Google Cloud said that organisations including Nvidia, Cisco, and Intel are among the companies working closely to adopt Kubeflow Pipelines.
Google Cloud AI Hub: One-Stop Destination for Plug-and-Play ML Content
Kaustubh Das, VP for data centre product management at Cisco, said: “Cisco’s significant contributions to Kubeflow aims to simplify hybrid/multi cloud AI/ML lifecycle management”, adding that Pipeline “promises a radical simplification of ML workflows which are critical for mainstream adoption”.
Nvidia is currently integrating RAPIDS, its new suite of open source data libraries, into Kubeflow.
Google Cloud said it hopes to address a lack of machine learning knowledge in the workforce that makes it challenging to build AI resources, part of its AI principles.
“Our goal is to put AI in reach of all businesses,” the company said in a blog post. “But doing that means lowering the barriers to entry.
“That’s why we build all our AI offerings with three ideas in mind: Make them simple, so more enterprises can adopt them; make them useful to the widest range of oragnisations; and make them fast, so businesses can iterate and succeed more quickly.”
Along these lines, earlier this year Google Cloud announced AutoML Vision, allowing businesses and developers to create custom machine learning models for image recognition.
It also has Advanced Solutions Labs in five physical locations – Sunnyvale, New York, Dublin, Singapore, and Tokyo – for on-site collaboration with Google’s machine learning engineers.