Red Hat Introduces AI for the Open Hybrid CloudRed Hat OpenShift AI Accelerates Generative AI Adoption Across the Hybrid Cloud
Red Hat, Inc., the world's leading provider of
open source solutions announced new capabilities for Red Hat OpenShift AI.
Building and expanding upon the proven capabilities of Red Hat OpenShift and
Red Hat OpenShift Data Science, Red Hat OpenShift AI provides a consistent,
scalable foundation based on open source technology for IT operations leaders
while bringing a specialized partner ecosystem to data scientists and
developers to capture innovation in AI. To that end, Red Hat OpenShift AI
underpins the generative AI services of IBM watsonx.ai, IBM’s artificial
intelligence platform designed to scale intelligent applications and services
across all aspects of the enterprise, fueling the next generation of foundation
models. As Large Language Models (LLMs) like GPT-4 and LLaMA become mainstream, researchers and application developers across all domains and industries are exploring ways to benefit from these, and other foundation models. Customers can fine tune commercial or open source models with domain-specific data to make them more accurate to their specific use cases. The initial training of AI models is incredibly infrastructure intensive, requiring specialized platforms and tools even before serving, tuning and model management are taken into consideration. Without a platform that can meet these demands, organizations are often limited in how they can actually use AI/ML. OpenShift AI addresses these challenges by providing the infrastructure consistency across training, deployment and inference to unlock the potential of AI. AI for the open hybrid cloud Red Hat OpenShift AI provides several optional technology partner offerings including Anaconda, IBM Watson Studio, Intel OpenVINO and AI Analytics Toolkit, NVIDIA AI Enterprise and Starburst. It also provides access to 30 additional AI/ML certified partners as part of the OpenShift ecosystem. Customers with specific regulatory and compliance requirements, including air-gapped and disconnected environments, can prepare data, and develop, train and deploy models on-premises using OpenShift AI. Customers can also develop models in the public cloud, and deploy them on-premises or at the edge using the same consistent tooling and interfaces, providing a unique, hybrid MLOps environment that enables collaboration between IT operations, data science and application developers. The proven foundation of OpenShift AI enables customers to more reliably scale to train foundation models using OpenShift’s native GPU acceleration features on-premises or via a cloud service. Recent enhancements to Red Hat OpenShift AI include:
OpenShift AI powers IBM watsonx
and Ansible Lightspeed Ansible Lightspeed brings the power of IBM Watson Code Assistant to Ansible, empowering users of all skill levels to write Ansible Playbooks with AI-generated recommendations. Ansible Lightspeed enables a productivity boost for Ansible users, enabling them to use English language commands to create an Ansible Playbook, regardless of their proficiency level in automation. Across industries, enterprises are already using Red Hat OpenShift AI to fuel AI/ML innovation, including:
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