126 !!top!! — Cuda Toolkit

: It maintains excellent support for the latest Linux distributions (Ubuntu 24.04, RHEL 9) and Windows 11, though Windows users should still be prepared for the usual large installation footprint (multi-GB). Final Verdict

The primary reason to move to is efficiency . As AI models grow in size, the ability to squeeze every bit of performance out of the hardware is the difference between a project taking days or weeks to train. With 12.6, the focus on FP8 support and Graph performance directly addresses the bottlenecks faced by modern data scientists. cuda toolkit 126