Reliable GPU compute for large training & inference jobs

Authors: Nick Rutigliano , Argha C , Samartha Chandrashekar How we detect failing GPUs and network fabric, remediate machines automatically, and let long-running jobs survive hardware loss. Open Netflix, and the home screen is assembled for you: which rows appear, the order they appear in, the titles within them, and the artwork for each title are chosen by machine learning models trained on how hundreds of millions of members watch. Personalization is one of the most widely used things we build