Server computing, a market propelled by AI and data-intensive

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“Between new opportunities and requirements brought by 5G, high-end AI and HPC computing workloads, and growing pressure to limit and in fact reduce power consumption, the datacenter server computing market is facing many technical challenges.” asserts Adrien Sanchez, Technology & Market Analyst, Computing & Software division at Yole Intelligence, part of Yole Group. 
What are the benefits and pitfalls of the various types of IC, with a focus on CPU , GPU , and PLP such as FPGA s and AI accelerators? What are the dynamics and outcomes of technology trends such as workload specialization and unit integration?

Titre du visuel

june 2021

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In this context, Yole investigates disruptive technologies and related markets in depth, to point out the latest innovations and underline the business opportunities.
Released today, the Computing for Datacenter Servers 2021 report contributes to the understanding of the impact on computing chips which can be found in datacenter servers, of key markets, such as cloud computing, enterprise digitalization, social and media, AI training and AI inference. This report provides a scenario for computing in this dynamic market and presents an understanding of the impact of both high-level workloads, including AI and HPC, and massive volume tasks such as video streaming. Including market trends and forecasts, supply chain, technology trends, technical insights and analysis, take away and outlook, this study also delivers an in-depth understanding of the ecosystem and main players’ strategies.
What are the economic and technological challenges of the computing for datacenter industry? What are the key drivers? Who are the suppliers to watch, and what innovative technologies are they working on? What are the impacts of technology transition in datacenter business such as 5G or rising constraints such as power consumption?
Yole presents today its vision of the computing for datacenter servers industry.

As analyzed by Yole’s team in the new Computing for Datacenter Servers 2021 report, from one side the share of specialized chips such as GPU, PLP and accelerators is increasing, and from another side more and more units are integrated into a single chip to address more workloads. Artificial Intelligence algorithms are driving both of these trends, with dedicated accelerators but also and dedicated units integrated into each type of chip.
Dedicating the computing to a specific type of algorithm through faster and more energy-efficient chips is a central trend, which is leading either to the use of dedicated chips such as FPGAs and accelerators or to the integration of specialized units into other chips.

On the one hand, the IC datacenter server market has been boosted by large-volume demand with the digitalization of companies, an existing trend which was boosted even more by COVID-19, as well as by consumer applications, such as social networks and media applications.
According to Adrien Sanchez from Yole“These two data-intensive applications rely heavily on video streaming which requires intensive computing capabilities, while they also put pressure on bandwidth. This is leading progressively to a new network organization which is less centralized and closer to the edge”.
On the other hand, high-end applications using HPC and the spread of AI in every vertical are requiring more and more capabilities. And today most of the AI training and a still important portion of AI inferences are done in large datacenters. Yole’s analysts expect the associated revenues will grow with a CAGR of more than 10% in the coming years, reaching a total of US$33 billion in 2025.

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