Speaking at GTC Berlin, Huang described a future where enterprises running AI agents, systems that can use tools, access data and execute tasks, would pay an annual subscription for Nvidia’s software stack. “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,” he said.
At $2,000 per GPU per year, five million paid licenses would bring in $10 billion annually. Over five years that would reach $50 billion, assuming customers renew their subscriptions. However, Nvidia has not disclosed how many GPUs the fee would cover, whether that price is standard, or which software it includes. The company already charges $4,500 per GPU for a one-year subscription to its AI Enterprise platform, and it remains unclear how the new figure relates to that existing product.
The licensing discussion comes as Nvidia develops more of the infrastructure needed to deploy and manage AI agents. On October 21, the company announced the OpenShell Reference Architecture, combining its Vera Rubin computing infrastructure, Vera CPUs, and BlueField-4 data processing units running Nvidia Sentry. Sentry monitors agent activity and can quarantine agents that violate defined boundaries. Anthropic is integrating OpenShell and BlueField hardware with Claude Managed Agents, while Salesforce has developed a Slack Admin Bridge for OpenShell that lets administrators review and approve agent access requests.
Huang argued that Nvidia is becoming more than a chip supplier. “One of these days, people might not categorize us as a chip company anymore,” he said on a podcast, pointing to the company’s presence in healthcare, automotive, telecommunications and life sciences. Nvidia has not said when the $2,000-per-GPU fee would take effect or how it fits into its existing enterprise software business.