Old Big Blue is in the game of competing in the fast developing artificial intelligence & machine learning business! This seems to be a serious offering!
"... CodeFlare is aimed at simplifying the AI iteration process with specific elements for scaling data workflows. It’s built on top of Ray, the University of California, Berkeley RISE Lab’s open source distributed computing system for AI apps, and it emerged from a project in the IBM group responsible for creating one of the world’s first prototype 2-nanometer chips. ...
“CodeFlare takes the notion of simplified machine learning … one step further, going beyond isolated steps to seamlessly integrate end-to-end pipelines with a data scientist friendly interface — like Python, not containers,” ... “CodeFlare differentiates itself by making it simpler to integrate and scale full pipelines with a unified runtime and programming interface.”
CodeFlare offers a Python-based interface for managing pipelines across multiple platforms. Pipelines can be parallelized and shared within most compute environments, as well as integrated and bridged with other cloud-native ecosystems via adapters. ...
CodeFlare offers a Python-based interface for managing pipelines across multiple platforms. Pipelines can be parallelized and shared within most compute environments, as well as integrated and bridged with other cloud-native ecosystems via adapters. ...
IBM claims CodeFlare can cut the time to execute analysis and optimization of 100,000 training pipelines from four hours to 15 minutes. The company says it’s working with customers to integrate CodeFlare into their software streams, as well as using it internally in its own AI research.
As of today, CodeFlare is available in open source, along with a series of technical blog posts on how it works and what developers need to get started. ..."
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