HPE to Acquire Cray for $1.3B

By Doug Black & Tiffany Trader

May 17, 2019

Venerable supercomputer pioneer Cray Inc. will be acquired by Hewlett Packard Enterprise for $1.3 billion under a definitive agreement announced this morning. The news follows HPE’s acquisition nearly three years ago of supercomputer vendor SGI, for $275 million, both moves bolstering the company’s HPC technology portfolio and, presumably, HPE’s no. 1 position in the HPC server market.

The acquisition joins a recent spate of M&A activity at the advanced scale computing end of the technology industry – including the Nvidia-Mellanox and Xilinx-Solarflare acquisitions, all with the apparent purpose of delivering platforms able to tackle the broad strategic imperatives of the “holy quintet”: integrated HPC-big data-AI-5G-IoT solutions.

“Overall, the infrastructure vendors are all looking to come to market with a more complete story,” Henry Baltazar, research VP, infrastructure, at industry analyst firm 451 Research told us in connection with the recent acquisition of Nexenta by high performance storage specialist DDN. This “is why we are seeing storage, networking and other acquisitions taking place. Everybody wants to plug holes either with M&A or partnerships.”

The acquisition also underscores Nvidia CEO Jensen Huang’s observation that datacenters are increasingly taking on the characteristics of HPC systems. In its announcement, HPE noted that “the explosion of data from artificial intelligence, machine learning and big data analytics and evolving customer needs for data-intensive workloads are driving a significant expansion in HPC.”

HPE cited HPC market research projecting growth from $28 billion in 2018 to $35 billion in 2021. At the highest end of the market are exascale systems, capable of a billion calculations per second, a segment in which Cray is actively involved and which represents an estimated $4 billion market opportunity over the next five years, HPE said.

“This pending deal will bring together HPE, the global HPC market leader, and Cray, whose Shasta architecture is under contract to power America’s two fastest supercomputers in 2021,” said Steve Conway, SVP of Research, COO and AI/HPDA Lead, Hyperion Research. “The Cray addition will boost HPE’s ability to pursue high-end procurements and will speed the combined company’s development of next-generation technologies that will benefit HPC and AI-machine learning customers at all price points. Cray will benefit from joining a company with greater resources and much more experience in commercial markets that are increasingly adopting HPC technology to accelerate R&D and business operations.”

Cray technology is foundational to the United States’ exascale roadmap; the company’s Shasta architecture was selected for the first two U.S. exascale systems, anticipated to debut in 2021. Cray won the $600 million (CORAL-2) contract to build the 1.5 exaflops Frontier supercomputer at Oak Ridge National Laboratory, and it is a partner with Intel to build the 1 exaflops Aurora (CORAL-1) system at Argonne (with Cray’s portion of the contract valued at more than $100 million). Both systems will support the converged use of analytics, AI, and HPC at extreme scale, using Cray’s new Shasta system architecture, software stack and Slingshot interconnect.

With a heritage extending back to Cray Research, founded by Seymour Cray in 1972, Cray has a leadership position in the top 100 supercomputer installations around the globe and is one of only a handful of companies capable of building these world-class supercomputers. Cray and HPE have a strong presence on the Top500 list, which documents the world’s largest HPC and web-scale systems per the Linpack benchmark. Together the companies claim nearly 20 percent of the current list’s total system share (Cray with 49 machines and HPE with 46).

Cray is headquartered in Seattle and has additional engineering and manufacturing facilities in California, Minnesota, Texas, Wisconsin and the United Kingdom. With a workforce of 1,300 employees globally, Cray reported revenue of $456 million in its most recent fiscal year, up 16 percent year over year.

In discussing the company’s first-quarter earnings last week (May 7), Cray CEO Pete Ungaro characterized 2019 as a transition year. “We do not plan to begin shipping Shasta systems until the end of the year,” he said. “However, with growing momentum and continued execution, we are well positioned to expand on our market leadership position and deliver strong long-term growth.”

HPE said the combination with Cray is intended to deliver “a comprehensive end-to-end portfolio of HPC infrastructure – compute, high-performance storage, system interconnects, software and services supplementing existing HPE capabilities to address the full spectrum of customers’ data-intensive needs.”

“Answers to some of society’s most pressing challenges are buried in massive amounts of data,” said Antonio Neri, president and CEO, HPE. “Only by processing and analyzing this data will we be able to unlock the answers to critical challenges across medicine, climate change, space and more. Cray is a global technology leader in supercomputing and shares our deep commitment to innovation. By combining our world-class teams and technology, we will have the opportunity to drive the next generation of high performance computing and play an important part in advancing the way people live and work.”

HPE said that as part of the transaction, the company expects to incur one-time integration costs that will be absorbed within HPE’s FY20 free cash flow outlook of $1.9 billion to $2.1 billion that remains unchanged. The transaction is expected to close by the first quarter of HPE’s fiscal year 2020, subject to regulatory approvals and other customary closing conditions.

Ungaro said the acquisition “brings together Cray’s leading-edge technology and HPE’s wide reach and deep product portfolio, providing customers of all sizes with integrated solutions and unique supercomputing technology to address the full spectrum of their data-intensive needs. HPE and Cray share a commitment to customer-centric innovation and a vision to create the global leader for the future of high performance computing and AI.”

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!

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it 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…

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…

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…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t 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

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…

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…

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…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a 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…

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…

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…

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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire