As bubblethink already mentioned, the article is arguing that batch processing jobs (e.g. those characteristic of Deep Learning) don't benefit substantially from cloud infrastructure.
High availability, edge processing, fast network upload, and the lego blocks for creating redundancy are moot.
Most training algorithms automatically recover if a node goes down. That covers all required failure handling.
As bubblethink already mentioned, the article is arguing that batch processing jobs (e.g. those characteristic of Deep Learning) don't benefit substantially from cloud infrastructure.
High availability, edge processing, fast network upload, and the lego blocks for creating redundancy are moot.
Most training algorithms automatically recover if a node goes down. That covers all required failure handling.