Facebook’s Expanding Machine Learning Infrastructure
Here at The Next Platform, we tend to keep a close eye on how the major hyperscalers evolve their infrastructure to support massive scale and evermore complex workloads.
Not so long ago the core services were relatively standard transactions and operations, but with the addition of training and inferencing against complex deep learning models—something that requires a two-handed approach to hardware—the hyperscale hardware stack has had to quicken its step to keep pace with the new performance and efficiency demands of machine learning at scale.
While not innovating on the custom hardware side quite the same way as Google, …
Facebook’s Expanding Machine Learning Infrastructure was written by Nicole Hemsoth at The Next Platform.
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