HPE Expands Supercomputing Portfolio with New HPE Cray EX and XD Systems

November 8, 2022

HOUSTON, Nov. 8, 2022 – Hewlett Packard Enterprise today announced it is making supercomputing accessible for more enterprises to harness insights, solve problems and innovate faster by delivering its energy-efficient supercomputers in a smaller form factor and at a lower price point.

The expanded portfolio includes new HPE Cray EX and HPE Cray XD supercomputers, which are based on HPE’s exascale innovation that delivers end-to-end, purpose-built technologies in compute, accelerated compute, interconnect, storage, software, and flexible power and cooling options. The supercomputers provide significant performance and AI-at-scale capabilities to tackle demanding, data-intensive workloads, speed up AI and machine learning initiatives, and accelerate innovation to deliver products and services to market faster.

“We have entered a new frontier with the exascale era, which is represented by massive data growth that requires advanced modeling, simulation, analytics, and AI-at-scale capabilities to realize outcomes and accelerate innovation,” said Trish Damkroger, chief product officer and senior vice president, HPC, AI & Labs, HPE. “With the expanded portfolio of HPE Cray supercomputers, that leverage our world-leading exascale technologies, we are empowering broader commercial and public sector organizations to seize a growing opportunity by making supercomputing accessible to meet their scale and data center needs.”

Speeding Time-to-Market and Strengthening Industry Competitiveness with Supercomputing

Supercomputing continues to demonstrate significant value to advance R&D and strengthen competitiveness.

By extending the power of supercomputing to the enterprise, organizations can take advantage of modeling and simulation capabilities to create digital representations that help them understand how something will look and perform in the physical world before productizing it. Additionally, as many products and services are incorporating AI and machine learning, enterprises can leverage supercomputing to build and train larger, robust AI models on useful applications, such as natural language processing and computer vision, to predict outcomes faster.

Enterprises in energy, such as oil and gas, financial services, health and life sciences, and manufacturing, can now benefit from powerful technologies by adopting supercomputing solutions from HPE that fit within their data center size, scale and budget needs. Examples of use case benefits, across industries, include:

  • Speeding up time-to-market with safer and high-performing cars: Car makers need to first meet crash-testing requirements, to ensure the safety and performance of new vehicles, to meet product launch timeline goals. By digitally simulating vehicle safety and performance using supercomputing, automotive manufacturers can better model and test vehicle design improvements and simulate accidents to make advancements to protect passengers. Additionally, car makers can save money and resources on having to conduct physical testing and car crash simulations.
  • Improving manufacturing with sustainable materials: Having capabilities to simulate physical and chemical components to advance the discovery of alternative materials, can help the manufacturing space improve sustainable packaging options for personal and consumer care products and lead to reducing operating costs for businesses.
  • Accelerating drug discovery to treat diseases faster: Research scientists and pharmaceutical labs will be able to better understand chemical interactions that can lead to breakthrough new drug therapies for challenging and even yet-to-be-discovered diseases.
  • Making critical millisecond decisions in finance markets: Financial analysts can leverage supercomputing performance and AI capabilities to create detailed analytics and advanced algorithms to predict critical stock trends and trade, and even improve fraud detection and risk management.

Extending exascale innovation to accessible supercomputing for the enterprise

Today, HPE is introducing the following new supercomputers that government and enterprises can benefit from:

  • HPE Cray EX2500 supercomputers – Offer the same architecture as the HPE Cray EX4000 supercomputer, which enables the world’s first and fastest exascale-class system, but 24% smaller to fit inside an enterprise data center. This new form factor approach features 100% direct-liquid cooling to improve energy efficiency, and enables a cost-effective solution for larger enterprises that want greater performance at-scale but in a smaller implementation and lower carbon footprint.
  • HPE Cray XD2000 and XD6500 supercomputers HPE Announces New Supercomputers Targeting Enterprise and AI – Offer highly dense, purpose-built servers that were created by integrating the HPE and Cray portfolios to provide maximum performance for advanced workloads including modeling, simulation and AI. The new HPE Cray XD supercomputers are compatible with traditional enterprise data centers as they provide customers with the flexibility and broad range of options to customize technologies across CPUs, accelerators, storage, interconnect, and power and cooling options, depending on workload needs.

The new supercomputers will also feature the following technologies built for exascale-class systems to support demanding compute-intensive and data-intensive workloads, such as AI and machine learning:

  • HPE Slingshot, an Ethernet interconnect to address demands for high speed and better congestion control, helping complex applications run more smoothly.
  • Cray Clusterstor E1000 to provide expanded storage with intelligent tiering to support data-intensive workloads, such as AI model training, to make storing and accessing data easy and efficient.
  • HPE Cray Programming Environment that brings a fully integrated software suite with compliers and developer tools to enable code portability, allowing developers to run the code when and where they need it to optimize modeling, simulation, analytics and AI applications.
  • Sophisticated direct liquid-cooling capabilities that efficiently remove heat from high power devices such as processors, GPUs and switches.

Enabling AI-at-Scale with Dedicated Machine Learning Software

The new supercomputers are also ideal for enabling AI-at-scale and can be equipped with the HPE Machine Learning Development Environment, an optimized machine learning software platform to build and train bigger AI models, faster.

By combining HPE’s world-leading supercomputing technology with the HPE Machine Learning Development Environment, users can speed up the typical time-to-value to start realizing results from building and training machine models, from weeks and months, to days.

HPE Delivers a Robust Ecosystem of Heterogenous Compute and Accelerated Solutions

The new HPE Cray EX2500 and HPE Cray XD2000 and XD6500 supercomputers will support the latest CPUs, GPUs and accelerators to provide advanced compute and accelerated compute capabilities to support demanding workloads.

The HPE Cray EX2500 supercomputer will support the 4th Generation AMD EPYC processors and 4th Generation Xeon Scalable processors.

HPE is also the first to deploy a customer system using 4th Gen Xeon Scalable processors for the U.S. Department of Energy’s Los Alamos National Laboratory. The new system, “Crossroads”, will support R&D for the National Nuclear Security Administration (NNSA) to tackle critical modeling and simulation of nuclear weapons at high 3D resolutions to ensure the reliability and security of the nuclear stockpile.

The HPE Cray XD6500 supercomputers will support 4th Gen Xeon Scalable processors and NVIDIA H100 Tensor Core GPUs.

HPE to Showcase World-leading Supercomputing Portfolio and Solutions at SC22

HPE will showcase some of its leading supercomputing and AI solutions at SC22, an annual international conference for high performance computing, networking, storage, and analysis, that celebrates achievements and inspires new opportunities fueled by supercomputing.

About Hewlett Packard Enterprise

Hewlett Packard Enterprise is the global edge-to-cloud company that helps organizations accelerate outcomes by unlocking value from all of their data, everywhere. Built on decades of reimagining the future and innovating to advance the way people live and work, HPE delivers unique, open and intelligent technology solutions as a service. With offerings spanning Cloud Services, Compute, High Performance Computing & AI, Intelligent Edge, Software, and Storage, HPE provides a consistent experience across all clouds and edges, helping customers develop new business models, engage in new ways, and increase operational performance.


Source: HPE

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Intersect360 Research Takes a Deep Dive into the HPC-AI Market in New Report

May 1, 2024

A new report out of analyst firm Intersect360 Research is shedding some new light on just how valuable the HPC and AI market is. Taking both of these technologies as a singular unit, Intersect360 Research found that the Read more…

Qubit Watch: Intel Process, IBM’s Heron, APS March Meeting, PsiQuantum Platform, QED-C on Logistics, FS Comparison

May 1, 2024

Intel has long argued that leveraging its semiconductor manufacturing prowess and use of quantum dot qubits will help Intel emerge as a leader in the race to deliver practical quantum computing - a race that James Clarke Read more…

Amazon’s New AI Assistant Is an Editor to Prevent Hallucinations

May 1, 2024

Large-language models regularly spit out off-the-rails answers, and companies are introducing editors and guardrails to ensure that responses from AI are more on point. Amazon this week announced the general availabil Read more…

Intel’s Next-gen Falcon Shores Coming Out in Late 2025 

April 30, 2024

It's a long wait for customers hanging on for Intel's next-generation GPU, Falcon Shores, which will be released in late 2025.  "Then we have a rich, a very aggressive cadence of Falcon Shores products following that Read more…

Stanford HAI AI Index Report: Science and Medicine

April 29, 2024

While AI tools are incredibly useful in a variety of industries, they truly shine when applied to solving problems in scientific and medical discovery. Researching both the world around us and the bodies we inhabit has c Read more…

Atos/Eviden Find a Strategic Path Forward

April 29, 2024

French IT giant Atos seems to have found a path forward. In recent years, Atos has been struggling financially and has not had much luck finding a buyer for some or all of its technology. Atos is the parent of the Read more…

Qubit Watch: Intel Process, IBM’s Heron, APS March Meeting, PsiQuantum Platform, QED-C on Logistics, FS Comparison

May 1, 2024

Intel has long argued that leveraging its semiconductor manufacturing prowess and use of quantum dot qubits will help Intel emerge as a leader in the race to de Read more…

Stanford HAI AI Index Report: Science and Medicine

April 29, 2024

While AI tools are incredibly useful in a variety of industries, they truly shine when applied to solving problems in scientific and medical discovery. Research Read more…

IBM Delivers Qiskit 1.0 and Best Practices for Transitioning to It

April 29, 2024

After spending much of its December Quantum Summit discussing forthcoming quantum software development kit Qiskit 1.0 — the first full version — IBM quietly Read more…

Shutterstock 1748437547

Edge-to-Cloud: Exploring an HPC Expedition in Self-Driving Learning

April 25, 2024

The journey begins as Kate Keahey's wandering path unfolds, leading to improbable events. Keahey, Senior Scientist at Argonne National Laboratory and the Uni Read more…

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire