Intel’s New Programmable Chips Next Year to Replace Aging Products

By Agam Shah

September 27, 2022

Intel shared its latest roadmap of programmable chips, and doesn’t want to dig itself into a hole by following AMD’s strategy in the area.

“We’re thankfully not matching their strategy,” said Shannon Poulin, corporate vice president for the datacenter and AI group at Intel, in response to a question posed by HPCwire during a press briefing.

The updated roadmap pieces together Intel’s strategy for FPGAs, or field programmable gate arrays, in line with its manufacturing advances.

FPGAs can be programmed to carry out a range of functions as AI chips and network acceleration. Companies also use FPGAs to test chip designs or prototype applications.

Intel’s been on a holding pattern on FPGAs, releasing the last major Agilex chip in 2021, which was made on the 10nm SuperFin process.

The next major Agilex product – which is more a manufacturing upgrade – will be released in 2023-2024. The M-series FPGA will be on an upgraded 10nm process, which Intel calls “Intel 7.”

The followup, the next-generation Agilex chip based on a new architecture, will also come in the 2023-2024 timeframe on Intel 7.

Poulin, who took over the FPGA division last year, acknowledged that the company hasn’t kept pace in meeting suppliers’ needs. Intel had neither availability or a portfolio of FPGAs for the low-end market on a modern manufacturing process, Poulin said.

“I really felt like we needed to look at the supply chain. We had many of our products – we still have many of our products – on legacy supply nodes, many of those nodes not made at Intel, and I’m talking about nodes that are, you know, 5-10-20 years old, in some cases,” Poulin said.

Manufacturing services firm Jabil, which integrates chips into projects for industrial clients, has said it expects FPGA shortages to go into 2023.

There’s a big demand for FPGAs in modern equipment in 5G and robotics where cutting edge FPGAs, made on modern processes, is becoming really important, Poulin said.

“We’re moving our whole portfolio over to Intel manufacturing,” he said.

Intel’s making a range of advances in its manufacturing processes, including the use of “chiplet” technology that can package together a range of chips in a single die. Intel is designing an FPGA for that, which brings in PCIe 5.0 and the CXL interconnect, and can be paired with a range of chips, such as AI accelerators, GPUs, or x86 and RISC-V CPUs in one integrated chip. Intel has been sampling that product and will bring them to production soon, Poulin said.

Intel’s Advanced Interface Bus (AIB) is a die-to-die PHY level standard that enables a modular approach to system design with a library of chiplet intellectual property (IP) blocks. The figure shows an example of a possible heterogeneous system in package (SiP) that combines sensors, proprietary ASIC, FPGA, CPU, Memory, and I/O using AIB as the chiplet interface. Credit: Intel.

The company is working with partners like Texas Instruments, which mostly makes analog chips, to connect the FPGA to third-party chiplets. That is done via an interface Intel calls AIB (Advanced Interface Bus).

“We’re moving to more chiplet architecture and more modular capability which really opens up a number of opportunities not just for PSG … but also for the broader company,” Poulin said.

Also on the roadmap is Agilex D-series, which is for the mid-range market. The chip will have 100,000 logic elements, low-power DDR5 memory, and a new type of “smart fabric” that will provide a performance boost. The initial chips will sample in 2023, with volume shipments starting in 2024. The FPGA is targeted at industrial, communications, robotics and other markets.

The next Agilex chip codenamed Sundance Mesa will be about half the size of the D-series chip with about 50,000 logic elements. It will be for artificial intelligence and consumer-oriented applications. Intel hasn’t assigned a series name to this chip.

Intel has been doing chiplets with its Stratix and Agilex FPGAs for four years, but will evolve it to support new interfaces like UCIe, which is emerging as the interconnect to link up diverse cores inside a single chip package.

Intel to an extent is relying on chiplets and associated interfaces like UCIe and CXL, to move its FPGA strategy forward. That relies heavily on the company’s manufacturing strategy, which isn’t moving forward as planned with delays in shipments for chips such as Xeon processors codenamed Sapphire Rapids and the Gaudi 2 AI chip.

In the meanwhile, AMD has moved ahead with quick integration of Xilinx, which it acquired earlier this year after a long review period. AMD wasted no time releasing a cohesive roadmap that included CPUs, GPUs, software-defined FPGAs and fixed-function ASICs.

AMD executives are making the rounds of chip conferences talking about the FPGA and ASIC roadmap. FPGAs can carry out chip functions using software, but AMD is pairing fixed function logic, like ASICs, to programmable logic adapters like FPGAs where one can layer in customizations such as custom header extensions, or add or remove new accelerator functions on the programmable logic.

Intel is playing catch up, but Poulin said the company wants to get its strategy right even if it takes time. The modular approach – which will be made possible by interfaces like UCIe and CXL – will allow Intel to create a more flexible chip design, Poulin said.

“I think it’s fair … that we’re still filling out our portfolio, but we are not going to follow them strategy wise down that rabbit hole of hardening IP that people don’t want or most people don’t want,” Poulin said.

Poulin said there are two choices where one could choose to harden IP – on the fabric itself, or on a chiplet, which Intel has with the AIB interface.

“One of the things you don’t want to do, which is one of the things [AMD’s] Versal has done, is hardened a bunch of things that a subset of the people will use and not have a modular way of actually making exactly the right product that somebody wants, because then you end up cost (infrastructure wise), leakage (current wise), and with a product that is over designed for an individual market,” Poulin said.

Intel’s strategy is playing out well in the infrastructure processing unit (IPU) space, where the company has hardened IP on the fabric.

“We’re going to have a modular approach so that we can put exactly the hard IP on exactly the customers that want it,” Poulin said.

Intel’s process node roadmap and 2022 milestones. Presented by Pat Gelsinger at Intel’s investor meeting on Feb. 17, 2022.

But Intel has its challenges going forward, which partly relies on the company meeting its manufacturing roadmap. Intel CEO Pat Gelsinger in 2021 set an aggressive roadmap of advancing four nodes in five years, which is much quicker than the typical two-year advance in chip manufacturing. Another big question for Intel remains whether the company will be able to personalize those chips, which the company mainly does for top customers with large orders of custom chips.

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