Compute

Evolving GPUs Power Content Recommendation at Scale

Although there are now well-engineered systems that tightly package compute, acceleration, and data movement for deep learning training, for some users, working on time-critical AI training (and constant retraining), the backend applications and frameworks require a different way of thinking.

HPC

One Way To Bring DPU Acceleration To Supercomputing

That is not a typo in the title. We did not mean to say GPU in title above, or even make a joke that in hybrid CPU_GPU systems, the CPU is more of a serial processing accelerator with a giant slow DDR4 cache for GPUs in hybrid supercomputers these days – therefore making the CPU a kind of accelerator for the GPU.