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Tag: Ion Stoica

The Spark-to-Ray Migration That Will Save Amazon $100M+ Per Year

When Ray first emerged from the UC Berkeley RISELab back in 2017, it was positioned as a possible replacement for Apache Spark. But as Anyscale, the commercial outfit behind Ray, scaled up its own operations, the “Ray Read more…

Ion Stoica’s First Startup Ready to Spread Streaming Data Wings

Before co-creating Apache Spark and co-founding Databricks, computer scientist Ion Stoica co-founded Conviva, a video streaming startup used by publishers like NBC and Disney+ to track user metrics and quality of service Read more…

Anyscale Branches Beyond ML Training with Ray 2.0 and AI Runtime

Anyscale today came one step closer to fulfilling its goal of enabling any Python application to scale to an arbitrarily large degree with the launch of Ray 2.0 and the Ray AI Runtime (Ray AIR). The company also announce Read more…

Anyscale Nabs $100M, Unleashes Parallel, Serverless Computing in the Cloud

With a fresh $100 million in the bank and $1 billion valuation, UC Berkeley’s RISELab alum Anyscale is now set to scale up its business as the latest data unicorn. The company also announced the general availability of Read more…

From Amazon to Uber, Companies Are Adopting Ray

What if you could use your favorite machine learning library to code an AI program on your laptop, and have it automatically transferred to run in a massive, distributed fashion on the cloud? That’s the general idea be Read more…

The Next Data Revolution: Intelligent Real-Time Decisions

Over the past decade, big data analysis and applications have revolutionized practices in business and science. They enabled new businesses (e.g., Facebook, Netflix), to disrupt existing industries (e.g., Airbnb, Uber), Read more…

AMPLab Releases Succinct, A New Way to Query Data in Spark

The folks at UC Berkeley's' AMPLab are starting to talk publicly about Succinct, a fast new in-memory data store aimed at enabling users to query large amounts of compressed data, in a fast and direct fashion. Early test Read more…

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