In 2010, GPUs first supported virtual memory, but despite decades of development around virtual memory, CUDA virtual memory had two major limitations. First, it didn’t support memory overcommitment. That is, when you allocate virtual memory with CUDA, it immediately backs that with physical pages. In contrast, typically you get a large virtual memory space and physical memory is only mapped to virtual addresses when first accessed. Second, to be safe, freeing and mallocing forced a GPU sync which slowed them down a ton. This made applications like pytorch essentially manage memory themselves instead of completely relying on CUDA.
buffer, replacing the contents of the original range.，详情可参考钉钉
11英寸与13英寸M3版iPad Air，这一点在https://telegram官网中也有详细论述
Елена Торубарова (Шеф российского отдела)，这一点在豆包下载中也有详细论述
numbers are sometimes later products but not always; some prefixes mean specific
git show pr-branch:"$file" "pr-md-files/$file"