Archive for the 'AI' Category
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October 29, 2024
Nine Things to Remember About the Future of Copper in Computing
By Michael Kanellos, Head of Influencer Relations, Marvell and Vienna Alexander, Marketing Content Intern, Marvell
Is copper dead?
Not by a long shot. Copper technology, however, will undergo a dramatic transformation over the next several years. Here’s a guide.
1. Copper is the Goldilocks Metal
Copper has been a staple ingredient for interconnects since the days of Colossus and ENIAC. It is a superior conductor, costs far less than gold or silver and offers relatively low resistance. Copper also replaced aluminum for connecting transistors inside of chips in the late 90s because its 40% lower resistance improved performance by 15%1.
Copper is also simple, reliable and hearty. Interconnects are essentially wires. By contrast, optical interconnects require a host of components such as optical DSPs, transimpedance amplifiers and lasers.
“The first rule in optical technology is ‘Whatever you can do in copper, do in copper,’” says Dr. Loi Nguyen, EVP of optical technology at Marvell.
2. But It’s Still a Metal
Nonetheless, electrical resistance exists. As bandwidth and network speeds increase, so do heat and power consumption. Additionally, increasing bandwidth reduces the reach, so doubling the data rate reduces distance by roughly 30–50% (see below).
As a result, optical technologies have replaced copper in interconnects five meters or longer in data centers and telecommunication networks.
Source: Marvell
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September 25, 2024
Marvell COLORZ 800 Named Most Innovative Product at ECOC 2024
By Michael Kanellos, Head of Influencer Relations, Marvell
With AI computing and cloud data centers requiring unprecedented levels of performance and power, Marvell is leading the way with transformative optical interconnect solutions for accelerated infrastructure to meet the rising demand for network bandwidth.
At the ECOC 2024 Exhibition Industry Awards event, Marvell received the Most Innovative Pluggable Transceiver/Co-Packaged Module Award for the Marvell® COLORZ® 800 family. Launched in 2020 for ECOC’s 25th anniversary, the ECOC Exhibition Industry Awards spotlight innovation in optical communications, transport, and photonic technologies. This recognition highlights the company’s innovations in ZR/ZR+ technology for accelerated infrastructure and demonstrates its critical role in driving cloud and AI workloads.
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September 22, 2024
Five Things to Know About the Future of Long Distance Optics
By Michael Kanellos, Head of Influencer Relations, Marvell
Coherent optical digital signal processors (DSPs) are the long-haul truckers of the communications world. The chips are essential ingredients in the 600+ subsea Internet cables that crisscross the oceans (see map here) and the extended geographic links weaving together telecommunications networks and clouds.
One of the most critical trends for long-distancer communications has been the shift from large, rack-scale transport equipment boxes running on embedded DSPs often from the same vendor to pluggable modules based on standardized form factors running DSPs from silicon suppliers tuned to the power limits of modules.
With the advent of 800G ZR/ZR+ modules, the market arrives at another turning point. Here’s what you need to know.
It’s the Magic of Modularity
PCs, smartphones, solar panels and other technologies that experienced rapid adoption had one thing in common: general agreement on the key ingredients. By building products around select components, accepted standards and modular form factors, an ecosystem of suppliers sprouted. And for customers that meant fewer shortages, lower prices and accelerated innovation.
The same holds true of pluggable coherent modules. 100 Gbps coherent modules based on the ZR specification debuted in 2017. The modules could deliver data approximately 80 kilometers and consumed approximately 4.5 watts per 100G of data delivered. Microsoft became an early adopter and used the modules to build a mesh of metro data centers1.
Flash forward to 2020. Power per 100G dropped to 4W and distance exploded: 120k connections became possible with modules based on the ZR standard and 400k with the ZR+ standard. (An organization called OIF maintains the ZR standard. ZR+ is controlled by OpenROADM. Module makers often make both varieties. The main difference between the two is the amplifier: the DSPs, number of channels and form factors are the same.) ®
The market responded. 400ZR/ZR+ became adopted more rapidly than any other technology in optical history, according to Cignal AI principal analyst Scott Wilkinson.
“It opened the floodgates to what you could do with coherent technology if you put it in the right form factor,” he said during a recent webinar.
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June 18, 2024
Custom Compute in the AI Era
This article is the final installment in a series of talks delivered Accelerated Infrastructure for the AI Era, a one-day symposium held by Marvell in April 2024.
AI demands are pushing the limits of semiconductor technology, and hyperscale operators are at the forefront of adoption—they develop and deploy leading-edge technology that increases compute capacity. These large operators seek to optimize performance while simultaneously lowering total cost of ownership (TCO). With billions of dollars on the line, many have turned to custom silicon to meet their TCO and compute performance objectives.
But building a custom compute solution is no small matter. Doing so requires a large IP portfolio, significant R&D scale and decades of experience to create the mix of ingredients that make up custom AI silicon. Today, Marvell is partnering with hyperscale operators to deliver custom compute silicon that’s enabling their AI growth trajectories.Why are hyperscale operators turning to custom compute?
Hyperscale operators have always been focused on maximizing both performance and efficiency, but new demands from AI applications have amplified the pressure. According to Raghib Hussain, president of products and technologies at Marvell, “Every hyperscaler is focused on optimizing every aspect of their platform because the order of magnitude of impact is much, much higher than before. They are not only achieving the highest performance, but also saving billions of dollars.”
With multiple business models in the cloud, including internal apps, infrastructure-as-a-service (IaaS), and software-as-a-service (SaaS)—the latter of which is the fastest-growing market thanks to generative AI—hyperscale operators are constantly seeking ways to improve their total cost of ownership. Custom compute allows them to do just that. Operators are first adopting custom compute platforms for their mass-scale internal applications, such as search and their own SaaS applications. Next up for greater custom adoption will be third-party SaaS and IaaS, where the operator offers their own custom compute as an alternative to merchant options.
Progression of custom silicon adoption in hyperscale data centers.
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June 12, 2024
How AI Will Change the Building Blocks of Semis
By Michael Kanellos, Head of Influencer Relations, Marvell
Aaron Thean, points to a slide featuring the downtown skylines of New York, Singapore and San Francisco along with a prototype of a 3D processor and asks, “Which one of these things is not like the other?”
The answer? While most gravitate to the processor, San Francisco is a better answer. With a population well under 1 million, the city’s internal transportation and communications systems don’t come close to the level of complexity, performance and synchronization required by the other three.
With future chips, “we’re talking about trillions of transistors on multiple substrates,” said Thean, the deputy president of the National University of Singapore and the director of SHINE, an initiative to expand Singapore’s role in the development of chipets, during a one-day summit sponsored by Marvell and the university.
