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Nvidia reportedly considers another investment in Perplexity AI at $30B valuation

Nvidia is in talks to invest in AI search startup Perplexity AI, potentially valuing it at over $30 billion, up from $20 billion a year ago, The Information reports.

The potential valuation would represent a jump of more than 50% from the $20 billion Perplexity finalized about a year ago. The size of Nvidia's investment was not disclosed.

Perplexity's business has grown rapidly. The Information reported that its annualized revenue run rate has reached $750 million, up from less than $250 million at the start of the year, roughly tripling in eight months. Much of that growth is attributed to Perplexity Computer, a cloud-based AI agent introduced in April for Mac computers and later expanded to Windows devices. The agent automates tasks such as editing documents, updating spreadsheets, organizing files, and conducting online research.

The proposed investment would deepen an existing relationship. Nvidia is already a major investor in Perplexity, alongside Amazon founder Jeff Bezos and SoftBank Group. Nvidia's motivation includes protecting its chip ecosystem: the company wants to ensure that AI search remains aligned with its hardware and does not shift to rivals such as Advanced Micro Devices and Cerebras Systems.

Perplexity's distribution efforts add strategic value. Its integration with Samsung Electronics' Bixby assistant brings its search capabilities to about 800 million devices globally. The company is also believed to be targeting a 2028 initial public offering, giving Nvidia a clear timeline for return on investment.

Nvidia has made similar investments across its major compute customers, including OpenAI, Anthropic, xAI, Poolside, and Safe Superintelligence. It is also providing direct financing for AI infrastructure, recently striking a deal with six Wall Street banks to offer more than $500 billion in financing. Perplexity has been building out its infrastructure, striking a $750 million deal with Microsoft to use Azure for its AI workloads.