Lisa Su displays an ADM Instinct M1300 chip as she delivers a keynote address at CES 2023 at The Venetian Las Vegas on January 04, 2023 in Las Vegas, Nevada.
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AMD said on Tuesday its most-advanced GPU for artificial intelligence, the MI300X, will start shipping to some customers later this year.
AMD’s announcement represents the strongest challenge to Nvidia, which currently dominates the market for AI chips with over 80% market share, according to analysts.
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GPUs are chips used by firms like OpenAI to build cutting-edge AI programs such as ChatGPT.
If AMD’s AI chips, which it calls “accelerators,” are embraced by developers and server makers as substitutes for Nvidia’s products, it could represent a big untapped market for the chipmaker, which is best known for its traditional computer processors.
AMD CEO Lisa Su told investors and analysts in San Francisco on Tuesday that AI is the company’s “largest and most strategic long-term growth opportunity.”
“We think about the data center AI accelerator [market] growing from something like $30 billion this year, at over 50% compound annual growth rate, to over $150 billion in 2027,” Su said.
While AMD didn’t disclose a price, the move could put price pressure on Nvidia’s GPUs, such as the H100, which can cost $30,000 or more. Lower GPU prices may help drive down the high cost of serving generative AI applications.
AI chips are one of the bright spots in the semiconductor industry, while PC sales, a traditional driver of semiconductor processor sales, slump.
Last month, AMD CEO Lisa Su said on an earnings call that while the MI300X will be available for sampling this fall, it would start shipping in greater volumes next year. Su shared more details on the chip during her presentation on Tuesday.
“I love this chip,” Su said.
The MI300X
AMD said that its new MI300X chip and its CDNA architecture were designed for large language models and other cutting-edge AI models.
“At the center of this are GPUs. GPUs are enabling generative AI,” Su said.
The MI300X can use up to 192GB of memory, which means it can fit even bigger AI models than other chips. Nvidia’s rival H100 only supports 120GB of memory, for example.
Large language models for generative AI applications use lots of memory because they run an increasing number of calculations. AMD demoed the MI300x running a 40 billion parameter model called Falcon. OpenAI’s GPT-3 model has 175 billion parameters.
“Model sizes are getting much larger, and you actually need multiple GPUs to run the latest large language models,” Su said, noting that with the added memory on AMD chips developers wouldn’t need as many GPUs.
AMD also said it would offer an Infinity Architecture that combines eight of its M1300X accelerators in one system. Nvidia and Google have developed similar systems that combine eight or more GPUs in a single box for AI applications.
One reason why AI developers have historically preferred Nvidia chips is that it has a well-developed software package called CUDA that enables them to access the chip’s core hardware features.
AMD said on Tuesday that it has its own software for its AI chips that it calls ROCm.
“Now while this is a journey, we’ve made really great progress in building a powerful software stack that works with the open ecosystem of models, libraries, frameworks and tools,” AMD president Victor Peng said.
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Google on Friday made the latest a splash in the AI talent wars, announcing an agreement to bring in Varun Mohan, co-founder and CEO of artificial intelligence coding startup Windsurf.
As part of the deal, Google will also hire other senior Windsurf research and development employees. Google is not investing in Windsurf, but the search giant will take a nonexclusive license to certain Windsurf technology, according to a person familiar with the matter. Windsurf remains free to license its technology to others.
“We’re excited to welcome some top AI coding talent from Windsurf’s team to Google DeepMind to advance our work in agentic coding,” a Google spokesperson wrote in an email. “We’re excited to continue bringing the benefits of Gemini to software developers everywhere.”
The deal between Google and Windsurf comes after the AI coding startup had been in talks with OpenAI for a $3 billion acquisition deal, CNBC reported in April. OpenAI did not immediately respond to a request for comment.
The move ratchets up the talent war in AI particularly among prominent companies. Meta has made lucrative job offers to several employees at OpenAI in recent weeks. Most notably, the Facebook parent added Scale AI founder Alexandr Wang to lead its AI strategy as part of a $14.3 billion investment into his startup.
Douglas Chen, another Windsurf co-founder, will be among those joining Google in the deal, Jeff Wang, the startup’s new interim CEO and its head of business for the past two years, wrote in a post on X.
“Most of Windsurf’s world-class team will continue to build the Windsurf product with the goal of maximizing its impact in the enterprise,” Wang wrote.
Windsurf has become more popular this year as an option for so-called vibe coding, which is the process of using new age AI tools to write code. Developers and non-developers have embraced the concept, leading to more revenue for Windsurf and competitors, such as Cursor, which OpenAI also looked at buying. All the interest has led investors to assign higher valuations to the startups.
This isn’t the first time Google has hired select people out of a startup. It did the same with Character.AI last summer. Amazon and Microsoft have also absorbed AI talent in this fashion, with the Adept and Inflection deals, respectively.
Microsoft is pushing an agent mode in its Visual Studio Code editor for vibe coding. In April, Microsoft CEO Satya Nadella said AI is composing as much of 30% of his company’s code.
The Verge reported the Google-Windsurf deal earlier on Friday.
Jensen Huang, CEO of Nvidia, holds a motherboard as he speaks during the Viva Technology conference dedicated to innovation and startups at Porte de Versailles exhibition center in Paris, France, on June 11, 2025.
The sale, which totals 225,000 shares, comes as part of Huang’s previously adopted plan in March to unload up to 6 million shares of Nvidia through the end of the year. He sold his first batch of stock from the agreement in June, equaling about $15 million.
Last year, the tech executive sold about $700 million worth of shares as part of a prearranged plan. Nvidia stock climbed about 1% Friday.
Huang’s net worth has skyrocketed as investors bet on Nvidia’s AI dominance and graphics processing units powering large language models.
The 62-year-old’s wealth has grown by more than a quarter, or about $29 billion, since the start of 2025 alone, based on Bloomberg’s Billionaires Index. His net worth last stood at $143 billion in the index, putting him neck-and-neck with Berkshire Hathaway‘s Warren Buffett at $144 billion.
Shortly after the market opened Friday, Fortune‘s analysis of net worth had Huang ahead of Buffett, with the Nvidia CEO at $143.7 billion and the Oracle of Omaha at $142.1 billion.
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The company has also achieved its own notable milestones this year, as it prospers off the AI boom.
On Wednesday, the Santa Clara, California-based chipmaker became the first company to top a $4 trillion market capitalization, beating out both Microsoft and Apple. The chipmaker closed above that milestone Thursday as CNBC reported that the technology titan met with President Donald Trump.
Brooke Seawell, venture partner at New Enterprise Associates, sold about $24 million worth of Nvidia shares, according to an SEC filing. Seawell has been on the company’s board since 1997, according to the company.
Huang still holds more than 858 million shares of Nvidia, both directly and indirectly, in different partnerships and trusts.
Elon Musk meets with Indian Prime Minister Narendra Modi at Blair House in Washington DC, USA on February 13, 2025.
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Tesla will open a showroom in Mumbai, India next week, marking the U.S. electric carmakers first official foray into the country.
The one and a half hour launch event for the Tesla “Experience Center” will take place on July 15 at the Maker Maxity Mall in Bandra Kurla Complex in Mumbai, according to an event invitation seen by CNBC.
Along with the showroom display, which will feature the company’s cars, Tesla is also likely to officially launch direct sales to Indian customers.
The automaker has had its eye on India for a while and now appears to have stepped up efforts to launch locally.
In April, Tesla boss Elon Musk spoke with Indian Prime Minister Narendra Modi to discuss collaboration in areas including technology and innovation. That same month, the EV-maker’s finance chief said the company has been “very careful” in trying to figure out when to enter the market.
Tesla has no manufacturing operations in India, even though the country’s government is likely keen for the company to establish a factory. Instead the cars sold in India will need to be imported from Tesla’s other manufacturing locations in places like Shanghai, China, and Berlin, Germany.
As Tesla begins sales in India, it will come up against challenges from long-time Chinese rival BYD, as well as local player Tata Motors.
One potential challenge for Tesla comes by way of India’s import duties on electric vehicles, which stand at around 70%. India has tried to entice investment in the country by offering companies a reduced duty of 15% if they commit to invest $500 million and set up manufacturing locally.
HD Kumaraswamy, India’s minister for heavy industries, told reporters in June that Tesla is “not interested” in manufacturing in the country, according to a Reuters report.
Tesla is looking to recruit roles in Mumbai, job listings posted on LinkedIn . These include advisors working in showrooms, security, vehicle operators to collect data for its Autopilot feature and service technicians.
There are also roles being advertised in the Indian capital of New Delhi, including for store managers. It’s unclear if Tesla is planning to launch a showroom in the city.