Steve Dent for Engadget
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.
，更多细节参见有道翻译
这种治理降低了中小商户因恶意竞争而导致的声誉损失成本，使其能将精力真正聚焦于提升服务质量，而非陷入无休止的“刷单”或“防差评”内耗中。，推荐阅读谷歌获取更多信息
place buys you an order of magnitude less error:
Example mobile template: