UCIe Consortium Incorporates, Nvidia and Alibaba Round Out Board

By Tiffany Trader

August 2, 2022

The Universal Chiplet Interconnect Express (UCIe) consortium is moving ahead with its effort to standardize a universal interconnect at the package level. The consortium has incorporated under the direction of 12 board members and has launched six working groups. Newly elected members Nvidia and Alibaba have joined the ten founding promoter companies, which include AMD, Arm, Advanced Semiconductor Engineering, Inc. (ASE), Google Cloud, Intel, Meta (Facebook’s parent company), Microsoft, Qualcomm, Samsung and TSMC. 

UCIe Consortium board members

The group comprises semiconductor and packaging companies, IP suppliers, foundries, and cloud service providers. Three of the biggest cloud companies – Google Cloud, Microsoft and Alibaba Group – are represented, but Amazon, which makes custom Arm-based chips under the Graviton moniker, is not a member. 

Another 40 or so contributor members – among them Ayar Labs, Broadcom, Cadence, Micron and Tachyum – will contribute to future UCIe standards through their participation in the working groups. 

Earlier this year, Intel Corporation donated the UCIe 1.0 spec, which was ratified by the original 10 promoter members.

In a pre-briefing with HPCwire, UCIe Consortium Chair (and Senior Intel Fellow) Debendra Das Sharma referenced a passage from Gordon Moore’s famous 1965 paper: “It may prove to be more economical to build large systems out of smaller functions, which are separately packaged and interconnected,” wrote Moore under the sub-heading “Day of reckoning.” UCIe’s backers believe that, at least in some use cases, that day has arrived.

The UCIe standard will enable chip designers to mix and match dies and other chiplet components from multiple sources with different packaging options. The UCIe 1.0 specification defines a standardized die-to-die interconnect, encompassing a physical layer, protocol stack, software model, and compliance testing. It natively maps PCI Express (PCIe) and Compute Express Link (CXL) protocols. 

UCIe 1.0 specification’s key performance indicators. Source: UCIe Consortium.

The consortium has established six working groups. The five technical working groups span electrical, protocol, form factor/compliance, manageability/security, and systems and software. There is also a marketing working group. It’s akin to how the CXL consortium is organized, said Das Sharma, who is also a co-founder and co-chair of that effort.

Source: UCIe briefing slide (July 2022)

Nvidia announced that it would join the UCIe standards group back in March. During the spring GTC proceedings, Nvidia CEO Jensen Huang told HPCwire that as soon as the UCIe spec is stabilized, Nvidia would add it to its chips “as fast as we can.” 

While Nvidia uses its proprietary NVLink chip-to-chip interconnect in its HGX/DGX platforms and its Grace Superchips, it will also leverage the UCIe standard for its semi-custom program. UCIe lets customers build semi-custom chips that connect into Nvidia’s chips (CPUs, GPUs and DPUs) with “just a little engineering effort” in a cost-effective way, Huang said.

There are three levels of UCIe membership: promoters, contributors and adopters. The promoters comprise the board of directors and have leadership roles. Contributor and promoter companies can participate in the working groups, while adopters only get to see the final spec and also get IP protection. That is consistent with how the CXL consortium operates as well, said Das Sharma.

The current board roster is locked in for four years as a stability measure, according to Das Sharma, but the consortium is open to new contributor and adopter level members. 

Contributor members pay dues of $10,000 per year, while adopters (who do not get to participate in the working groups, but do get spec access and IP protections) can join for $2,500 per year. The first year of membership also includes a one-time startup fee equal to the yearly amount, which brings the first-year buy-in to $20,000 for contributors, $5,000 for adopters.

Das Sharma said he sees positive early indicators for UCIe with some parallels to CXL, the interconnect standards consortium that has been steadily making headway since launching in 2019. “I expect it to be at par, if not better than that,” Das Sharma said “This is my honest belief and why I have dedicated so much time to this.”

The UCIe 1.0 Specification is available at https://www.uciexpress.org/specification.

Also see: CXL Consortium Releases Compute Express Link 3.0 Specification

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!

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 Research senior analyst Steve Conway, who closely tracks HPC, AI, 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, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing 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 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…

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…

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 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…

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…

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 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…

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…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire