HPE Introduces New Liquid-Cooled Supercomputers for Enterprises and Service Providers

Hewlett Packard Enterprise introduces HPC and AI Solutions

Exciting times are ahead in the world of high-performance computing (HPC) and artificial intelligence (AI). Today, Hewlett Packard Enterprise (HPE) has announced a comprehensive new portfolio designed to elevate scientific research and innovation. This lineup includes the impressive HPE Cray Supercomputing EX solutions, alongside two specialized systems tailored for large language model (LLM) training, natural language processing (NLP), and multi-modal model training.

Why is this important? As Trish Damkroger, HPE’s senior vice president and general manager for HPC & AI Infrastructure Solutions, puts it, “Service providers and nations investing in sovereign AI initiatives are increasingly turning to high-performance computing as the critical backbone enabling large-scale AI training that accelerates discovery and innovation.” In simpler terms, HPE is positioning itself as a go-to partner for those looking to fast-track their AI deployments and maximize efficiency.

A Deep Dive into HPE’s Leadership-Class HPC Portfolio

HPE is not just playing around; they’re leading the charge in the supercomputing arena. Their new products are built on the HPE Cray Supercomputing EX systems, which are engineered for research institutions tackling some of the world’s most pressing challenges. Think of it as a high-octane engine for scientific discovery, designed to power the next breakthroughs in technology and research.

What sets these solutions apart? For starters, they’re the first in the industry to feature a 100% fanless direct Liquid Cooling system. This innovative architecture spans every layer of HPE’s supercomputing solutions, including compute nodes, networking, and storage, all while being supplemented by a new software offering.

Meet the Powerhouses: HPE Cray Supercomputing Blades

Let’s talk specifics. The HPE Cray Supercomputing EX4252 Gen 2 Compute Blade is a beast, capable of delivering up to 98,304 cores in just one cabinet. With eight 5th Gen AMD EPYC processors, this compute blade maximizes CPU density, allowing users to achieve higher performance without taking up additional space. Mark your calendars; this powerhouse will be available in Spring 2025.

Then there’s the HPE Cray Supercomputing EX154n Accelerator Blade, designed to significantly speed up supercomputing workloads. It can house up to 224 nVidia Blackwell GPUs in a single cabinet, making it a formidable choice for those looking to tackle complex computational tasks. Keep an eye out for this one, as it’s expected to hit the market by the end of 2025.

Networking and Storage: The Unsung Heroes

No supercomputer is complete without top-notch networking and storage solutions. Enter the HPE Slingshot interconnect 400, which boasts a staggering 400 gigabits per second. This next-gen interconnect doubles the line speed of its predecessor and comes equipped with features like automated congestion management. It’s set to be available for clusters based on HPE Cray Supercomputing EX systems starting Fall 2025.

On the storage front, the HPE Cray Supercomputing Storage Systems E2000 is designed to enhance I/O performance, more than doubling what was previously possible. Built on the open-source Lustre file system, this storage solution is set to improve the efficiency of both CPU and GPU-based compute nodes, reducing idle time during I/O operations. Expect to see it rolling out in early 2025.

Streamlining AI with HPE ProLiant Compute XD Servers

But that’s not all. HPE is also launching a new family of servers—the HPE ProLiant Compute XD series—aimed at streamlining the deployment of large AI clusters. These servers are designed with service providers and large enterprises in mind, making it easier to train and tune AI models effectively.

The HPE ProLiant Compute XD680 server, for instance, is optimized for performance and features eight Intel Gaudi 3 AI accelerators in a compact node. This server is slated for release in December 2024. Meanwhile, the HPE ProLiant Compute XD685 server will offer NVIDIA GPUs, providing a competitive edge for those tackling complex AI models. Look for it to be available in early 2025.

A Glimpse into the Future

As the demand for advanced computing continues to grow, HPE is clearly committed to pushing the boundaries of innovation. Their solutions are not just about keeping pace; they’re designed to lead the charge in a world increasingly reliant on AI and supercomputing.

If you’re curious to see these technologies in action, make sure to visit HPE’s booth (#2219) at SC24 in Atlanta from November 17-22. It’s a great opportunity to explore the future of HPC and AI systems firsthand.

In a landscape where every second counts and innovation is the name of the game, HPE is making sure its customers are equipped to tackle the challenges of tomorrow. So, are you ready to embrace the future of computing?

Background Information

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About AMD:

AMD, a large player in the semiconductor industry is known for its powerful processors and graphic solutions, AMD has consistently pushed the boundaries of performance, efficiency, and user experience. With a customer-centric approach, the company has cultivated a reputation for delivering high-performance solutions that cater to the needs of gamers, professionals, and general users. AMD's Ryzen series of processors have redefined the landscape of desktop and laptop computing, offering impressive multi-core performance and competitive pricing that has challenged the dominance of its competitors. Complementing its processor expertise, AMD's Radeon graphics cards have also earned accolades for their efficiency and exceptional graphical capabilities, making them a favored choice among gamers and content creators. The company's commitment to innovation and technology continues to shape the client computing landscape, providing users with powerful tools to fuel their digital endeavors.

  

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About Intel:

Intel Corporation, a global technology leader, is for its semiconductor innovations that power computing and communication devices worldwide. As a pioneer in microprocessor technology, Intel has left an indelible mark on the evolution of computing with its processors that drive everything from PCs to data centers and beyond. With a history of advancements, Intel's relentless pursuit of innovation continues to shape the digital landscape, offering solutions that empower businesses and individuals to achieve new levels of productivity and connectivity.

  

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About nVidia:

NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

  

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Technology Explained

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Blackwell: Blackwell is an AI computing architecture designed to supercharge tasks like training large language models. These powerful GPUs boast features like a next-gen Transformer Engine and support for lower-precision calculations, enabling them to handle complex AI workloads significantly faster and more efficiently than before. While aimed at data centers, the innovations within Blackwell are expected to influence consumer graphics cards as well

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CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.

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EPYC: EPYC is a technology designed by computer chip manufacturer AMD for use in the server and data center industry. It was introduced in June 2017 and features an innovative design to improve performance and power efficiency. EPYC processor technology is based on an innovative 14nm processor architecture, allowing up to 32 high-performance cores in a single socket. This allows for more efficient processing power, increased memory bandwidth, and greater compute density. EPYC is now widely used in the data center and cloud computing industry and provides benefits such as greater scalability, increased resource efficiency, and advanced virtualization capabilities. Additionally, EPYC technology is used in data intensive servers like server farms, gaming, and virtualization platforms. EPYC ensures that even with large deployments in multi-processor environments, power consumption and performance levels are optimized to ensure maximum efficiency.

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GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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HPC: HPC, or High Performance Computing, is a type of technology that allows computers to perform complex calculations and process large amounts of data at incredibly high speeds. This is achieved through the use of specialized hardware and software, such as supercomputers and parallel processing techniques. In the computer industry, HPC has a wide range of applications, from weather forecasting and scientific research to financial modeling and artificial intelligence. It enables researchers and businesses to tackle complex problems and analyze vast amounts of data in a fraction of the time it would take with traditional computing methods. HPC has revolutionized the way we approach data analysis and has opened up new possibilities for innovation and discovery in various fields.

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Liquid Cooling: Liquid cooling is a technology used to cool down computer components, such as processors, graphics cards, and other components that generate a lot of heat. It works by circulating a liquid coolant, such as water or a special coolant, through a series of pipes and radiators. The liquid absorbs the heat from the components and then dissipates it into the air. This technology is becoming increasingly popular in the computer industry due to its ability to provide more efficient cooling than traditional air cooling methods. Liquid cooling can also be used to overclock components, allowing them to run at higher speeds than their rated speeds. This technology is becoming increasingly popular in the gaming industry, as it allows gamers to get the most out of their hardware.

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LLM: A Large Language Model (LLM) is a highly advanced artificial intelligence system, often based on complex architectures like GPT-3.5, designed to comprehend and produce human-like text on a massive scale. LLMs possess exceptional capabilities in various natural language understanding and generation tasks, including answering questions, generating creative content, and delivering context-aware responses to textual inputs. These models undergo extensive training on vast datasets to grasp the nuances of language, making them invaluable tools for applications like chatbots, content generation, and language translation.

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