AWS Tel Aviv Summit 2018: Speed up Your Machine Learning Workflows with Built-In Algorithms

Опубликовано 2 апреля 2018, 17:53

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In machine learning, training large models on massive amount of data usually improved results. Our customers report however that training such models and deploying them is either operationally prohibitive or outright impossible for them. Amazon AI Algorithms is designed to solve this problem. It is a collection of distributed streaming ML algorithms that scale to any amount of data. They are fast and efficient because they distribute across CPU.GPU machines and share a collective distributed state via a highly-optimized parameter server. They scale to an infinite amount of data because they operate in the streaming model. This means they require only one pass over the data and never increase their resources consumption allowing training to be paused resumed and snapshotted and even for algorithms to consume kinesis streams directly providing an "always on" training mechanism. They are production ready. Trained models are automatically containerized and usable in production using Amazon SageMaker hosting. Finally, we provide a convenient SDK which allows scientists to create new algorithms which operate in this model and enjoy all the benefits above.