Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Source: Tristan Greene/Cointelegraph

The software giant is reportedly developing its own machine learning chips to power AI projects for OpenAI and its own internal teams.

Microsoft has secretly been developing its own artificial intelligence (AI) chips to deal with the rising costs of development for in-house and OpenAI projects, per a report from The Information.

Reportedly in the works since 2019, Microsoft’s recently revealed hardware venture appears to be designed to reduce the Redmond, Washington company’s reliance on Nvidia’s GPUs.

A Google search reveals that the Nvidia H100, one of the more popular GPUs for training machine learning systems, costs as much as $40,000 on reseller services such as eBay amid increasing market scarcity.

These high costs have pushed several Big Tech companies to develop their hardware, with Meta, Google and Amazon all developing machine-learning chips over the past few years.

Details remain scarce as Microsoft hasn’t officially commented yet, but The Information’s report claims that the chips are being developed under the code name “Athena” — perhaps a nod to the Greek goddess of war, as the generative AI arms race continues to heat up.

The report also mentions that the new chips are already being tested by team members from Microsoft’s internal machine-learning staff and OpenAI’s developers.

While one can only speculate at this time as to how OpenAI intends to use Microsoft’s AI chips, the company’s co-founder and CEO, Sam Altman, recently told a crowd at the Massachusetts Institute of Technology that the infrastructure and design that got the company from GPT-1 to GPT-4 is “played out” and will need to be rethought:

“I think we’re at the end of the era where it’s going to be these, like, giant, giant models. We’ll make them better in other ways.”

This comes on the heels of a busy news cycle for the AI sector, with Amazon recently entering the arena as a (somewhat) new challenger with its first self-developed models leaping onto the scene as part of its Bedrock AI infrastructure rollout.

And, on April 17, tech mogul and world’s richest person Elon Musk announced the impending launch of TruthGPT, a supposed “truth-seeking” large language model designed to take on ChatGPT’s alleged left-wing bias, during an interview with Fox News’ Tucker Carlson.

Source: Tristan Greene/Cointelegraph