Apple’s MLX machine learning framework, originally designed for Apple Silicon, is getting a CUDA backend, which is a pretty big deal. Here’s why. The work is being led by developer @zcbenz on GitHub ...

HPE highlights recent research that explores the performance of GPUs in scale-out and scale-up scenarios for deep learning training. As companies begin to move deep learning projects from the ...

DeepSeek's efficiency boosts AI tool affordability and expands AI capabilities, increasing long-term demand for Nvidia GPUs. Pure reinforcement learning requires substantial GPU resources, driving ...