Today OctoML , provider of a machine learning acceleration platform, released a major platform expansion in order to accelerate the development of AI-powered applications by eliminating bottlenecks in machine learning development. 

This release is intended to enable app developers and IT operations teams to transform trained machine learning models into agile, portable, production-ready software functions that integrate with their existing application stacks and DevOps workflows.

According to OctoML, the platform expansion will help to conquer the challenges of enterprise software development by abstracting out complexities, stripping away dependencies, and delivering models as production-ready software functions.

“AI has the potential to change the world, but it first needs to become sustainable and accessible,” said Luis Ceze, CEO of OctoML. “Today’s manual, specialized ML deployment workflows are keeping application developers, DevOps engineers and IT operations teams on the sidelines. Our new solution is enabling them to work with models like the rest of their application stack, using their own DevOps workflows and tools. We aim to do that by giving customers the ability to transform models into performant, portable functions that can run on any hardware.”

A few key features of this platform expansion include: 

“NVIDIA Triton is the top choice for AI inference and model deployment for workloads of any size, across all major industries worldwide,” said Shankar Chandrasekaran, product marketing manager at NVIDIA. “Its portability, versatility and flexibility make it an ideal companion for the OctoML platform.”

Katie Dee is a graduate of SUNY Oneonta where she studied english with a heavy focus on writing and editing. Her passion for writing and interest in tech led her to become an Online and Social Media Editor for SD Times. She is also a lifelong dancer and was a member of the Oneonta State Kickline Team while in school.

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