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AI Freedom of Choice with Red Hat - Middle East Business News and Information

Mid East Info20-02-2025

Red Hat collaborates with NVIDIA, Lenovo, Microsoft, AWS, Dell, AMD and Intel
Red Hat continues to build upon its long-standing collaborations with major IT players to help customers implement and extend AI innovation across hybrid cloud environments. Red Hat Enterprise Linux AI (RHEL AI) and Red Hat OpenShift AI now offer a supported, optimised experience with a wide range of GPU-enabled hardware and software offerings from NVIDIA, Lenovo, Dell, Microsoft, AWS, Intel and others.
Artificial intelligence (AI) model training requires optimized hardware and powerful computation capabilities. AI platforms must also support a broad choice of accelerated compute architectures and GPUs. Customers can get more from RHEL AI and Red Hat OpenShift AI by extending it with other integrated services and products announced in the last eight months: RHEL AI on Lenovo ThinkSystem SR675 V3 servers
RHEL AI on Dell PowerEdge
RHEL AI support for AMD Instinct Accelerators
RHEL AI on Microsoft Azure
RHEL AI and Red Hat OpenShift AI on AWS
Red Hat OpenShift AI with Intel Gaudi AI and Intel Xeon and Core processors
Red Hat OpenShift with NVIDIA AI Enterprise
The Cloud is Hybrid. So is AI.
For 30 years, open source has been a driving force behind innovation. Red Hat has played a key role in this evolution, first with enterprise-grade Linux (RHEL) in the 2000s and later with Red Hat OpenShift for containers and Kubernetes. Today, Red Hat continues this journey with AI in the hybrid cloud.
AI models often need to run as close to an organization's data as possible to reduce latency and improve efficiency. This requires models to be supported wherever needed, from the datacenter to public clouds to the edge. AI platforms must be able to stretch across all of these footprints, seamlessly and without integration challenges. AI is the ultimate hybrid workload.

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Deloitte and AWS expand alliance to accelerate digital transformation across the Middle East - Middle East Business News and Information
Deloitte and AWS expand alliance to accelerate digital transformation across the Middle East - Middle East Business News and Information

Mid East Info

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  • Mid East Info

Deloitte and AWS expand alliance to accelerate digital transformation across the Middle East - Middle East Business News and Information

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HPE unveils new AI factory solutions built with NVIDIA to accelerate AI adoption at global scale - Middle East Business News and Information
HPE unveils new AI factory solutions built with NVIDIA to accelerate AI adoption at global scale - Middle East Business News and Information

Mid East Info

time5 days ago

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HPE unveils new AI factory solutions built with NVIDIA to accelerate AI adoption at global scale - Middle East Business News and Information

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Vertiv develops Energy-Efficient Cooling and Power Reference Architecture for the NVIDIA GB300 NVL72 Platform
Vertiv develops Energy-Efficient Cooling and Power Reference Architecture for the NVIDIA GB300 NVL72 Platform

Mid East Info

time16-06-2025

  • Mid East Info

Vertiv develops Energy-Efficient Cooling and Power Reference Architecture for the NVIDIA GB300 NVL72 Platform

Available as SimReady™ Assets in NVIDIA Omniverse Blueprint for AI Factory Design and Operations New design demonstrates end-to-end energy-efficient cooling and power to support densities up to 142kW per rack Vertiv (NYSE: VRT), a global leader in critical digital infrastructure, announced their energy-efficient 142kW cooling and power reference architecture for the NVIDIA GB300 NVL72 platform. In addition to fully integrated end-to-end cooling and power strategies for this next generation platform, the reference architecture unlocks a new era of infrastructure design by shifting from traditional buildouts. Vertiv solutions are available as SimReady™ 3D assets in the NVIDIA Omniverse Blueprint for AI factory design and operations. The reference architecture can be customized for bespoke data center designs to dramatically reduce planning times and reduce risk during the buildout process. Vertiv works with NVIDIA and its data center roadmaps, to develop AI infrastructure strategies and deployment-ready designs that anticipate increased rack power densities. For example, Vertiv is collaborating with NVIDIA to support 800 VDC data center power infrastructure for 1 MW IT racks and beyond, with Vertiv solutions available starting in 2026. 'Building upon our strong collaboration with NVIDIA and a shared vision to advance AI infrastructure, Vertiv is proud to release our comprehensive reference design and SimReady™ 3D assets for the NVIDIA GB300 NVL72 platform,' stated Scott Armul, executive vice president of global portfolio and business units at Vertiv. 'Vertiv solutions allow customers to not only scale faster, but to optimize their AI-focused data centers digitally before a single physical module is built.' 'By combining NVIDIA's advanced AI platforms with Vertiv's expertise in power and cooling infrastructure, we're enabling customers to deploy next-generation data centers that are more efficient, scalable, and ready for the most demanding AI workloads,' said Dion Harris, senior director of HPC and AI Infrastructure at NVIDIA. 'Together, we're helping organizations unlock new levels of performance and sustainability as they build the future of AI.' The reference architecture for NVIDIA GB300 NVL72 is part of the Vertiv™ 360AI infrastructure platform, designed to help customers navigate integrated solutions for powering and cooling AI workloads and other high-performance computing applications. Key benefits of Vertiv's reference architecture and SimReady™ 3D assets for the NVIDIA GB300 NVL72 design include: Simulation to Deployment in One Path: Leveraging NVIDIA Omniverse technologies in the architecture bridges physical and digital infrastructure, enabling real-time system-level collaboration across IT, facilities, and engineering teams – allowing customers to test, optimize and validate the design before a single component is built. Leveraging NVIDIA Omniverse technologies in the architecture bridges physical and digital infrastructure, enabling real-time system-level collaboration across IT, facilities, and engineering teams – allowing customers to test, optimize and validate the design before a single component is built. Built for the Age of AI Reasoning: Supporting rack densities up to 142kW, the reference architecture for NVIDIA GB300 NVL72 defines the new benchmark for accelerated infrastructure — engineered for AI factories at scale. Supporting rack densities up to 142kW, the reference architecture for NVIDIA GB300 NVL72 defines the new benchmark for accelerated infrastructure — engineered for AI factories at scale. Accelerated Performance, Scale, and Speed: Delivering 1.5x more AI performance, up to 50% faster on-site builds and in 30% less physical space, Vertiv's reference architecture for NVIDIA GB300 NVL72 enables customers to scale AI infrastructure with unprecedented agility and energy efficiency. Delivering 1.5x more AI performance, up to 50% faster on-site builds and in 30% less physical space, Vertiv's reference architecture for NVIDIA GB300 NVL72 enables customers to scale AI infrastructure with unprecedented agility and energy efficiency. Thermal Flexibility Meets Efficiency Gains: Liquid cooling-ready, supporting both air- and hybrid- cooled configurations, achieves up to 70% better annual energy efficiency allowed by higher water Liquid cooling-ready, supporting both air- and hybrid- cooled configurations, achieves up to 70% better annual energy efficiency allowed by higher water Design, Deploy, Operate – Globally: Backed by 4,000+ Vertiv field service engineers globally, Vertiv's reference architecture for GB300 NVL72 brings unmatched scalability, serviceability, and supply chain reliability to global AI rollouts. As global AI demand accelerates exponentially, Vertiv is constantly working to deliver critical energy-efficient cooling and power solutions, to enable AI-ready infrastructure to run the next generation of AI factories. To learn more, visit

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