Red Hat launches advanced OpenShift AI platform for hybrid cloud environments
Red Hat, a provider of open source solutions, unveiled advancements in its Red Hat OpenShift AI platform, a hybrid artificial intelligence (AI) and machine learning (ML) solution. Designed on the foundation of Red Hat OpenShift, the platform facilitates the development and deployment of AI-enabled applications across hybrid cloud environments.
The company says the updates emphasize Red Hat’s dedication to offering customers a range of choices in the realm of intelligent workloads, from hardware to essential tools like Jupyter and PyTorch.
Red Hat notes that many enterprises encounter obstacles when transitioning AI models from experimental phases to full-scale production. These challenges include escalating hardware expenses, apprehensions regarding data privacy, and hesitations in adopting SaaS-based models. Meanwhile, the landscape of generative AI is evolving, leaving organizations grappling with the establishment of a dependable core AI platform adaptable to on-premise or cloud setups.
According to IDC, enterprises aiming to leverage AI must modernize existing applications and data environments, bridge gaps between different systems and storage platforms, enhance infrastructure sustainability, and carefully strategize workload deployments across various cloud, data center, and edge locations.
The latest iteration of the platform, Red Hat OpenShift AI 2.9, introduces several enhancements including edge model serving and expands AI model deployment to remote locations using single-node OpenShift.
It also offers enhanced model serving that supports both predictive and generative AI, featuring support for KServe, a kubernetes resource definition orchestrating serving for all model types, alongside other serving engines like vLLM and text generation inference server (TGIS).
Red Hat expands AI integration across platforms for enhanced hybrid cloud solutions
Elsewhere, Red Hat also announced the expansion of Red Hat Lightspeed across its platforms. This move aims to integrate enterprise-ready AI throughout Red Hat’s hybrid cloud portfolio. Red Hat OpenShift Lightspeed and Red Hat Enterprise Linux Lightspeed will now incorporate intelligent, natural language processing capabilities.
The enhancements are tailored to enhance usability for newcomers and improve efficiency for seasoned professionals utilizing Red Hat’s enterprise-grade Linux and cloud-native application platforms. By integrating generative AI, Red Hat aims to boost the productivity and efficiency of teams utilizing these platforms.
The introduction of Red Hat Lightspeed in the Red Hat Ansible Automation Platform aims to address skills gaps and complexity in enterprise IT, particularly as hybrid cloud adoption continues to rise. It enables users to work more accurately and efficiently while allowing IT teams to focus on driving innovation, according to the company. With Red Hat Lightspeed now integrated across Red Hat’s core platforms, users can leverage Red Hat’s extensive knowledge in open source technologies within mission-critical environments, enhancing the value of a Red Hat subscription.
“Red Hat’s commitment to enterprise AI across the hybrid cloud isn’t limited to providing the platforms for building, running and deploying AI workloads, but also the capabilities inherent to underlying platforms,” says Ashesh Badani, senior vice president and chief product officer at Red Hat.
“Red Hat Lightspeed puts AI to work, instantly, enabling the rapid acquisition of new skills while scaling existing expertise, from building the foundation of the hybrid cloud with Red Hat Enterprise Linux to bringing cloud-native applications to life with Red Hat OpenShift to managing distributed environments with Red Hat Ansible Automation Platform. Red Hat Lightspeed puts production-ready AI into the hands of the users who can deliver the most innovation more quickly: the IT organization.”
Red Hat OpenShift, the hybrid cloud application platform powered by kubernetes, is widely adopted across various departments and teams with diverse roles and skill sets. OpenShift Lightspeed utilizes generative AI to simplify application lifecycle management and resource scaling on OpenShift clusters. This enables both novices and experts to leverage the platform effectively, whether it’s for deploying traditional or cloud-native applications.
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