Marvell and TSMC Collaborate to Deliver Data Infrastructure Portfolio on 5nm Technology

August 25, 2020

SANTA CLARA, Calif., Aug. 25, 2020 – Marvell, provider of data infrastructure semiconductor solutions, announced an extension of their long term partnership with TSMC, a dedicated semiconductor foundry, to deliver a comprehensive silicon portfolio for the data infrastructure market leveraging the industry’s most advanced 5 nanometer (nm) process technology. Next-generation infrastructure has never been more critical to the global economy. It’s what’s keeping the world connected, businesses running and information flowing. With this collaboration, Marvell and TSMC are advancing the essential technology underpinning this infrastructure to provide the storage, bandwidth, speed, and intelligence that tomorrow’s digital economy demands – with the added customer benefit of significant energy efficiency. Built in partnership with TSMC on the most advanced process technology currently in volume production, Marvell’s new 5nm portfolio will enable leading-edge silicon innovation for the infrastructure market.

Marvell’s breakthrough 5nm portfolio will provide the essential high-performance compute, networking and security technology required to advance infrastructure development for a multitude of end-market applications. Marvell’s Ethernet connectivity solutions enable high-performance, low-power network connectivity, optimized for applications that span cloud data centers to the harsh environment of the automotive market. Marvell’s OCTEON platform is the industry’s leading Arm-based high-performance compute architecture for embedded infrastructure applications targeting a wide variety of wired and wireless networking equipment including switches, routers, secure gateways, firewalls, and network monitoring solutions. OCTEON is the world’s most widely deployed data processing unit (DPU) for data-center scale computing and enables a multitude of acceleration and offload capabilities, including Smart NICs and security accelerators. Featuring optimized and customized 5G processing and baseband capabilities, Marvell’s OCTEON Fusion® platform is pushing the boundaries of wireless network infrastructure.

With multiple designs already under contract for its 5nm portfolio, Marvell is developing solutions across the carrier, enterprise, automotive, and data center markets with first products sampling by the end of next year. This marks a significant milestone for the infrastructure industry as the process node cadence now closely follows that of the consumer and high-performance market. This joint development positions Marvell for multi-generational leadership in data infrastructure technology. These advanced systems based on Marvell’s leading technology platform will set a new bar for power and performance for the industry.

Behind Marvell’s entire 5nm solution set is the company’s industry-leading IP portfolio that covers the full spectrum of infrastructure requirements including high-speed SerDes up to 112Gbps long-reach, processor subsystems, encryption engines, system-on-chip fabrics, chip-to-chip interconnects, and a variety of physical layer interfaces. These technologies and more are all in development now on TSMC’s N5P process, an enhanced version of TSMC’s 5nm technology which delivers approximately 20 percent faster speed or 40 percent power reduction compared to the previous 7nm generation.

This rich collaboration between the two companies extends beyond 5nm to provide a reliable and long-term roadmap for Marvell’s customers.

“We are proud to partner with Marvell to serve the data infrastructure market with cutting-edge silicon, and are committed to supporting their growing needs in development, quality, supply and capacity,” said Dr. Kevin Zhang, Senior Vice President of Business Development at TSMC. “In the 5G era, more applications than ever are demanding the most advanced silicon technology we can provide. We look forward to collaborating with Marvell to meet these demands with our combined design and process expertise and extend our long history of partnership to the 5nm generation and beyond.”

“Now is the time to invest in data infrastructure – the world is relying on us – and our customers are depending on us,” said Raghib Hussain, Chief Strategy Officer and Executive Vice President of the Networking and Processors Group at Marvell. “TSMC’s 5nm process provides world-class power, performance and gate density – and it’s critical for the demands of the leading companies in the world in cloud, 5G, enterprise, and automotive. We’re thrilled to have a strategic partner like TSMC to help us continue to push the boundaries of innovation possibilities.”

About Marvell

To deliver the data infrastructure technology that connects the world, we’re building solutions on the most powerful foundation: our partnerships with our customers. Trusted by the world’s leading technology companies for 25 years, we move, store, process and secure the world’s data with semiconductor solutions designed for our customers’ current needs and future ambitions. Through a process of deep collaboration and transparency, we’re ultimately changing the way tomorrow’s enterprise, cloud, automotive, and carrier architectures transform—for the better.


Source: Marvell

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!

2024 Winter Classic: Meet Team Lobo

May 5, 2024

This is the other team from University of New Mexico, since there are two, right? This team has some significant cluster competition experience with two veterans of previous Winter Classic and SC events. It’s a nice mi Read more…

2024 Winter Classic: Meet Team UC Santa Cruz

May 4, 2024

It was a quiet Valentine’s Day evening when I interviewed the UC Santa Cruz team. Since none of us seemed to have any plans, it seemed like a good time to do it. But there was some good news for the Santa Cruz team Read more…

2024 Winter Classic: Meet the Roadrunners

May 4, 2024

This is the other team from the University of New Mexico. I mistakenly thought that one of their team members was going to make history by being the first competitor to compete for two different schools – but I was wro Read more…

2024 Winter Classic: Meet Channel Islands “A”

May 3, 2024

This is the second team from California State University, Channel Islands – or maybe it’s the first team? Not sure, but I do know they have two teams total, and this is one of them. As you’ll see in the video in Read more…

Intersect360 Research Takes a Deep Dive into the HPC-AI Market in New Report

May 3, 2024

A new report out of analyst firm Intersect360 Research is shedding some new light on just how valuable the HPC and AI market is. Taking both of these technologies as a singular unit, Intersect360 Research found that the Read more…

Hyperion To Provide a Peek at Storage, File System Usage with Global Site Survey

May 3, 2024

Curious how the market for distributed file systems, interconnects, and high-end storage is playing out in 2024? Then you might be interested in the market analysis that Hyperion Research is planning on rolling out over Read more…

2024 Winter Classic: Meet Team Lobo

May 5, 2024

This is the other team from University of New Mexico, since there are two, right? This team has some significant cluster competition experience with two veteran Read more…

Hyperion To Provide a Peek at Storage, File System Usage with Global Site Survey

May 3, 2024

Curious how the market for distributed file systems, interconnects, and high-end storage is playing out in 2024? Then you might be interested in the market anal Read more…

Qubit Watch: Intel Process, IBM’s Heron, APS March Meeting, PsiQuantum Platform, QED-C on Logistics, FS Comparison

May 1, 2024

Intel has long argued that leveraging its semiconductor manufacturing prowess and use of quantum dot qubits will help Intel emerge as a leader in the race to de Read more…

Stanford HAI AI Index Report: Science and Medicine

April 29, 2024

While AI tools are incredibly useful in a variety of industries, they truly shine when applied to solving problems in scientific and medical discovery. Research Read more…

IBM Delivers Qiskit 1.0 and Best Practices for Transitioning to It

April 29, 2024

After spending much of its December Quantum Summit discussing forthcoming quantum software development kit Qiskit 1.0 — the first full version — IBM quietly Read more…

Shutterstock 1748437547

Edge-to-Cloud: Exploring an HPC Expedition in Self-Driving Learning

April 25, 2024

The journey begins as Kate Keahey's wandering path unfolds, leading to improbable events. Keahey, Senior Scientist at Argonne National Laboratory and the Uni 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…

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…

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…

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…

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…

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

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…

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…

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…

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…

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 Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel 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…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire