Dell Technologies and Red Hat team up to

Bring generative AI to PowerEdge servers

Dell Technologies and Red Hat Collaborate to Bring Generative AI to PowerEdge Servers

Dell Technologies and Red Hat have partnered to bring Red Hat Enterprise Linux AI (RHEL AI) to Dell PowerEdge servers. This joint effort aims to simplify the development, testing, and deployment of generative AI models across hybrid cloud environments.

As businesses increasingly adopt AI, this collaboration provides them with a reliable path to scale machine learning operations and boost enterprise efficiency.

A Scalable Path for Enterprise AI

Joe Fernandes, VP and GM of Red Hat’s Generative AI Foundation Model Platforms, noted that AI inherently demands vast resources, including powerful servers, GPUs, and compute capacity. Therefore, companies must adopt platforms that offer both flexibility and scalability.

To address this, Fernandes emphasized that their partnership with Dell validates and empowers RHEL AI on PowerEdge servers. As a result, enterprises can confidently deploy GenAI workloads and accelerate innovation across hybrid cloud setups.

Enhancing Consistency with Optimized Hardware

Together, Dell and Red Hat are delivering a seamless AI experience on AI-optimized hardware. By continuously testing and validating solutions such as Nvidia’s accelerated computing with RHEL AI, they ensure optimal performance and compatibility.

Moreover, this consistent integration minimizes setup challenges and speeds up AI adoption across industries.

Nvidia Joins the Conversation

According to Bob Pette, Vice President of Nvidia’s enterprise platforms, today’s fast-moving markets require validated AI-ready solutions. These tools are crucial for companies wanting to launch GenAI use cases quickly.

He further highlighted that Dell and Red Hat are extending GenAI capabilities by optimizing support for Nvidia H100 Tensor Core GPUs. Combined with PowerEdge servers and RHEL AI, this ecosystem allows enterprises to run AI applications at scale.

Inside the RHEL AI Stack

The RHEL AI platform merges several powerful technologies:

• Granite large language models (LLMs) from IBM Research

• InstructLab, which uses the Large-scale Alignment for ChatBots (LAB) methodology

• A community-driven model development approach

This combination enables enterprises to train and deploy GenAI models efficiently using open-source tools.

Available in Q3: Built for the Hybrid Cloud

RHEL AI will be available as a bootable image in Q3 this year. Organizations can deploy it across hybrid cloud environments using individual server installations. Notably, it includes OpenShift AI, Red Hat’s hybrid cloud MLOps platform, which simplifies distributed AI model execution.

Dell’s Commitment to Reliability

Arun Narayanan, SVP of Dell Technologies, stated that validating RHEL AI for AI workloads on PowerEdge servers provides customers with added trust. They can be confident that their hardware, GPUs, and foundational platforms are continuously tested and optimized.

This, in turn, simplifies the user experience and accelerates GenAI deployment on a trusted software foundation.

By combining Red Hat’s open-source AI stack with Dell’s trusted infrastructure and Nvidia’s powerful GPUs, enterprises now have a validated path to scale generative AI across hybrid cloud environments.

This collaboration doesn’t just enable AI innovation, it accelerates it.

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