Intel: Management Change at Data Center Group; Xeon Re-architecting on Way

By George Leopold and Doug Black

May 5, 2017

Diane Bryant, EVP and GM of Intel’s Data Center Group and a prominent industry figure (SC15 keynote speaker, e.g.), is taking an extended leave of absence from Intel “to tend to a personal family matter,” according to Intel. Navin Shenoy, most recently GM of the Client Computing Group, will take over DCG (fiscal 2016 revenue: $17 billion).

“Given the extended duration (of Bryant’s leave), an interim leader for the Data Center Group is not possible,” Intel CEO Brian Krzanich said in an email to Intel employees yesterday.

Shenov, a 22-year veteran of Intel who will report directly to Krzanich, has held positions in the CEO’s office, sales and marketing, and the PC and tablet businesses, before running CCG.

Diane Bryant. Source: Intel.

Shenoy and Bryant “will work closely together for the next month to ensure a smooth transition for the organization and our customers…,” Krzanich said, adding that Bryant will be on leave for six to eight months. “And, it goes without saying that my thoughts are with Diane. I look forward to welcoming her back to her next challenging role.”

Krzanich said that over the past five years, Bryant has “transformed DCG from a server-centric group to a business that spans servers, network and storage across all end-user segments, and with product lines and business models that extend beyond the traditional.”

The Bryant news follows an April announcement that Brent Gorda, GM of Intel’s High Performance Data Division, would be leaving the company. Gorda is the former CEO of Whamcloud, the Lustre specialist acquired by Intel in 2012. In March, Intel announced the appointment 11-year Intel veteran Aicha S. Evans as chief strategy officer.

Meanwhile, Intel continues to sharpen its processor focus on datacenters and handling a broader set of workloads with the rebranding and “re-architecting” of its Xeon family.

The chip giant, which recently began shipping new Optane solid-state drives based on its 3-D Xpoint memory technology, continues to double down on datacenter applications and demanding data-driven workloads. Analysts noted that the repackaged “Xeon Processor Scalable Family,” partially unveiled on Thursday (May 4) based on its Skylake processor architecture, is aimed at accelerating HPC workloads, along with machine learning, networking and security.

The new family is designed to deliver “four levels of performance and a variety of choices with regard to which integrations and accelerators customers need,” Intel said.

Source: Intel

Added Jennifer Huffstetler, Intel’s director of datacenter product marketing: “We are bringing essentially two of our previously segmented platforms, the Xeon E5 and the Xeon E7, together into one unified platform that now will be able to provide that scalability and flexibility from entry compute, network and storage workloads all the way through to mission critical workloads, like in-memory database and analytics, so really bringing the best to bear of both of our Xeon families into this one scalable stack.”

The new datacenter processor family is scheduled for release this summer, and the chipmaker was stingy about details. Nevertheless, analysts said the scaling strategy was significant. “Intel is separating core count, [reliability, availability and serviceability] features and other special features from their ‘good-better-best’ [categories] they had with Xeon E3, E5 and E7,” chip analyst Patrick Moorhead of Moor Insights & Strategy told EnterpriseTech.

Huffstetler explained that workload characteristics would determine whether greater or lower core counts are required. For example, datacenter operators running demanding workloads involving HPC utilization or in-memory analytics “would be looking higher up the stack,” she said.

While full details won’t be released until the processor family is officially launched, Huffstetler did provide this nugget: “We are seeing new integrations [that are] able to address those shifting workload needs, including integrations of accelerators, like our QuickAssist technology for crypto- or compression algorithms.”

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…

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…

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…

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