CUDA
NVIDIA's programming platform — the deepest moat in the industry.
You're looking at a software record: a tool or platform in the AI stack — who maintains it and what hardware it runs on.
CUDA is how programs talk to NVIDIA GPUs: the compiler, runtime, and nearly two decades of libraries (cuDNN, cuBLAS, NCCL and hundreds more) that every major AI framework targets first. Launched in 2006, long before deep learning, it means a new accelerator must beat not a chip but an ecosystem — the reason 'CUDA moat' is shorthand for NVIDIA's position. It is free to use and runs only on NVIDIA hardware.
Specifications & key facts
Each figure is labeled by basis: vendor spec, vendor claim, reported, estimate, or official. "Not publicly disclosed" means exactly that — we never invent values.
Overview
How this connects to the rest of the stack
This record's links at a glance — click a group to jump to it.
Supports
Maintained by
Maintains
Competes with
Sources
Record reviewed as of 2026-01-15 — see Methodology.