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Empowering AI Innovation with HPE’s Advanced Supercomputing Solution

Empowering AI Innovation with HPE’s Advanced Supercomputing Solution

The News: Hewlett Packard Enterprise (HPE) launched a new software suite for AI development that leverages Cray supercomputing and NVIDIA technology. Read the full press release on the HPE website.

Empowering AI Innovation with HPE’s Advanced Supercomputing Solution

Analyst Take: HPE has made a ground-breaking announcement that stands to revolutionize the field of AI, particularly in generative AI for large enterprises, research institutions, and government organizations. This leap forward comes with the introduction of a comprehensive supercomputing solution designed to accelerate AI model training using private datasets, a critical aspect in today’s data-driven landscape.

HPE’s new offering is a holistic approach to AI development, encompassing hardware and software components. This solution’s core is a suite of software tools tailored to facilitate the training and tuning of AI models and the development of AI applications. This suite amalgamates AI/machine learning (ML) acceleration software, including the HPE Machine Learning Development Environment, NVIDIA AI Enterprise, and the HPE Cray Programming Environment. These tools collectively offer customers an unparalleled opportunity to train and fine-tune AI models more efficiently and create custom AI applications. The critical elements of the announcement are highlighted below.

Advanced Hardware Approach

The hardware aspect of HPE’s solution is equally impressive. It features liquid-cooled supercomputers and accelerated compute, networking, and storage capabilities designed to help organizations unlock AI value faster. The integration of HPE Cray supercomputing technology, which is based on the architecture used in the world’s fastest supercomputer and powered by NVIDIA Grace Hopper GH200 Superchips, is particularly noteworthy. This combination provides the scale and performance necessary for big AI workloads, such as large language model (LLM) and deep learning recommendation model (DLRM) training. The use of the HPE Machine Learning Development Environment on this system has already demonstrated its efficiency, fine-tuning the 70 billion-parameter Llama 2 model in under 3 minutes.

Performance and Sustainability

A key highlight of HPE’s solution is its focus on sustainability and energy efficiency. With AI workloads expected to require significant power within data centers by 2028, solutions that minimize carbon footprint while maintaining high performance are essential. HPE’s solution, featuring direct liquid cooling (DLC) technology, marks a significant step toward more sustainable supercomputing. DLC enhances performance by up to 20% per kilowatt compared with air-cooled solutions and reduces power consumption by 15%.

HPE Slingshot Interconnect

HPE’s solution is further enhanced by the Slingshot Interconnect, an open, Ethernet-based high-performance network designed to support exascale-class workloads. This network, rooted in HPE Cray technology, enables extremely high-speed networking, supercharging performance for the entire system and catering to real-time AI demands.

Simplicity and Global Support

To ensure the adoption of this advanced technology is as seamless as possible, HPE offers Complete Care Services. This global support network provides specialists for setup, installation, and full lifecycle support, simplifying AI adoption for organizations.

Looking Ahead

As we look toward the future, the intersection of supercomputing and AI is becoming increasingly critical. HPE’s new solution is a testament to the company’s innovation and aligns with the growing needs of organizations grappling with complex AI workloads. HPE is positioning itself at the forefront of the AI revolution by offering a turnkey, powerful, and sustainable solution.

The supercomputing solution for generative AI will be available in December through HPE in more than 30 countries. This availability marks a significant milestone for organizations worldwide, offering them an opportunity to leverage one of the most powerful computing technologies available to drive their AI initiatives forward, while keeping a keen eye on energy consumption and sustainability.

In summary, HPE’s announcement represents a significant advancement in the realm of AI and supercomputing. By providing a comprehensive, integrated solution that combines advanced software tools with high-performance, energy-efficient hardware, HPE is enabling organizations to push the boundaries of AI innovation. This solution is not just about meeting the current demands of AI workloads but about setting a new standard in AI development, focusing on performance, scalability, and sustainability. As AI continues transforming industries, HPE’s solution is poised to be pivotal in enabling these transformations.

Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.

Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.

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Author Information

Regarded as a luminary at the intersection of technology and business transformation, Steven Dickens is the Vice President and Practice Leader for Hybrid Cloud, Infrastructure, and Operations at The Futurum Group. With a distinguished track record as a Forbes contributor and a ranking among the Top 10 Analysts by ARInsights, Steven's unique vantage point enables him to chart the nexus between emergent technologies and disruptive innovation, offering unparalleled insights for global enterprises.

Steven's expertise spans a broad spectrum of technologies that drive modern enterprises. Notable among these are open source, hybrid cloud, mission-critical infrastructure, cryptocurrencies, blockchain, and FinTech innovation. His work is foundational in aligning the strategic imperatives of C-suite executives with the practical needs of end users and technology practitioners, serving as a catalyst for optimizing the return on technology investments.

Over the years, Steven has been an integral part of industry behemoths including Broadcom, Hewlett Packard Enterprise (HPE), and IBM. His exceptional ability to pioneer multi-hundred-million-dollar products and to lead global sales teams with revenues in the same echelon has consistently demonstrated his capability for high-impact leadership.

Steven serves as a thought leader in various technology consortiums. He was a founding board member and former Chairperson of the Open Mainframe Project, under the aegis of the Linux Foundation. His role as a Board Advisor continues to shape the advocacy for open source implementations of mainframe technologies.


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