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Amazon Seeks to Offload $8 Billion in Nvidia Chips
Confirmed
In Short: Amazon's move to offload Nvidia chips reflects the growing complexity and competitive landscape in the AI chip market, where companies are increasingly looking to reduce dependency on external suppliers.
Amazon is in talks with investors to sell or lease thousands of Nvidia's advanced chips installed in US data centers, according to the Financial Times. The cloud giant plans to move the chips into a special-purpose vehicle (SPV) and then lease them back, potentially adopting a more asset-light approach to its balance sheet.
The chips, worth about $8 billion, are installed in more than a dozen data centers across five states, including Nevada and Virginia. Amazon could offer an equity stake of up to 10% in the SPV, the report said.
Nvidia CEO Jensen Huang recently emphasized the company's dominance in the AI chip market at the Goldman Sachs Communacopia + Technology conference. He noted that Nvidia's chips are used by major AI labs and companies, including Anthropic, OpenAI, and Google.
Huang also addressed Nvidia's so-called circular deals, where the company invests in firms that later buy its products. He reiterated Nvidia's revenue outlook for next year, highlighting the company's continued growth.
Despite Nvidia's strong position, the company faces increasing competition from hyperscalers like Amazon, Microsoft, and Google, which are developing their own AI chips. Nvidia is also dealing with concerns over chip smuggling to China, with the US government and media questioning the company's due diligence.
Nvidia recently announced its acquisition of AI developer platform Hugging Face for approximately $12.9 billion, aiming to fuel future growth despite some of its largest customers developing their own chips.
Nvidia's spokesperson told Bloomberg that less than one half of one percent of Nvidia products have been diverted to China, downplaying the significance of the issue.
However, the US has arrested another suspect accused of smuggling Nvidia chips into China, highlighting the ongoing challenges Nvidia faces in ensuring compliance with export controls.
Nvidia's strategic acquisitions and partnerships, such as the Hugging Face deal, underscore its efforts to maintain its dominant position in the AI ecosystem.
The SPV deal proposed by Amazon could provide Nvidia with additional revenue streams while allowing the cloud giant to manage its balance sheet more efficiently.
Time will tell whether Nvidia can sustain its stronghold in the AI chip market, given the increasing competition and regulatory challenges it faces.
Nvidia's efforts to address AI safety, such as the Open Agent Safety Platform, also highlight the company's broader strategy to support the AI industry while maintaining its technological leadership.
What this adds
The SPV deal proposed by Amazon could provide Nvidia with additional revenue streams while allowing the cloud giant to manage its balance sheet more efficiently.
Nvidia's efforts to address AI safety, such as the Open Agent Safety Platform, also highlight the company's broader strategy to support the AI industry while maintaining its technological leadership.
What's confirmed
- Amazon is in talks with investors to sell or lease thousands of Nvidia's advanced chips installed in US data centers, according to the Financial Times. The cloud giant plans to move the chips into a special-purpose vehicle (SPV) and then lease them back, potentially adopting a more asset-light approach to its balance sheet.
- The chips, worth about $8 billion, are installed in more than a dozen data centers across five states, including Nevada and Virginia. Amazon could offer an equity stake of up to 10% in the SPV, the report said.
- Nvidia CEO Jensen Huang recently emphasized the company's dominance in the AI chip market at the Goldman Sachs Communacopia + Technology conference. He noted that Nvidia's chips are used by major AI labs and companies, including Anthropic, OpenAI, and Google.
- Huang also addressed Nvidia's so-called circular deals, where the company invests in firms that later buy its products. He reiterated Nvidia's revenue outlook for next year, highlighting the company's continued growth.
- Despite Nvidia's strong position, the company faces increasing competition from hyperscalers like Amazon, Microsoft, and Google, which are developing their own AI chips. Nvidia is also dealing with concerns over chip smuggling to China, with the US government and media questioning the company's due diligence.
- Nvidia recently announced its acquisition of AI developer platform Hugging Face for approximately $12.9 billion, aiming to fuel future growth despite some of its largest customers developing their own chips.
- Nvidia's spokesperson told Bloomberg that less than one half of one percent of Nvidia products have been diverted to China, downplaying the significance of the issue.
- However, the US has arrested another suspect accused of smuggling Nvidia chips into China, highlighting the ongoing challenges Nvidia faces in ensuring compliance with export controls.
- Nvidia's strategic acquisitions and partnerships, such as the Hugging Face deal, underscore its efforts to maintain its dominant position in the AI ecosystem.
- The SPV deal proposed by Amazon could provide Nvidia with additional revenue streams while allowing the cloud giant to manage its balance sheet more efficiently.
- Time will tell whether Nvidia can sustain its stronghold in the AI chip market, given the increasing competition and regulatory challenges it faces.
- Nvidia's efforts to address AI safety, such as the Open Agent Safety Platform, also highlight the company's broader strategy to support the AI industry while maintaining its technological leadership.
What's still developing
- Amazon and Nvidia did not immediately respond to Reuters for comment outside regular business hours.
- “Most people think Nvidia builds a chip. I mean, you need airplanes to ship what we build,” Huang said, adding that the company continues to battle a perception from its early days.
- He took the opportunity to reiterate Nvidia’s revenue outlook for next year — guidance the company provided last month when it reported yet another record-breaking revenue quarter.
- “Nvidia runs every model. Every single lab can use us,” the CEO said, mentioning that this includes models from Anthropic, OpenAI, and Google, as well as open-weight offerings.
- Nvidia invented the GPU, which back then were largely sold to consumers to improve PC gaming.
- “We are a foundational platform of the AI ecosystem, foundational platform of the AI industry.” Nvidia’s fingers extend all the way from its suppliers, such as memory chip makers, to data center projects and startups.
- Apple is exploring a return to dedicated server hardware for the first time since it killed Xserve in 2011, developing enterprise AI inference systems around forthcoming M8 Ultra chips and discussing Nvidia’s NVLink Fusion to link those processors, according to a new report from The Information.
- A launch is not expected before 2029, and the project could still be canceled or ship without Nvidia technology.
- NVLink Fusion is Nvidia’s suite of switches, chiplets, and software for high-bandwidth, low-latency links between chips, including processors that are not Nvidia GPUs.
- Opening that layer to other silicon makers lets Nvidia sell networking even when customers choose alternative compute.
- Hear from @JensenHuang : https://t.co/3GCVTfQvqT The Open Agent Safety Platform combines open-source software called OpenShell with a hardware layer named Sentry that runs on Nvidia’s BlueField-4 data processing units (DPUs), specialized chips that operate apart from the main processor.
- Justin Boitano, Nvidia’s vice president and general manager of enterprise computing, said Sentry can quarantine a suspicious agent within milliseconds if it tries to move beyond its assigned task.