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英伟达探讨智能体软件按GPU年费授权

AI 总结

据 Tom’s Hardware 和 TechSpot报道,英伟达CEO黄仁勋表示,在“AI工厂”运行智能体所需的英伟达软件,授权费示例约为每块GPU每年2,000美元,并称软件授权将逐渐成为公司的重要业务。这个数字只是示例,并非已公布的统一标准;英伟达尚未说明生效时间、适用GPU、覆盖软件及其与AI Enterprise每GPU每年4,500美元订阅的关系。相关讨论发布之际,英伟达还推出了由Vera Rubin基础设施、Vera CPU、BlueField-4 DPU和Nvidia Sentry组成的OpenShell参考架构。

深度见解

英伟达正释放出通过已部署GPU上的软件授权获取企业经常性收入的明确信号,这可能使其业务进一步延伸至硬件之外,但具体收费条款仍未公布。

Nvidia CEO Jensen Huang has put the annual cost of licensing the company’s AI software at around $2,000 per GPU to 'run all the software that Nvidia provides that runs agents on these AI factories,' according to a recent video of the comments (below), a pricing model that could generate $50 billion over five years under a proposed scenario involving five million paid licenses outlined by FourWeekMBA.

Huang discussed the pricing at GTC Berlin on October 22, where the company outlined its broader push to build an AI infrastructure business spanning chips, software and AI-agent security. “Software licensing will become increasingly a major part of our company’s business. The way that we license will be…for example, it’s about $2,000 per GPU per year to run all the software that Nvidia provides that runs agents on these AI factories,” said Huang.

The numbers add up quickly. At $2,000 per GPU each year, Nvidia would bring in $10 billion annually if five million GPUs were covered by paid licenses. Over five years, that would amount to $50 billion, provided customers kept renewing their subscriptions. The catch, however, is that Nvidia has not disclosed how many GPUs could be covered by the proposed $2,000 fee, or whether that’s its standard price. It’s also unclear which software the license would cover, or if there is overlap between products.

#Nvidia#NVIDIA AI Enterprise#OpenShell Reference Architecture#Nvidia Sentry#Vera Rubin#Vera CPU#BlueField-4

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