The increasing power and infrastructure requirements of artificial intelligence technologies continue to create a significant bottleneck in the technology world. While giant companies in the industry are having difficulty meeting this intense demand, they are now putting various restrictions into effect.

Finally, Google decided to restrict Meta’s access to Gemini artificial intelligence models. The main reason for this decision is that the process capacity requested by Meta exceeds Google’s existing infrastructure facilities.

Capacity Constraint Affects Projects

A few weeks ago, Google informed Meta that it could not meet all the Gemini capacity it requested. This situation causes delays in some of Meta’s artificial intelligence projects.

Meta is not the only company affected by this restriction. Other customers using Google Cloud services also face similar capacity issues.

However, Meta’s demand is extraordinarily high compared to other customers, making the company the party most affected by this situation. Although Meta develops its own open source Llama models, it also uses competing technologies to test and compare different models.

Due to this capacity problem, Meta requested its employees to be more efficient in the use of artificial intelligence. Various measures have begun to be implemented to reduce token consumption, which measures the use of artificial intelligence within the company.

Infrastructure Investments Fall Behind Demand

This picture shows that the most critical problem in the field of artificial intelligence is no longer developing models, but providing the infrastructure to run these models. Giants such as Google, Microsoft, Amazon and Meta have invested hundreds of billions of dollars in data centers in the last two years.

On the other hand, the demand for artificial intelligence is ahead of the capacity that current investments can provide. Google CEO Sundar Pichai also touched upon this issue while announcing the last quarter financial results.

Pichai noted that despite strong Google Cloud revenue growth, process power constraints are preventing higher growth. It is said that the customer demands waiting to be met by the company have increased significantly.

What do you think about this infrastructure crisis experienced by technology giants?