
Metal Library for GPU Support:
- Apple provides its own Metal library, which offers low-level APIs for enabling frameworks like TensorFlow, PyTorch, and JAX to utilize the built-in GPUs on M1 and M2 chips.
- While older Apple computers with dedicated GPUs (such as AMD chips) are not directly compatible with NVIDIA’s CUDA, the Metal library allows developers to harness the GPU’s capabilities ¹.
Recent Developments:
- PyTorch recently announced plans to add GPU support for ARM-based Mac processors (including M1 and M2).
- This means that in the near future, we may see better utilization of the M2 GPU for deep learning tasks using PyTorch ².
Current Limitations:
- As of now, if you’re specifically looking for CUDA compatibility, it’s important to note that macOS does not officially support CUDA.
- For deep learning tasks, consider using Metal-accelerated libraries and frameworks like TensorFlow with Metal support ¹.

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