PIER 2.3 and 2.4 have the same functionality, L-1 said, but the 2.4 contains twice the on-board memory.
PIER 2.3和2.4的功能相同,但是2.4型号的内存要大一倍。
But these packages can run happily together with ten clients on one board without taxing its processor or memory. Here are a few open source packages I recommend.
这些包可以在一块系统板上与10台客户机很好地运行,而不会过度浪费处理器或内存。
The bottleneck is the memory on board GPU processors: it's fast, but not fast enough.
GPU处理器的瓶颈在于搭配的显存:虽然很快,但还是不够快。
应用推荐