CUDA Toolkit 12.6 is a significant update that builds upon the foundation established by its predecessors. Some of the key new features and improvements include:
A major shift in this release is the default Linux driver installation, which now prefers NVIDIA GPU Open Kernel Modules over proprietary ones for Turing and newer GPUs. New APIs and Developer Tools cuda toolkit 12.6
| Workload | GPU | Change vs 12.4 | | :--- | :--- | :--- | | Matrix Multiply (FP32) | RTX 4090 | +3.2% | | RAPIDS cuDF (GroupBy) | A100 40GB | +2.1% | | cuBLAS Batched GEMM | H100 | +7.5% | | Thrust Sort (1B ints) | RTX 4080 | -0.5% (Noise) | CUDA Toolkit 12
Key libraries including cuBLAS, cuFFT, cuSOLVER, and cuSPARSE received significant updates to improve efficiency in mathematical computations. It doesn't reinvent GPU programming, but it polishes
It doesn't reinvent GPU programming, but it polishes the rough edges of the 12.x series into a very stable, performant platform. The driver requirement is steep, but if you can meet it, you'll enjoy a faster, more reliable CUDA experience.