GlobalFoundries Announces Next-Gen Silicon Photonics Solutions

March 7, 2022

MALTA, N.Y.March 7, 2022 — GlobalFoundries Inc today announced it is collaborating with industry leaders including Broadcom, Cisco Systems, Inc, Marvell and NVIDIA, along with breakthrough photonic leaders including Ayar Labs, Lightmatter, PsiQuantum, Ranovus and Xanadu, to deliver innovative, unique, feature-rich solutions to solve some of the biggest challenges facing data centers today.

The more than 42 billion connected IoT devices generating ~177 ZB of data annuallycombined with the rise of power consumption in data centers, is driving the need for innovative solutions to move and compute data faster and more energy efficiently. These key market trends and implications have catalyzed GF’s focus on groundbreaking semiconductor solutions that harvest the potential of photons, instead of electrons to move data and position GF to continue to be the manufacturing leader in the optical networking module market that is projected to grow at a CAGR of 26% between 2021 and 2026, reaching about USD 4 billion by 2026.2

Today GF is proud to announce GF Fotonix, its next generation, widely disruptive silicon photonics platform. GF has active design wins with major customers, significant market share today and expects its growth in this segment to outpace the market.

GF also announced it is partnering with industry leader Cisco Systems, Inc., on a custom silicon photonics solution for DCN and DCI applications, including an interdependent Process Design Kit (PDK) in close collaboration with our GF manufacturing services team.

Customers and Partner Support for GF Silicon Photonics Solutions

“We’re working closely with GlobalFoundries to design high-bandwidth, low-power optical interconnects for some of our leading-edge data center products. NVIDIA interconnect solutions manufactured with the monolithic GF Fotonix platform will boost high performance computing and AI applications, enabling breakthrough advances,” said Edward Lee, vice president of Mixed-Signal Design, NVIDIA.

“As one of our trusted semiconductor partners across a broad range of technologies and process nodes, we are happy to see Global Foundries extend their investments for enabling a photonics ecosystem across components and integrated solutions,” said Liming Tsau, vice president of Foundry Engineering, Broadcom Inc.

“The demands of today and tomorrow’s networking and communications infrastructure are requiring higher performance technologies for the design and manufacture of our optical transceiver modules,” said Bill Gartner, senior vice president and general manager of Optical Systems and Optics Group, Cisco Systems, Inc. “Our heavy investment and leadership in silicon photonics, combined with GF’s feature rich manufacturing technology, allows us to deliver best in class products.”

“Marvell continues to lead the industry with the highest performance transimpedance amplifiers and modulator drivers for next-generation optical connectivity solutions for the cloud data centers and carrier markets,” said Dr. Loi Nguyen, executive vice president, Optical and Copper Connectivity Group, Marvell.  “GF’s latest silicon germanium (SiGe) technology enables us to achieve the high bandwidth speeds and power efficiencies that our customers require to meet their ever-increasing data demands.”

“Since our earliest days, Ayar Labs and GlobalFoundries have partnered on the development of GF Fotonix, from incorporating our PDK requirements and process optimizations to demonstrating the first working silicon on the platform,” says Charles Wuischpard, CEO, Ayar Labs. “The combination of our leading monolithic electronic/photonic solution and GF Fotonix unlocks a tremendous market opportunity for chip-to-chip optical I/O and sets the stage for us to deliver substantial volume shipments by year end.”

“At Lightmatter, our technology delivers compute that is faster and more efficient than anything else in the market—results like these aren’t possible with conventional chips,” said Nicholas Harris, CEO of Lightmatter. “Our next-generation technology is made possible by GlobalFoundries’ best-in-class photonic foundry technology and together we’re changing the way the world thinks about photonics. This is just the start.”

“Our telecoms, defense and data center customers need innovative new ways to transmit, connect and compute data at the speed of light,” said Martin Zirngibl, vice president and general manager at Macom. “GlobalFoundries offers the features in its silicon photonics platform that can be leveraged to scale communications to the next level.”

“We are leveraging GF’s new Fotonix platform to develop custom silicon photonics chips that meet our advanced quantum computing requirements,” said Fariba Danesh, chief operating officer of PsiQuantum.

“We are delighted to share our multi-disciplinary silicon-photonics IP cores and chiplets, and advanced packaging solutions with our customers who are driving the adoption of novel data center architectures based on integrating best-in-class chiplets and co-packaged optics,” said Hojjat Salemi, chief business development officer of RANOVUS. “Our close collaboration with GlobalFoundries underlines our joint commitment to deliver a fully featured set of qualified IP cores and chiplets with OSAT-ready high-volume manufacturing flows and supporting ecosystem to enable the huge potential of monolithic silicon photonics.”

“Many chips, operating in parallel and networked together, are required to process the large number of qubits involved in fault-tolerant quantum computing algorithms,” said Zachary Vernon, head of hardware at Xanadu. “Leveraging an existing advanced 300mm platform like GF Fotonix gives us a huge advantage in the race to deliver a useful, error-corrected quantum computer.”

“Silicon photonics is now recognized as a necessary technology for the datacenter revolution, and our leading semiconductor manufacturing technology platform accelerates adoption into the mainstream,” said Amir Faintuch, senior vice president and general manager of Compute and Wired Infrastructure at GF.  “GF Fotonix is a feature-rich platform that addresses the most urgent, complex and difficult challenges in areas such as optical networking, super and quantum computing, fiber-to-the-home (FTTH), 5G networks, aeronautics and defense.”

GF Solutions to Move and Compute Data at Speed of Light 

GF Fotonix is a monolithic platform, the first in the industry to combine its differentiated 300mm photonics features and 300GHz-class RF-CMOS on a silicon wafer, delivering best-in-class performance at scale. GF Fotonix consolidates complex processes that were previously distributed across multiple chips onto a single chip by combining a photonic system, radio frequency (RF) components and high-performance complementary metal–oxide–semiconductor (CMOS) logic on a single silicon chip.

GF is the only pure-play foundry with a 300mm monolithic silicon photonics solution that has demonstrated the industry’s highest data rate per fiber (0.5Tbps/fiber). This enables 1.6-3.2Tbps optical chiplets, which deliver faster, more efficient transmission of data, more efficiently with better signal integrity. In addition, the up to 10,000x improvement in system error rate enables next generation artificial intelligence (AI).

GF Fotonix enables the highest level of integration onto a photonics integrated circuit (PIC) so customers can integrate more product functions and simplify their bill of materials (BOMs). End customers can realize greater performance through increased capacity and capability. The new solution also enables innovative packaging solutions, such as the passive attachment for larger fiber arrays, support for 2.5D packaging, and on-die lasers.

GF Fotonix solutions will be manufactured at the company’s advanced manufacturing facility in Malta, N.Y., with the PDK 1.0 available in April 2022. EDA partners Ansys, Cadence Design Systems, Inc., and Synopsys provide design tools and flows to support GF’s customers and their solutions. GF provides customers with reference design kits, MPWs, testing, pre- and post-fab, turnkey and semiconductor manufacturing services to help customers get to market faster.

In addition, for customers needing discrete, high-performance RF solutions for optical systems, GF also announced it is adding new features onto the GF SiGe platform. High-performance silicon germanium (SiGe) solutions from GF are designed to deliver the speed and bandwidth required to transport information through next generation fiber optic high speed networks.

About GF

GlobalFoundries (GF) is one of the world’s leading semiconductor manufacturers. GF is redefining innovation and semiconductor manufacturing by developing and delivering feature-rich process technology solutions that provide leadership performance in pervasive high growth markets. GF offers a unique mix of design, development and fabrication services. With a talented and diverse workforce and an at-scale manufacturing footprint spanning the U.S., Europe and Asia, GF is a trusted technology source to its worldwide customers. For more information, visit www.gf.com.


Source: GlobalFoundries

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!

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable quantum memory framework. “This work provides a promising Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Point. The system includes Intel's research chip called Loihi 2, 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 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…

Quantum Internet: Tsinghua Researchers’ New Memory Framework could be Game-Changer

April 25, 2024

Researchers from the Center for Quantum Information (CQI), Tsinghua University, Beijing, have reported successful development and testing of a new programmable Read more…

Intel’s Silicon Brain System a Blueprint for Future AI Computing Architectures

April 24, 2024

Intel is releasing a whole arsenal of AI chips and systems hoping something will stick in the market. Its latest entry is a neuromorphic system called Hala Poin 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…

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