Tencent and Baidu, two of China’s largest technology companies, revealed how they’re keeping in the global artificial intelligence race even as the U.S. tightens some curbs on key semiconductors.
The business’ methods include stockpiling chips, making AI models more efficient and even using homegrown semiconductors.
Big names in the sector addressed the issue during their latest earnings conference calls.
Martin Lau, president of Tencent — the operator of China’s biggest messaging app WeChat — said his company has a “pretty strong stockpile” of chips that it has previously purchased. He was referring to graphics processing units (GPUs), a type of semiconductor that has become the gold standard for training huge AI models.
These models require powerful computing power supplied by GPUs to process high volumes of data.
But, Lau said, contrary to American companies’ belief that GPU clusters need to expand to create more advanced AI, Tencent is able to achieve good training results with a smaller group of such chips.
“That actually sort of helped us to look at our existing inventory of high-end chips and say, we should have enough high-end chips to continue our training of models for a few more generations going forward,” Lau said.
Regarding inferencing — the process of actually carrying out an AI task rather than just training — Lau said Tencent is using “software optimization” to improve efficiency, in order to deploy the same amount of GPUs to execute a particular function.
Lau added the company is also looking into using smaller models that don’t require such large computing power. Tencent also said it can make use of custom-designed chips and semiconductors currently available in China.
“I think there are a lot of ways [in] which we can fulfill the expanding and growing inference needs, and we just need to sort of keep exploring these venues and spend probably more time on the software side, rather than just brute force buying GPUs,” Lau said.
Baidu’s approach
Baidu, China’s biggest search company, touted what it calls its “full-stack” capabilities — the combination of its cloud computing infrastructure, AI models and the actual applications based on those models, such as its ERNIE chatbot.
“Even without access to the most advanced chips, our unique full stack AI capabilities enable us to build strong applications and deliver meaningful value,” Dou Shen, president of Baidu’s AI cloud business, said on the company’s earnings call this week.
Baidu also touted software optimization and the ability to bring down the cost of running its models, because it owns much of the technology in that stack. Baidu management also spoke about efficiencies that allow it to get more out of the GPUs it possesses.
“With foundation models driving up the need for a massive computing power, the abilities to build and manage large scale GPU clusters and to utilize GPUs effectively has become key competitive advantages,” Shen said.
The Baidu executive also touted the progress made by domestic Chinese technology firms in AI semiconductors, a move he said would help mitigate the impact of U.S. chip curbs.
“Domestically developed self-sufficient chips, along with [an] increasingly efficient home-grown software stack, will jointly form a strong foundation for long-term innovation in China’s AI ecosystem,” Shen said.
China domestic chip focus
China has been ramping up development of chips designed and manufactured on its home soil for the last few years. Most experts agree that Beijing remains overall behind the U.S. in the realm of GPUs and AI chips, but there have been some advances.
Gaurav Gupta, an analyst covering semiconductors at Gartner, said stockpiling is one way Chinese companies are dealing with export restrictions. Additionally, there has been some progress made in semiconductor technology in China, even if it remains behind the U.S., Gupta added.
“China has also been developing its own domestic semiconductor ecosystem, all the way from materials to equipment to chips and packaging. Different segments have made varying levels of progress, but China has been surprisingly extremely consistent and ambitious in this goal, and one must admit that they have achieved decent success,” Gupta told CNBC by email.
“This provides an avenue for them to procure AI chips, which perhaps can’t compete with those from the U.S chip leaders but continue to make progress.”
Many U.S. executives have urged Washington to scrap export restrictions in light of China’s progress. Nvidia CEO Jensen Huang called the curbs a “failure” this week, saying they are doing more damage to American businesses than to China.
Artificial intelligence chipmaker Cerebras Systems said on Friday that it’s withdrawing plans for an IPO, days after announcing that it raised over $1 billion in a fundraising round.
In a filing with the SEC, Cerebras said it does not intend to conduct a proposed offering “at this time,” but didn’t provide a reason. A spokesperson told CNBC on Friday that the company still hopes to go public as soon as possible.
Cerebras filed for an IPO just over a year ago, as it was ramping up to take on Nvidia in an effort to create processors for running generative AI models. The filing revealed a heavy reliance on a single customer in the United Arab Emirates, Microsoft-backed G42, which is also a Cerebras investor.
In its prospectus, Cerebras said it had given voluntary notice to the Committee on Foreign Investment in the United States about selling shares to G42. In March, the company announced that the committee had provided clearance.
Since its initial filing to go public on the Nasdaq, Cerebras has shifted its focus away from selling systems and more toward providing a cloud service for accepting incoming queries to models that use its chips underneath.
The announced withdrawal comes three days into a U.S. government shutdown that’s left agencies like the SEC operating with a small staff. In a plan for a shutdown published in August, the SEC said its electronic system EDGAR “is operated pursuant to a contract and thus will remain fully functional as long as funding for the contractor remains available through permitted means.”
On Tuesday, Cerebras said it had raised $1.1 billion at a valuation of $8.1 billion in a private funding round. At the time, CEO Andrew Feldman said that the company still wanted to go public, rather than continue to raise venture capital.
“I don’t think this is an indication of a preference for one or the other,” he told CNBC in an interview. “I think we have tremendous opportunities in front of us, and I think it’s good practice, when you have enormous opportunities, not to let them fall by the wayside for lack of capital.”
Feldman thought the original prospectus from last year was out of date, especially considering developments in AI, the spokesperson said on Friday.
Well heeled technology companies have been quickly signing up for additional infrastructure to handle demand. On Tuesday CoreWeave, which rents out Nvidia chips through a cloud service, said it had signed a $14.2 billion agreement with Meta. ChatGPT operator OpenAI said last week that it had committed to spending $300 billion on cloud services from Oracle.
The government shutdown did not factor into Cerebras’ decision, the spokesperson said.
An employee arranges a salad dressing display at an Amazon Fresh grocery store on December 12, 2024 in Federal Way, Washington.
David Ryder | Getty Images
Amazon is closing four more Fresh supermarkets in Southern California as the e-commerce giant continues to focus its grocery strategy around Whole Foods and delivery.
The closures will take place in the coming weeks, Amazon confirmed to CNBC. They follow the shuttering of four other U.S. locations in recent months, in Washington, Virginia, New York and a Los Angeles suburb.
“Certain locations work better than others, and after an assessment, we’ve made the decision to close these Amazon Fresh locations,” Amazon spokesperson Griffin Buch said in a statement. “We’re working closely with affected employees to help them find new roles within Amazon wherever possible.”
At one Fresh supermarket in La Verne, California, employees were told to gather for an all-hands meeting on Wednesday, according to an internal message viewed by CNBC. They learned at the meeting that the store would close in mid-November, and that employees would receive a severance package, according to a person familiar with the matter who asked not to be named because the details were confidential.
The other three stores that are closing are in cities of Mission Viejo, La Habra and Whittier.
Last week, Amazon said it intends to close 14 Fresh grocery stores in the U.K. and convert its five other locations there into Whole Foods markets.
Amazon said it regularly evaluates its store portfolio, which can lead to opening, reopening, relocating or closing certain locations. In the U.S., the company has more than 60 remaining Fresh stores. Last year, the company removed its “Just Walk Out” cashierless technology from the stores. It’s also been culling its footprint of Go cashierless convenience stores.
Amazon has been determined to become a major grocery player for nearly two decades. The company launched Amazon Fresh in 2007, then a pilot project for fresh food delivery, before acquiring upscale chain Whole Foods for $13.7 billion in 2017, its biggest purchase on record.
Amazon debuted its Fresh grocery chain in 2020, with an eye toward mass-market shoppers. The rollout has been turbulent since its early days.
The company opened a flurry of Fresh locations by 2022, but the expansion plans ran into CEO Andy Jassy’s widespread cost-cutting efforts as the company reckoned with the impact of rising interest rates and soaring inflation. In 2023, Amazon announced it would shut some Fresh stores and halt further openings temporarily as it evaluated how to make the chain stand out for shoppers.
While it’s closing Fresh stores, Amazon continues to “innovate and invest in making grocery shopping easier, faster, and more affordable,” Buch said. The company still maintains 500 Whole Foods locations and has opened mini “daily shop” Whole Foods stores in New York City.
On Wednesday, Amazon also launched a new “price-conscious” grocery brand that will be offered online and in its physical stores. And last month, Amazon expanded same-day delivery of fresh foods to more pockets of the U.S.
Jassy and other company executives have touted the success of sales of “everyday essentials” within its online grocery business, which refers to items such as canned goods, paper towels, dish soap and snacks. Jassy told investors at the company’s annual shareholder meeting in May that he remains “bullish” on grocery, calling it a “significant business” for Amazon.
Inside Google’s quantum computing lab in Santa Barbara, California.
CNBC
Quantum computing stocks are wrapping up a big week of double-digit gains.
Shares of Rigetti Computing, D-Wave Quantum and Quantum Computing have surged more than 20%. Rigetti and D-Wave Quantum have more than doubled and tripled, respectively, since the start of the year. Arqit Quantum skyrocketed more than 32% this week.
The jump in shares followed a wave of positive news in the quantum space.
Rigetti said it had purchase orders totalling $5.7 million for two of its 9-qubit Novera quantum computing systems. The owner of drugmaker Novo Nordisk and the Danish government also invested 300 million euros in a quantum venture fund.
In a blog post earlier this week, Nvidia also highlighted accelerated computing, which it argues can make “quantum computing breakthroughs of today and tomorrow possible.”