Nvidia may be getting even deeper into the AI ecosystem.
The chip giant is reportedly in talks to invest in Perplexity at a valuation above $30 billion, according to reports cited by Augment Markets. If the deal goes through, it would mark another major Nvidia bet on the companies building the next layer of AI beyond chips.
And this is not happening in isolation.
Nvidia has made several moves across the AI stack this month, from software and AI infrastructure to specialized chips and now potentially one of the fastest-growing AI search companies.
At the same time, the broader private AI market is showing a more complicated picture. Some of the biggest names continue to attract enormous demand, while the median private-company trade is starting to look less generous.
That contrast is becoming increasingly important.
Perplexity could be worth more than $30 billion
Perplexity last raised money at a $20 billion valuation in September 2025.
Since then, the company has reportedly seen a sharp increase in revenue. Its annualized revenue has reportedly climbed from less than $250 million at the beginning of the year to more than $750 million.
One of the products helping drive that growth is Perplexity Computer, an AI agent designed to automate tasks across a computer rather than simply answer questions.
That growth helps explain why investors may be willing to put a much higher value on the company.
If Nvidia invests at a valuation above $30 billion, it would represent a substantial increase from Perplexity’s previous funding mark.
But there is an important caveat.
The investment has not been finalized.
The reported talks could still fall apart, and a headline private-market valuation does not necessarily mean that the entire company could be bought or sold at that price.
Why Nvidia keeps making these bets
Nvidia is already one of the biggest beneficiaries of the AI boom because its GPUs power much of the industry’s computing infrastructure.
But the company is increasingly looking beyond hardware.
This month alone, Nvidia has reportedly been involved in several different types of AI deals.
Poolside: Nvidia reportedly agreed to a non-exclusive $6 billion technology license while also investing $1 billion in the company at a reported $12 billion pre-money valuation.
Rebellions: Nvidia has reportedly held early discussions with the Korean inference-chip company about a potential partnership, investment or acquisition. Rebellions was last valued at around $2.3 billion.
Perplexity: Nvidia is reportedly discussing a direct investment at a valuation above $30 billion.
These are very different transactions, but they point to the same broader strategy.
Nvidia is positioning itself across multiple parts of the AI ecosystem.
It is not just supplying the chips. It is also building relationships with companies developing models, agents, software and alternative computing technologies.
That could give Nvidia a better view of where AI spending is heading next.
But there is another story underneath the headline
The Perplexity deal sounds like another example of private AI valuations going through the roof.
And at the very top of the market, that is certainly happening.
But look beyond the biggest names and the picture becomes more mixed.
According to Forge’s July private-market data, the median secondary-market trade took place at a 7% discount to the company’s last funding round.
In June, the median trade was roughly at the previous funding price.
That means private-company investors, on average, were becoming less willing to pay the same prices that companies had achieved in their most recent fundraising rounds.
That is a meaningful change.
It does not mean the private AI market is collapsing. Instead, it suggests that investors are becoming more selective.
AI valuations are splitting into winners and everyone else
The difference is particularly noticeable when you compare the biggest AI companies with the broader private market.
Reported secondary-market data recently implied a valuation of more than $1 trillion for Anthropic, above its reported $965 billion valuation from its May funding round.
OpenAI also completed a $7 billion employee share sale at an $852 billion valuation on August 10.
So while the median private-company trade was happening at a discount, some of the most sought-after AI companies were still commanding higher prices.
That tells us something important about the current market.
Investors are not walking away from AI. They are concentrating their money in companies they believe have the strongest growth and positioning.
Perplexity appears to be one of those companies.
Its reported revenue growth is attracting attention, while products such as Perplexity Computer give investors another reason to believe the company could become more than an AI search engine.
The strategic investor effect
There is also a detail that is easy to miss when looking at private-company valuations.
Not every dollar invested carries the same message.
When a company raises money from a financial investor, the primary motivation is generally the potential financial return.
A strategic investor can have additional reasons for investing.
For Nvidia, investing in an AI company could create commercial relationships, strengthen its position in a particular part of the ecosystem, provide access to technology or simply give it a closer relationship with a potential future customer or partner.
That means a valuation agreed upon with a strategic investor may not always represent what the broader private market would pay.
This is especially relevant when looking at companies such as Perplexity.
A $30 billion-plus valuation would be significant, but it should not automatically be treated as a clean measure of the company’s fair market value.
Private-company shares are less liquid, transactions are less frequent and investors can receive different rights depending on the structure of the deal.
Then there is Cerebras
Another interesting data point comes from Cerebras, the AI chip company that went public in May.
The stock surged sharply on its first day of trading.
Three months later, it had fallen back to around its $185 IPO price.
That is a useful reminder about how quickly market expectations can change.
A huge first-day move can create headlines and make a company appear dramatically more valuable overnight.
But once the stock has traded publicly for several months, the market gets more information about the business, demand and investor appetite.
The eventual price can look very different from the excitement surrounding the IPO.
The same principle applies to private AI companies.
A funding round gives us a valuation, but it does not necessarily tell us what the company would be worth in every market environment.
What this means for the AI boom
The bigger story is not that AI valuations are either rising or falling.
Both things are happening at the same time.
The strongest AI companies continue to attract extraordinary amounts of capital.
At the same time, the broader private market is showing signs of becoming more disciplined.
That creates a very different environment from the early stages of the AI boom, when almost any company with an AI angle could attract significant attention.
Now investors appear to be asking harder questions:
- How fast is revenue actually growing?
- Can that growth continue?
- Does the company have a real competitive advantage?
- How expensive is it to serve each customer?
- Who controls the underlying infrastructure?
- Can the company become a large, profitable business?
Perplexity’s reported growth puts it in an attractive position, but a $30 billion-plus valuation also creates a much higher bar for the company to clear.
The Nvidia strategy is worth watching
For Nvidia, these investments could become an increasingly important part of its AI strategy.
The company already sits at the center of the industry’s infrastructure.
Now it appears to be building exposure to the companies that could shape what happens after the computing layer.
AI agents, inference chips, AI software and AI search are all potential parts of the next phase.
If Nvidia continues investing across these categories, it could end up with relationships throughout the AI supply chain rather than relying solely on GPU demand.
And that may be the most interesting part of the Perplexity story.
The question is no longer just how much Nvidia can sell in AI chips.
It is also becoming a question of how much of the AI ecosystem Nvidia wants to own, fund or influence.
What to watch next
The Perplexity talks are still just that: talks.
There is no confirmed deal yet.
But several developments could provide a clearer picture of where the AI market is heading:
- Perplexity’s next funding round: A confirmed deal would establish a new private-market valuation.
- Anthropic’s potential S-1 filing: A public filing would provide significantly more financial information than private-market reports.
- Forge’s next data release: It could show whether July’s 7% median discount was temporary or part of a broader shift.
- Nvidia and Rebellions: The eventual structure of any deal could reveal how aggressively Nvidia is pursuing inference technology.
- Nvidia’s broader investment strategy: More deals could show whether the company is deliberately building a portfolio across the entire AI stack.
For now, the message from the private market is fairly clear.
AI is still attracting huge amounts of money. But investors are becoming much more selective about where they put it.
And Nvidia appears determined to be on as many sides of that equation as possible.