Enterprise

Intel just committed to a four-year roadmap for its data center division. Can it deliver?

Intel executives revealed the company’s strategy to regain its dominance in the data center at an event in Dallas, Texas, after years of delays that have allowed competitors to make headway.

An Intel-branded flag waving outside an office building on a sunny day

Intel is going all in on IPUs.

Photo: Intel

Intel executives outlined the company’s data-center strategy for the next year Tuesday, mapping out a four-year plan for its line of infrastructure processors and several new iterations of existing AI chips.

Intel’s foray into what it calls infrastructure processing units (IPUs) follows other efforts by rivals such as Nvidia and AWS: Both recognized that the demands of modern computing require that networking-related tasks run on a dedicated engine that delivers performance beyond what is offered by a CPU or GPU.

For years, cloud computing providers were simply able to buy ever-larger numbers of powerful graphics and processing chips that got more powerful every couple of years. But as it has become more difficult to cram smaller features onto silicon, server designers have looked for other ways to improve performance.

“IPU is a key part of the future data center architecture,” Intel’s head of Ethernet Products Patty Kummrow said in a briefing with reporters ahead of a launch event Tuesday in Dallas, Texas. “We have talked about our data center of the future, [and] we see the IPU as a critical piece to enable all those optimizations and performance performance drivers that our customers see.”

While Nvidia introduced its own data-processing unit in 2020, Intel didn’t immediately embrace the idea, and launched the first iteration of the IPUs last year. Intel designed its first batch of IPUs with Google, and Kummrow cited demand for the chips from financial institutions because of their security requirements. Separating the infrastructure operations from the core computing has made both tasks significantly more efficient, she said.

“We're seeing a lot of demand and applicability for these devices, even beyond the hyperscale data centers all the way out to the edge,” Kummrow said.

That initial IPU project went well enough to prompt Intel to commit to building four generations of IPUs through 2026, and a set of software tools to help run them. The planned products will scale in speed and complexity, and be driven by data-center operator demands for networking performance, Kummrow said.

The Intel IPUs come in two flavors: one that features a programmable chip that customers can update as they see fit, and a second version with a design that’s locked in, created around the purpose-built chip known as an ASIC that Intel designed with Google. Kummrow promised more details about subsequent iterations of the IPU in the future.

“Security and storage are really emerging workloads that are very, very important, and we're really committed to enabling broad adoption for our customers in the cloud service providers, enterprise and beyond that, all the way to the edge,” Kummrow said.

The addition of several generations of IPUs to Intel’s existing portfolio of data-center chips is another sign of CEO Pat Gelsinger’s influence on the company and his multiyear plan to remake the business.

Chip There are two types of new Intel IPUs.Photo: Intel

Prior to Gelsinger’s appointment to the top boss spot, Intel insisted that its CPUs were sufficiently powerful to meet the needs of the modern data-center customer. Committing to at least four years of IPUs indicates the company’s increasing willingness to admit its processors aren’t enough on their own for today’s data centers.

Separately Tuesday, Intel’s Habana AI unit said that it was releasing a new version of its Goya inference and Gaudi training chips. Intel plans to make them with its seven-nanometer manufacturing tech, which will allow Habana to significantly increase their performance by bolstering the subsystems in the accelerators, including adding ethernet integration onto the devices, among other improvements.

“With Gaudi 2, we are leaping all the way to seven nanometer, and we use that to really upgrade all the major subsystems inside that accelerator,” Habana COO Eitan Medina said.

Intel also said it planned to launch a new generation of data-center graphics chips in the third quarter of this year, which are called Arctic Sound-M and include a hardware video encoder.

Intel’s overall data-center business grew at a healthy clip in the first quarter, with revenue rising 22% to $6 billion — though it missed Wall Street expectations. Despite the strong growth and a strong overall market, however, executives noted that supply issues continue to hamper Intel’s ability to fulfill all the orders coming in from cloud computing companies. The company also continues to lose share to rivals such as AMD, according to Jefferies.

Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

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Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

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FTA
The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.
Enterprise

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

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Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

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Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

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Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

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