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Big tech is delighted to rent American chips to Chinese companies banned from buying them

Chinese firms can access Nvidia chips by renting servers in other countries

Jack Raines

One of the defining geopolitical struggles of the last few years has been America’s attempts to limit Chinese access to advanced artificial intelligence chips through export bans. China is America’s biggest rival, the world is in an AI arms race, and America doesn’t want China to take the lead.

For private companies that produce AI chips, however, China doesn’t represent a geopolitical enemy. It represents a customer base. Despite current export bans on chip sales to China, American companies have still found ways to sell “access” to Nvidia’s AI chips to Chinese companies. From The Information:

Both Google Cloud and Microsoft Azure are offering to rent Nvidia’s AI chips to Chinese companies, including AI startups, for use in data centers outside China. But apart from the biggest U.S. tech giants, there is a whole sector of smaller cloud providers specializing in offering access to Nvidia-powered servers around the world, and their services are available to Chinese customers. Some of these cloud providers are based in the U.S., but numerous others are based in Europe and Asia.

Last summer, for example, Google Cloud’s Asia Pacific team contacted a prominent Chinese startup that develops large-language models and offered to rent servers in Europe with Nvidia’s A100 and H100 chips, according to a person with direct knowledge of the talks. U.S. rules block the export of both kinds of chips to China. The approach didn’t lead to a deal.

Microsoft also offers its Nvidia-chip server rental services, including servers with A100 and H100 chips, to Chinese customers through data centers outside China, according to a Microsoft employee with knowledge of the services and a person directly involved in the sales.

In 2019 and 2020, the United States added Huawei and SMIC to a restricted entities list to limit their ability to design chips that rivaled those produced by western companies like Nvidia. This decision was manufacturing-based: the US government didn’t want China to leverage western technology to create its own powerful chips that could be used by its military.

However, since the generative AI boom kicked off with the launch of OpenAI’s ChatGPT in November 2022, the export ban became more complicated. Training a large language model requires a tremendous amount of computing power, and Nvidia’s chips are widely seen as the most powerful on the market. While US export bans still hinder Chinese manufacturers’ abilities to improve their own chips, Chinese tech companies looking to train their own LLMs don’t need physical possession of Nvidia chips. They just need access to servers with Nvidia chips, regardless of where those servers are located.

US Commerce Secretary Gina Raimondo has noted that the US needs to block this practice to prevent China from “training their frontier models,” but for now, the secondary cloud rental market is wide open.

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Meta jumps after it releases Superintelligence Labs’ first model: Muse Spark

The first big release from Meta’s Superintelligence Labs is here — a new multimodal reasoning model called Muse Spark. Shares of Meta spiked on the news, extending gains it had made earlier in the day on optimism over the ceasefire with Iran. The stock was recently up about 9%.

Meta has been playing catch-up in the generative-AI race, watching startups OpenAI and Anthropic leap ahead with ever more capable models, after the bungled rollout of its Llama 4 models.

After an expensive hiring spree assembling an all-star team of AI researchers, investors have been eager to see the fruits of this team, and to see if the accompanying billions of capex dedicated to power it — $115 billion to $135 billion this year alone — were worth it.

Meta says the release is the first in a Muse family of models, which it says it will scale up from over time. The benchmark scores released by Meta show Spark to be capable, with solid scores among popular benchmarks, but not any huge leaps over leading models from Anthropic, OpenAI, xAI, and Google.

Meta CEO Mark Zuckerberg said in post on Threads:

“Looking ahead, we plan to release increasingly advanced models that push the frontier of intelligence and capabilities, including new open source models. We are building products that don't just answer your questions but act as agents that do things for you. I am optimistic that this will support a wave of creativity, entrepreneurship, growth, and health. I'm looking forward to sharing more soon.”

After an expensive hiring spree assembling an all-star team of AI researchers, investors have been eager to see the fruits of this team, and to see if the accompanying billions of capex dedicated to power it — $115 billion to $135 billion this year alone — were worth it.

Meta says the release is the first in a Muse family of models, which it says it will scale up from over time. The benchmark scores released by Meta show Spark to be capable, with solid scores among popular benchmarks, but not any huge leaps over leading models from Anthropic, OpenAI, xAI, and Google.

Meta CEO Mark Zuckerberg said in post on Threads:

“Looking ahead, we plan to release increasingly advanced models that push the frontier of intelligence and capabilities, including new open source models. We are building products that don't just answer your questions but act as agents that do things for you. I am optimistic that this will support a wave of creativity, entrepreneurship, growth, and health. I'm looking forward to sharing more soon.”

tech

Alibaba launches new data center powered by 10,000 of its custom chips

Alibaba announced a new data center in southern China, in a partnership with China Telecom powered by its own Zhenwu chips. The new data center will contain 10,000 of the homegrown chips, and may scale up to 100,000 over time. The data center will be used for both inference and training.

China is racing to build out its own sovereign AI capabilities, and is making significant progress.

While Chinese companies and labs have released many competitive AI models, such as Alibaba’s Qwen, Z.ai’s new GLM-5.1, and the disruptive DeepSeek R1, China is still behind the US when it comes to AI chips, and it has struggled to get hold of the latest Nvidia GPUs due to US export controls.

China is racing to build out its own sovereign AI capabilities, and is making significant progress.

While Chinese companies and labs have released many competitive AI models, such as Alibaba’s Qwen, Z.ai’s new GLM-5.1, and the disruptive DeepSeek R1, China is still behind the US when it comes to AI chips, and it has struggled to get hold of the latest Nvidia GPUs due to US export controls.

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Anthropic: Our new Mythos model is so powerful, we can’t release it

The unusual announcement of the model highlights its alarming new cybersecurity capabilities.

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Bloomberg: Apple’s foldable iPhone is on track for September after all

Scratch that... Actually, Apple’s foldable iPhone may be on track to debut later this year after all.

Hours after a report from Nikkei Asia said Apple was encountering engineering problems with the novel design that could lead to a delayed launch, Bloomberg’s Mark Gurman reports that sources within Apple say the premium foldable iPhone is still on track to launch in September, alongside the iPhone 18 Pro and iPhone 18 Max.

Shares of Apple had plunged more than 5% on word of a possible delay, but pared losses on Gurman’s story.

According to the report, the foldable iPhone will cost more than $2,000 and will be a key part of the company’s plan to revamp the iPhone lineup.

Shares of Apple had plunged more than 5% on word of a possible delay, but pared losses on Gurman’s story.

According to the report, the foldable iPhone will cost more than $2,000 and will be a key part of the company’s plan to revamp the iPhone lineup.

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