Red Hat OpenShift Data Science Debuts
November 22, 2021
Hat OpenShift Data Science as a field trial is gearing up and the firm has
expanded their partner ecosystem focused on this new cloud service offering. As
leading artificial intelligence and machine-learning (AI/ML) partners support
the service, Red Hat customers are provided with a range of solutions optimized
for Red Hat OpenShift, letting them select the technologies to best meet their
specific machine learning needs across the open hybrid cloud and edge computing
Accelerated computing support through the use of NVIDIA GPU technology, which can enable data scientists to scale their computationally expensive neural networks to large, complex architectures without sacrificing productivity. This allows data scientists to cut down the time spent on training models with minimal code changes.
In addition to Intel and NVIDIA, Red Hat OpenShift Data Science includes
support from several other leading AI/ML partners, including:
IBM Watson Studio with AutoAI to build, run, and manage AI models at scale;
Seldon Deploy to simplify and accelerate deploying, managing and monitoring machine learning models, and
Starburst Galaxy to unlock the value of your data by making it faster and easier to access data across the hybrid cloud.
As enterprises invest in AI/ML to drive business decisions and gain actionable insights from data, we have seen a highly-competitive marketplace for MLOps solutions that strive to operationalize the ML lifecycle. Red Hat OpenShift Data Science offers enterprise customers a customizable alternative to prescriptive AI/ML solutions, through its open workflow platform including Jupyter notebooks and common frameworks including Pytorch and Tensorflow, and complemented by access to certified partner technology from Red Hat Marketplace.