STOCKS MOVE LOWER WITH NVIDIA EARNINGS LOOMING LARGE

Micron Technology, Inc. (MU): Launches World’s Fastest 60TB Data Center SSD, Setting New Standards for AI Workloads

Ghazal Ahmed

Wed, Nov 13, 2024, 8:27 p.m. 5 min read

One conversation gaining traction in Silicon Valley these days is how the advancement of Generative AI models is slowing down. Deirdre Bosa takes a look at the matter in CNBC’s TechCheck, revealing how rapid genAI advancements are now showing signs of deceleration. She notes how the quality of improvement in OpenAI's upcoming model, Orion, is expected to be smaller than the leap from ChatGPT-3 to ChatGPT-4. This smaller advancement is largely due to a limited supply of training data, a key factor that could significantly affect how investors view AI companies.

Nevertheless, OpenAI CEO Sam Altman has boasted on X that ChatGPT is now the eighth-biggest website in the world by traffic. As of October, ChatGPT had 3.7 billion visits, versus Perplexity’s 91 million visits, and Google Gemini's 292 million visits. Nevertheless, the plateau in technology advancement doesn’t necessarily mean a slowdown. For instance, Mark Zuckerberg proposes that there is a lot of opportunity to build consumer enterprise applications on top of the existing technology.

While that is certainly an option, Reuters has reported that artificial intelligence companies are seeking a new path to smarter AI due to the plateau. Ilya Sutskever, co-founder of AI labs Safe Superintelligence (SSI) and OpenAI, told Reuters recently that scaling up pre-training for AI models, which involves using large amounts of unlabeled data to learn language patterns, has reached a plateau.

“The 2010s were the age of scaling, now we're back in the age of wonder and discovery once again. Everyone is looking for the next thing. Scaling the right thing matters more now than ever”.

In light of this, researchers are now looking at a technique called "time testing compute" for improving models during the “inference” phase when such models are being used. The technique will allow the model to test different options instead of giving a single answer. The implications of the technique are far-fetched, having the potential to change the competitive landscape for AI hardware.

Recent AI Developments

Fortune predicts that GenAI funding is going to decelerate this year. However, it also believes that the industry’s recent breakthroughs are among the most profound technological advancements of our time. Regardless of the slowdown in GenAI models, artificial intelligence continues to be a breakthrough in many industries today.

In its first, an artificial intelligence company will be helping publishers rather than attempting to steal its work. While AI isn’t much appreciated in journalism because it seemingly uses journalist work to feed chatbot’s data demands and in turn diverts lesser traffic to the publisher, one startup, founded by Twitter engineers, believes that AI could be a valuable player in the media industry instead. Particle, an AI newsreader, will help readers better understand the news with the help of AI technology, offering more than just a summary.

In other developments, Perplexity, an AI-powered search engine, says it will begin experimenting with ads this week.

“Ad programs like this help us generate revenue to share with our publisher partners. Experience has taught us that subi style="display:none;"ions alone do not generate enough revenue to create a sustainable revenue-sharing program. Advertising is the best way to ensure a steady and scalable revenue stream.”

For this article, we selected AI stocks by going through news articles, stock analysis, and press releases. These stocks are also popular among hedge funds.

Why are we interested in the stocks that hedge funds pile into? The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 275% since May 2014, beating its benchmark by 150 percentage points (see more details here).

A close-up view of a computer motherboard with integrated semiconductor chips.

Micron Technology, Inc. (NASDAQ:MU)

Market Capitalization: $115.42 billion

Micron Technology, Inc. (NASDAQ:MU) is an innovative memory and storage solutions provider. These solutions enable the development of artificial intelligence and generative AI applications.

On November 12, Micron Technology, Inc. (NASDAQ:MU) announced that the 6550 ION NVMe™ is now qualified, meaning it meets all the required standards. The company claims it to be the world's fastest 60TB data center SSD. The storage solution offers top performance, energy efficiency, and endurance; making it ideal for powerful exascale data center deployments.

“The Micron 6550 ION achieves a remarkable 12GB/s while using just 20 watts of power, setting a new standard in data center performance and energy efficiency. Featuring a first-to-market 60TB capacity in an E3.S form factor and up to 20% better energy efficiency than competitive drives, the Micron 6550 ION is a game-changer for high-capacity storage solutions to address the insatiable capacity and power demands of AI workloads”.

Overall MU ranks 7th on our list of AI stocks that broke the Internet. While we acknowledge the potential of MU as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter timeframe. If you are looking for an AI stock that is more promising than MU but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.

Disclosure: None. This article is originally published at Insider Monkey.

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Micron Technology, Inc. (MU): Launches World’s Fastest 60TB Data Center SSD, Setting New Standards for AI Workloads

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Recent AI Developments

Micron Technology, Inc. (NASDAQ:MU)

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