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…

Scaling to Great Heights at the Ray Summit

If you haven’t yet heard about Ray, the open source Python framework for building distributed applications, then next week’s Ray Summit will provide a compelling introduction to what might be one of the cornerstone t Read more…

Datanami People to Watch 2020

We present the Datanami People to Watch for 2020. Read more…

Why Every Python Developer Will Love Ray

There are many reasons why Python has emerged as the number one language for data science. It's easy to get started and relatively forgiving for beginners, yet it's also powerful and extensible enough for experts to take Read more…

Meet Ray, the Real-Time Machine-Learning Replacement for Spark

Researchers at UC Berkeley's RISELab have developed a new distributed framework designed to enable Python-based machine learning and deep learning workloads to execute in real-time with MPI-like power and granularity. Ca Read more…