Updated Aug 7 at 11:21am ET.
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Firmus raised $2 billion in new funding to build out what it calls AI factories across Australia and the Asia Pacific region. These are massive data centers specifically designed to house the high-performance chips needed to train and run artificial intelligence models.
Nvidia participated in the funding round, which is a strategy it often uses to support the companies that buy its chips. By helping these specialized providers grow, Nvidia ensures there is a steady supply of data center space ready to install its hardware as soon as it rolls off the assembly line.
Source: Reuters
QumulusAI has signed a deal to provide Nvidia Blackwell computing power to a hedge fund that uses autonomous AI agents to trade. These agents are software programs that can make decisions and execute tasks on their own, rather than just answering questions. This is a small but clear example of the shift toward agentic AI that management has highlighted as a major growth driver. As more firms move from simple chatbots to autonomous systems that require constant, heavy processing, demand for Nvidia's most advanced chips should remain high.
Source: Business Wire
Zayo is building thousands of miles of new fiber optic cables to connect the regions where AI data centers are growing fastest. This expansion is designed to work specifically with Nvidia's networking technology, which helps different chips inside a data center talk to each other at high speeds. While this is an infrastructure project by a different company, it matters because AI chips are useless if the networks connecting them are too slow. This investment helps clear a potential bottleneck, making it easier for customers to deploy and use large clusters of Nvidia hardware.
Source: Business Wire
Nvidia is hiring for a new engineering team focused on the safety and security of its AI models. This move supports the company's recent push into open-weight models, which are AI systems that allow outside developers to see and tweak the underlying code rather than keeping it locked behind a private service.
By investing in safety tools for these open systems, Nvidia is making its platform more attractive to businesses that want to build their own AI software but are worried about security risks. This helps keep developers tied to Nvidia's ecosystem of chips and software, making it harder for them to switch to a competitor's hardware later on.
AZIO AI has lined up a deal to buy 128 HGX B300 systems, which use Nvidia's latest Blackwell chip architecture. The deal is worth about 77 million dollars and depends on future orders being finalized. While this is a relatively small sale for a company of Nvidia's size, it shows that demand for its newest and most powerful chips remains steady across smaller specialized AI firms, not just the giant cloud providers.
Source: GlobeNewsWire
Analysts flooded the stock with positive updates and higher price targets in late May. Most analysts are bullish, with 60 of 79 rating it a buy and an average target price suggesting 43% upside from today.
The company has beaten analyst estimates for eight straight quarters, often by significant margins. This shows management consistently under-promises and then outruns even the most bullish forecasts.
| Expectation | |
|---|---|
| EPS | $2.08 |
| Revenue | $91.91B |
