NVIDIA stated that CUDA 13.1 is the biggest expansion of CUDA since it launched in 2006.
CUDA 13.1 introduces CUDA Tile, a new model that abstracts away complex hardware details, like Tensor Cores, making it easier to write efficient code for modern AI workloads.
I happen to be reading Jensen's biography. CUDA changed NVIDIA, and it also changed the world. This update will be the next chapter of that story :)
CUDA Tile abstraction is a game-changer for AI workload optimization. This could accelerate a new wave of infrastructure innovation.
Big move from NVIDIA. Excited to see what the community builds on top of this! ⚡
Monumental launch, NVIDIA team!
To call this the "biggest expansion since 2006" sets an incredibly high bar—excited to see the implications of this scope on large-scale AI training, especially in terms of memory management and inter-GPU communication efficiency.
Which specific kernel/scheduling enhancements should developers prioritize for the most immediate performance gains in existing workflows? Congrats on the release!
Hi everyone!
NVIDIA stated that CUDA 13.1 is the biggest expansion of CUDA since it launched in 2006.
CUDA 13.1 introduces CUDA Tile, a new model that abstracts away complex hardware details, like Tensor Cores, making it easier to write efficient code for modern AI workloads.
I happen to be reading Jensen's biography. CUDA changed NVIDIA, and it also changed the world. This update will be the next chapter of that story :)