If a CPU is a race car, a GPU is a cargo truck. The main job in deep learning is to fetch and move cargo (memory, actually) around. Both devices can do this job, but in different ways. A race car ...

TechRadar explains Tensor Cores, the Nvidia GPU technology in detail, so you can better understand the inner workings of your ...

Originally created by Meta, PyTorch has become an important tool for machine learning and people developing AI models ...

The evolution of processors from general computing to AI acceleration has led to specialised GPUs, TPUs, and NPUs, optimising machine learning for faster, more efficient performance. Here we talk ...

resulting in higher GPU utilization.) The journey to DeepSeek-R1’s final iteration began with an intermediate model, DeepSeek-R1-Zero, which was trained using pure reinforcement learning.

With its first Xe discrete graphics product, Intel is introducing a new software framework called Deep Link that aggregates CPU and GPUs to accelerate ... will deliver the best experience ...