Tag Archives: explained

Like FreeBSD Jails and Solaris Zones, Linux containers are self-contained execution environments—with their own, isolated CPU, memory, block I/O, and network resources—that share the kernel of the host operating system. The result is something that feels like a virtual machine, … Continue reading →

When Google first told the world about its Tensor Processing Unit, the strategy behind it seemed clear enough: Speed machine learning at scale by throwing custom hardware at the problem. Use commodity GPUs to train machine-learning models; use custom TPUs … Continue reading →