The News: Google recently published data on its AI supercomputer, claiming it to be more powerful and efficient than competing NVIDIA systems. NVIDIA currently holds 90% of the market share in AI hardware and is the leading player in the generative AI boom. However, Google’s announcement suggests increased competition in the AI hardware space, with major tech companies like AWS, Intel, and AMD also developing their own AI hardware solutions. Read more about the announcement here.
The Battle for AI Domination Continues after Latest Google Announcement
Analyst Take: The mass adoption of powerful conversational generative AI has been significantly facilitated by OpenAI’s ChatGPT — which runs on NVIDIA’s A100 chips. This technology has been integrated into software like Bing and has accelerated innovation from companies such as Microsoft, Google, and Adobe. AI hardware and software are both essential for enabling these advanced AI applications.
Google’s announcement of its AI supercomputer is seen as a shot across the bow to the entire industry. With arguably the best data training set and significant investments in AI R&D, Google aims to assert its presence in the market. The company’s AI developments are expected to impact its cloud and overall business, suggesting that Google may have a bigger role to play in the AI space than it’s currently given credit for.
Google’s move to challenge NVIDIA has two main implications: differentiation and cost reduction. As the generative AI revolution becomes more expensive, companies must find ways to lower costs and stand out among competitors. This may lead to Google integrating its AI hardware into its cloud and enterprise offerings to differentiate itself from other cloud service providers.
Other Interesting Developments in the Space
An interesting development in the AI hardware landscape is the appearance of Qualcomm in recent ML perf tests. The company excelled in power efficiency tests, indicating its potential to play a significant role in the data center and edge AI markets. Qualcomm’s focus on environmental factors and investments in edge AI could make it a serious contender in the AI infrastructure space.
As Qualcomm continues to dominate the premium Android smartphone market, its move into the AI infrastructure market is expected to create further competition. This competition will drive innovation and keep costs reasonable across the industry. With the growing importance of edge AI and on-device inference, companies like Qualcomm are poised to make a significant impact on the AI hardware market in the near future.
*This article was written based upon commentary on the Six Five Podcast by Daniel Newman and with the help of ChatGPT
Disclosure: Futurum Research is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum Research as a whole.
Other insights from Futurum Research:
Google Invests $300mn in Artificial Intelligence Start-Up Anthropic, Taking on ChatGPT
Google Bard Takes on Microsoft’s Bing ChatGPT Integration
Author Information
Daniel is the CEO of The Futurum Group. Living his life at the intersection of people and technology, Daniel works with the world’s largest technology brands exploring Digital Transformation and how it is influencing the enterprise.
From the leading edge of AI to global technology policy, Daniel makes the connections between business, people and tech that are required for companies to benefit most from their technology investments. Daniel is a top 5 globally ranked industry analyst and his ideas are regularly cited or shared in television appearances by CNBC, Bloomberg, Wall Street Journal and hundreds of other sites around the world.
A 7x Best-Selling Author including his most recent book “Human/Machine.” Daniel is also a Forbes and MarketWatch (Dow Jones) contributor.
An MBA and Former Graduate Adjunct Faculty, Daniel is an Austin Texas transplant after 40 years in Chicago. His speaking takes him around the world each year as he shares his vision of the role technology will play in our future.
