Benchmarking evaluates Apple Silicon's performance against NVIDIA CUDA in high-performance computing workloads, suggesting potential advantages.
Evaluates Apple Silicon (M4 Ultra) as a sovereign alternative to NVIDIA CUDA for GPU-accelerated HPC. Through analysis of the OpenFPM Metal pipeline and projected benchmarks across N-body, SPH, FFT, and sparse matrix workloads, finds Apple Silicon excels in memory-bound simulations exceeding 48GB but achieves 20-50% of equivalent CUDA performance for compute-bound workloads.
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Yahya Saqban (2026) studied this question.
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