There is no real middle ground when it comes to TensorFlow use cases. Most implementations take place either in a single node or at the drastic Google-scale, with few scalability stories in between.

Ideally, you’d use a computer with a GPU but that’s optional, the difference being between three or twenty-four hours of training.

Intel adds its new Data Center GPU Flex Series to Pluggable Devices, something Intel is calling Intel Extension for TensorFlow, available right now.