RHEL AI on Dell PowerEdge with validated support for NVIDIA accelerated computing

Optimizing AI/ML strategies with RHEL AI as a preferred Platform on Dell PowerEdge R760xa server

Overview

Customers exploring Generative AI often encounter several adoption challenges, such as adaptability and speed, resourcing constraints, costs, compliance, regulatory, and security concerns. Typically users want to experiment with large language models before developing and scaling out a much larger production environment. This collaboration empowers organizations to overcome these hurdles, enabling them to implement successful AI/ML strategies that scale IT systems and drive enterprise applications across their businesses.

Dell and Red Hat are delivering a consistent AI experience by providing an optimized, secure, and cost-effective single-server environment for exploring large language models (LLMs) on the trusted platform Red Hat Enterprise Linux AI (RHEL AI) on Dell PowerEdge. Together, Dell Technologies and Red Hat are bringing RHEL AI—a foundation model platform optimized for AI development, testing, and deployment—on the Dell PowerEdge R760xa server. This initiative simplifies AI adoption by continuously testing and validating hardware solutions, including NVIDIA accelerated computing.

Optimized Performance for AI Workloads
  • High-Performance Hardware: Dell PowerEdge servers are equipped with powerful GPUs (e.g., NVIDIA H100, A100) and advanced processors, optimized for AI/ML tasks. These servers deliver the computational power necessary for training complex models, real-time inferencing, and large-scale data analytics.
  • Scalability: Dell PowerEdge servers can scale to meet the growing demands of AI workloads, supporting multiple GPUs and high-density configurations to accelerate AI model training and deployment.
Enterprise-Grade Reliability and Support
  • Proven Stability with RHEL: Red Hat Enterprise Linux is a trusted, enterprise-grade operating system known for its stability, security, and performance. Pairing it with Dell PowerEdge ensures a reliable platform for running mission-critical AI applications.
  • Integrated Support: Customers benefit from integrated support from both Dell and Red Hat, ensuring that any issues with hardware or software are addressed quickly and efficiently.
Comprehensive AI/ML Ecosystem
  • AI-Ready Infrastructure: Dell PowerEdge servers provide an AI-ready infrastructure that supports popular AI frameworks, tools, and libraries, such as TensorFlow, PyTorch, and Apache Spark, all optimized for RHEL.
  • Containerization and Orchestration: With RHEL, customers can leverage containerization (e.g., Podman) and orchestration tools (e.g., OpenShift) to streamline the deployment and management of AI/ML workloads across hybrid and multi-cloud environments.
Cost-Effective AI Innovation
  • Flexible Deployment Options: Customers can deploy Dell PowerEdge servers with RHEL in on-premises data centers, at the edge, or in hybrid cloud environments, providing flexibility and cost-efficiency.
  • Open Source Innovation: By using RHEL, customers gain access to the latest open-source innovations in AI/ML, allowing them to stay competitive and avoid vendor lock-in while managing costs.
Simplified Management and Automation
  • Unified Management: Dell PowerEdge servers, combined with RHEL, offer unified management tools for monitoring, updating, and automating AI workloads, reducing operational complexity and freeing up resources for innovation.
  • Automation with Ansible: RHEL’s integration with Ansible allows for automated deployment, configuration, and management of AI/ML environments, further reducing the time and effort required to maintain AI infrastructure.

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About Red Hat Ecosystem Catalog

The Red Hat Ecosystem Catalog is the official source for discovering and learning more about the Red Hat Ecosystem of both Red Hat and certified third-party products and services.

We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge.