Nvidia says its AI business could grow 70% next fiscal year
agentic AI
AI systems that plan and take several actions to complete work.
full-stack AI factory platform
A complete AI computing system combining chips, networking, servers, and software.
circular financing
A funding pattern where a seller helps a buyer, who then buys from that seller.
What happened
Nvidia, the company that makes chips for AI computing, says its revenue could rise about 70% in its next fiscal year. TechCrunch reported this outlook after Nvidia’s August 26 earnings call. Nvidia reported $96.2 billion in revenue for its latest quarter. That was 106% higher than a year earlier. Data center revenue reached $89.0 billion, up 117%.
The 70% figure is a forecast, not a result. Nvidia also said customer forecasts point to demand doubling in the next fiscal year. But the company expects its own supply to support about 70% growth. Memory shortages and other infrastructure limits are slowing how fast it can deliver more systems.
Why Nvidia expects more growth
CEO Jensen Huang pointed to agentic AI. An AI agent can plan tasks, use tools, and repeat several steps. Huang estimated that an agent may need 15 to 100 times more computing than a person using AI directly. That is his estimate, not an independent measurement in this report.
More agents mean more work for chips and data centers. Nvidia also says AI demand now comes from many customers. They include large cloud companies, AI labs, startups, businesses, and regional computing providers.
Nvidia sells a wider platform
Nvidia says it sells more than a GPU. Its platform combines GPUs, CPUs, networking, servers, and software. It calls this a full-stack AI factory platform. The same system can support model training, answer generation, and agent workloads. Nvidia says its Vera Rubin systems have entered production and shipment.
This matters because Nvidia says many customers need a complete system. They may not want to design every part themselves. Nvidia argues that its platform can serve many models and workloads. That broad reach is central to its growth case.
Why the financing debate matters
Nvidia has invested in AI labs. It has also worked with financial firms on funding platforms for data centers. Critics worry about circular financing. Nvidia may support a customer, and that customer may use the support to buy Nvidia systems. Revenue and demand could then reinforce each other.
Huang says independent capital reviews each deal. He also says Nvidia systems can be redeployed to other customers. This is Nvidia’s defense. It does not prove that every investment will be safe or profitable. The sources do not show that the financing model has already failed.
What is confirmed, and what is not
Confirmed: Nvidia’s latest quarter was very strong. The company published a 70% fiscal-year outlook. It also warned that supply will remain a bottleneck. Memory costs are rising, and the company expects margins to fall before recovering.
Not confirmed: whether demand stays high, whether production catches up, whether AI labs turn compute spending into lasting revenue, and whether financing risks remain small.
What to watch next
Nvidia expects $108.0 billion in revenue in the next quarter, plus or minus 2%. Watch Vera Rubin shipments, memory supply, and customer spending. Also watch whether AI companies earn enough from real use to keep buying compute.
The 70% forecast is therefore more than a sales target. It is Nvidia’s claim that agentic AI, broader customers, and a wider platform can keep the infrastructure boom growing. Results will decide whether that claim holds.
Sources: TechCrunch report and NVIDIA’s official results.
Why does Nvidia expect 70% growth?
📰 Full story: Nvidia says its AI business could grow 70% next fiscal year
Nvidia expects strong AI demand. But shortages may limit its sales.
fiscal year
The year a company uses to count its results.
agentic AI
AI that can plan tasks and use tools across several steps.
supply constraint
A shortage that limits how much a company can deliver.
💡 The gist
- Nvidia, an AI chip company, expects revenue to rise 70%.
- AI agents need much more computing than simple chats.
- Supply shortages may limit how many systems Nvidia can sell.
Nvidia makes chips and systems used for AI computing. It reported $96.2 billion in revenue in its latest quarter. Revenue was up 106% from a year earlier. Its data center business brought in $89.0 billion. That business grew 117%.
Nvidia expects revenue to grow about 70% in its next fiscal year. A fiscal year is the year a company uses to count its results. This is a forecast, not a guaranteed result.
CEO Jensen Huang says AI is changing. Many tools can now plan tasks and use other software. These tools are called agentic AI systems. They may need 15 to 100 times more computing than a person using AI directly. That is Huang’s estimate.
Nvidia also sells a complete system. It includes chips, networking, software, and servers. This can help customers build large AI factories. Customers include big cloud companies, AI labs, businesses, and regional computing providers. Nvidia says its Vera Rubin systems are now entering production and shipment.
The company faces a supply constraint. It cannot make unlimited systems. Memory shortages are one problem. Nvidia says customer demand could double. Its own supply can support about 70% growth.
There is also a financing debate. Nvidia invests in AI companies and helps arrange money for data centers. Critics worry that Nvidia-supported customers may buy Nvidia equipment. That could make the market look stronger than it is. Nvidia says outside investors review each deal. It also says its systems can serve other customers.
The next quarter matters. Nvidia expects $108 billion in revenue, plus or minus 2%. Watch shipments, memory costs, and customer income. The big question is simple. Will AI use create lasting business revenue?
Sources: TechCrunch report and NVIDIA’s official results.
Nvidia expects to sell many more AI computer parts
📰 Full story: Nvidia says its AI business could grow 70% next fiscal year
Nvidia makes parts that help AI do computer work.
fiscal year
The year a company uses to count its money.
AI agent
An AI helper that plans and does several steps.
Nvidia, a company that makes AI computer parts, made a forecast.
A forecast is a careful guess about the future. Nvidia thinks its revenue may grow 70% next fiscal year. Revenue means money from selling things. A fiscal year is the year a company uses to count money.
Why does Nvidia think this? AI helpers are doing more steps now. An AI agent is an AI helper that plans and uses tools. It may need many computer calculations. So companies may want more Nvidia parts.
But Nvidia cannot make endless parts. Some memory parts are hard to get. That may slow new AI computers.
People also ask about Nvidia’s money deals. Nvidia sometimes helps AI companies get money. Those companies may then buy Nvidia’s parts. Some people worry the money goes around. Nvidia says other investors check the deals. It also says the computers can help other customers.
The 70% growth is not certain. People will watch Nvidia’s next results. They will see how many parts it ships.
Sources: TechCrunch report and NVIDIA’s official results.