Article 3JYQW Amazon SageMaker goes for “Infinitely Scalable” Machine Learning

Amazon SageMaker goes for “Infinitely Scalable” Machine Learning

by
staff
from High-Performance Computing News Analysis | insideHPC on (#3JYQW)
0-3-150x150.jpg

Over at the All Things Distributed blog, Werner Vogels writes that the new Amazon SageMaker is designed for building machine learning algorithms that can handle an infinite amount of data. "To handle unbounded amounts of data, our algorithms adopt a streaming computational model. In the streaming model, the algorithm only passes over the dataset one time and assumes a fixed-memory footprint. This memory restriction precludes basic operations like storing the data in memory, random access to individual records, shuffling the data, reading through the data several times, etc."

The post Amazon SageMaker goes for "Infinitely Scalable" Machine Learning appeared first on insideHPC.

External Content
Source RSS or Atom Feed
Feed Location http://insidehpc.com/feed/
Feed Title High-Performance Computing News Analysis | insideHPC
Feed Link https://insidehpc.com/
Reply 0 comments