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Dell-Red Hat Collaboration to Fuel Open Source AI Workloads on Dell PowerEdge and Red Hat Enterprise Linux AI

Dell-Red Hat

The collaboration will help organizations more readily implement successful artificial intelligence and machine learning (AI/ML) strategies to scale their IT systems and power enterprise applications across their businesses.

Dell Technologies and Red Hat have agreed to bring Red Hat Enterprise Linux AI (RHEL AI), a foundation model platform built on an AI-optimized operating system that enables users to more seamlessly develop, test and deploy artificial intelligence (AI) and generative AI (genAI) models, to Dell PowerEdge servers. This joint effort establishes RHEL AI as a preferred platform on the Dell PowerEdge R760xa server.

This collaboration helps organizations more readily implement successful artificial intelligence and machine learning (AI/ML) strategies to scale their IT systems and power enterprise applications across their businesses. Dell and Red Hat are providing a more consistent AI experience on optimized, AI-enabled hardware solutions, all delivered on the trusted platform of RHEL AI on Dell PowerEdge. This initiative aims to simplify the AI experience for users by continuously testing and validating hardware solutions, including NVIDIA accelerated computing, with RHEL AI.

This collaboration presents an opportunity for Indian enterprises to explore future-ready offerings with Dell Technologies which can support their journey towards the future of work, with the tools needed to innovate and scale.”

Anil Sethi, Vice President, Infrastructure Solutions Group, Dell Technologies India

RHEL AI brings together  open source-licensed Granite large language models (LLMs)  from IBM Research, InstructLab model alignment tools based on the LAB (Large-scale Alignment for chatBots) methodology and a community-driven approach to model development through the InstructLab project. The solution is packaged as an optimized, bootable Red Hat Enterprise Linux (RHEL) image for individual server deployments across the hybrid cloud and is included as part of Red Hat OpenShift AI, Red Hat’s hybrid cloud machine learning operations (MLOps) platform, for running models and InstructLab at scale across distributed cluster environments.

RHEL AI on Dell PowerEdge servers will be available in Q3 2024. Test drive the solution in Dell Customer Solution Centers located globally.

 “AI by nature requires extensive resources spanning enabled servers, compute power and GPUs. As organizations evaluate and implement genAI use cases, it is imperative that they build on a platform that is able to scale with their business while also providing the agility to experiment and develop AI-driven innovations. By collaborating with Dell Technologies to validate and empower RHEL AI on Dell PowerEdge servers, we are enabling customers with greater confidence and flexibility to harness the power of genAI workloads across hybrid cloud environments and propel their business into the future,” said Joe Fernandes, vice president and general manager, Generative AI Foundation Model Platforms, Red Hat.

Anil Sethi, Vice President, Infrastructure Solutions Group, Dell Technologies India, said, “Dell Technologies’ collaboration with Red Hat on AI is an exciting update for businesses across the globe, focused on creating their mark through digital transformation. RHEL AI will be facilitating seamless enterprise development, testing, and deployment of AI and GenerativeAI modelsempowering businesses with cutting-edge technology. Integrating RHEL AI with our advanced PowerEdge servers provides a robust, validated platform that simplifies AI adoption and accelerates digital transformation. As AI-driven strategies gain momentum, this initiative will help businesses harness AI’s full potential and drive growth in a dynamic digital landscape. This collaboration presents an opportunity for Indian enterprises to explore future-ready offerings with Dell Technologies which can support their journey towards the future of work, with the tools needed to innovate and scale.”

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