LLMOPS & AI INFRASTRUCTURE • 286 / 397
Operate AI like production: serving, GPUs, latency, capacity, routing and reliability.
Tensor Parallelism
Tensor parallelism splits operations within model layers across multiple accelerators.
Think of it like
Think of Tensor Parallelism like familiar infrastructure capacity and traffic engineering, except the scarce resources are often tokens, GPU memory and model latency.
Real life
High-scale AI services depend on Tensor Parallelism to keep cost and latency under control.
SRE lens
Used when one model cannot fit or run fast enough on a single GPU.
Remember thisTensor parallelism splits operations within model layers across multiple accelerators.