MLOps & Infrastructure · beginner · concept 132 of 176
GPU & TPU Computing
GPUs (NVIDIA) and TPUs (Google) are the hardware that makes deep learning possible. Their parallel processing capabilities accelerate matrix operations by 100x+ versus CPUs. This is the same lineage as high-performance computing: AI clusters are supercomputers, ranked and benchmarked as such.
Key terms
CUDATensor coresHBMAccelerator generations (Hopper, Blackwell, Rubin)TPUParallelismHPC & supercomputing
Videos
▶ GPUs: Explained ↗
IBM Technology · YouTube
Guides and articles
Courses, papers, and more