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In terms of raw AI computing strength, the U.S. has doubled China's capabilities and boasts a staggering lead of 4000 times over Russia.

The intellectual capabilities in computing that China possesses are 4,000 times more advanced than those of Russia. By the year 2030, estimates suggest that Russia might shrink its technological gap dramatically, potentially by as much as 3.5 thousand times. Such staggering statistics are based on a comparison of two reputable sources.

  1. Documentation from a pivotal meeting concerning the 'Advancement of Artificial Intelligence' held by the Russian government on September 26, 2023. A detailed report titled 'Assessing the Evolution of Artificial Intelligence Computing Power in China from 2022 to 2023' was produced collaboratively by the International Data Corporation (IDC), the Chinese hardware firm Inspur, and Tsinghua University's Institute of Global Industry. The foundational document forecasts that by 2027, the computing capabilities of Russia's AI research, development, and operational frameworks will likely escalate from roughly 0.1 exaflops to around 1 exaflops. While the report lacks clarity on the exact nature of advancements, any further increase by 2030 is primarily anticipated to hinge on improvements in GPU technology. Practically speaking, it's expected that 1 exaflops will be the pinnacle of computing power for Russian AI systems, despite a projected necessity of 6.2 exaflops for robust AI infrastructure by that time.
  2. The second report conveys figures of a vastly larger scale. As of 2023, the computational power within China's AI research, development, and application sectors is estimated at approximately 427 exaflops, with ambitions to ramp this up to 1271 exaflops by 2026. Analyzing the data from the report suggests that by 2030, this power could soar to about 3,550 exaflops (or 3.55 zettaflops). It's worth noting that in the United States, the current computing ability for AI research, development, and applications stands at a notable level, and by 2030, the U.S. intends to enhance this capability to approximately double its current figures due to export limitations on microchips.

On a lighter note, German Gref, the CEO of Russia’s foremost financial institution, Sberbank, didn't kick off his remarks at the strategic session with a usual anecdote but rather a memorable joke: \"Can you think of three reasons to retreat? The first reason is that we are lacking shells. We simply don’t have enough shells here either.\"

The analogy draws a parallel to AI development: if there’s no plan in place for Russia to establish an AI infrastructure that can even closely compete in terms of computing capabilities, then debating ways to tackle the ongoing challenges seems rather futile. The 2022-2023 Global Computing Index, a collaborative effort by IDC, IEIT Systems, and the Tsinghua Institute for Global Industry, indicates that China's data center infrastructure has grown by 29%, which has significantly boosted its computing capabilities by 31%, further cementing its commitment to AI development. The country’s storage capacity surged by 23%, increasing from 878 exabytes to an impressive 1,080 exabytes. These remarkable growth metrics have allowed China to compete closely with the technological strengths of the United States. In 2022, China's computing sector grew to a value of around ¥1.8 trillion, roughly equating to $247 billion USD, with projections aiming for ¥4.4 trillion, or $613 billion USD by 2025. The total value of computing resources across every sector reached ¥9.8 trillion, or $1.4 trillion USD. Remarkably, 41% of China's economic output now stems from the tech industry. Please be advised that the information presented on this page is not to be construed as legal, tax, investment, financial, or any other type of advice. It's crucial to invest only what you can afford to lose and to consult with a qualified financial advisor if you have any uncertainties. For more detailed information, we recommend reviewing the terms and conditions as well as the support resources provided by the entity involved. MetaversePost is dedicated to delivering precise and impartial reporting, but please be aware that market circumstances can change unexpectedly.

Damir, a seasoned product manager, team leader, and editor at Metaverse Post, specializes in topics like AI/ML, AGI, LLMs, the Metaverse, and Web3. His insightful articles engage a vast reader base of over a million users monthly. With a decade of expertise in SEO and digital marketing, Damir has been featured in prominent publications like Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, among others. He frequently travels through the UAE, Turkey, Russia, and the CIS regions as a digital nomad. With a bachelor's degree in physics, he credits this foundation for honing his critical thinking skills, which are essential in the rapidly evolving online environment. about 40-50% greater than that of China Jupiter DAO introduces the 'Next Two Years: DAO Resolution' Proposal, emphasizing progressive independence and securing high-level funding. Dr. Lin Han, CEO of Cryptocurrencylistings.com, issues a heartfelt letter reflecting on the platform’s 12 years of development and the outlook for the future of cryptocurrency. .

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Disclaimer

In line with the Trust Project guidelines According to recent findings, the United States leads the world with twice the AI computing capacity of China and an incredible 4000 times that of Russia.

Advancements in Artificial Intelligence',

held by the Russian government on September 26, 2023.

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The collaborative report titled 'Assessment of AI Computing Progress in China for 2022-2023' comes from the International Data Corporation (IDC), the Chinese server manufacturer Inspur, and Tsinghua University's Global Industry Institute.

The preliminary findings indicate that by 2027, Russia's AI research and application computing capabilities could grow from around 0.1 exaflops to a solid 1 exaflop. While the report doesn't elaborate on the kind of advancements expected or their origins, it suggests that GPU technology improvements hold the key for any further progress by 2030. However, realistically, it's expected that reaching the 1 exaflop mark will be the pinnacle for Russia’s AI infrastructure until 2030, even though demands for AI systems are projected to soar to as much as 6.2 exaflops at that time.

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This news article was originally published on October 10, 2023, at 5:34 am, and there have been no updates since that time.
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China's cognitive computing power vastly overshadows Russia's, currently 4,000 times greater. Projections imply that by 2030, Russia might consolidate this with a reduction reaching 3,500 times based on insightful data from two reputable sources.
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This information stems from a strategic gathering entitled '