Every Oracle stock investor should keep an eye on this key number in December

Every Oracle stock investor should keep an eye on this key number in December

oracle (NYSE:ORCL) was founded in 1977 and has been involved in almost every technological revolution since then. The company first rose to prominence with its database management software, but then it helped its business customers prepare for the dawn of the Internet, cloud computing, and now artificial intelligence (AI).

Oracle operates some of the best data center infrastructure in the industry for developing AI, and demand significantly exceeds supply. The company will report its financial results for the first quarter of fiscal 2025 (ended November 30) in early December, and there’s one number every investor should keep an eye on.

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People look at a mobile device in front of stacks of supercomputers.
Image source: Getty Images.

To make AI chatbots and software applications “smarter,” they need to run on larger Large Language Models (LLMs). Industry-leading LLMs – like those developed by OpenAI and Anthropic – now have trillions of parameters, making them well-versed in a wide range of topics. Training these LLMs requires a lot of computing power, as does making them available to customers, which is called the AI ​​inference phase.

Both training and inference take place in data centers equipped with graphics processing units (GPUs) from vendors such as: B. are filled Nvidia. Tech giants like Oracle build, manage and rent this infrastructure to developers for a fee, usually charged per minute. Therefore, these developers will flock to data center providers with the fastest data centers as this typically means lower costs.

Oracle Cloud Infrastructure (OCI) superclusters allow developers to scale up to 65,536 Nvidia GPUs (and soon more than 131,000 of the latest Blackwell GPUs), which is more than any other data center provider. Additionally, the company’s RDMA (Random Direct Memory Access) network technology transfers data from one point to another much faster than traditional Ethernet networks, contributing to lower costs.

Automation is another key factor. Regardless of size, every Oracle data center is identical in terms of functionality. This means the company can operate them all through software without the need for human staff. This of course keeps costs down, but also enables Oracle to set up and commission new data centers extremely quickly.

Oracle is widely considered one of the most cost-effective data center operators in the industry, attracting top AI startups like OpenAI, Cohere and Elon Musk’s xAI. In fact, the company can’t keep up with demand – as of the first quarter of fiscal 2025, it had 162 data centers either operating or under construction, but it plans to have between 1,000 and 2,000 at some point.

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