{"id":64749,"date":"2026-03-02T16:18:55","date_gmt":"2026-03-02T15:18:55","guid":{"rendered":"https:\/\/www.apfelpatient.de\/?p=64749"},"modified":"2026-03-02T16:19:06","modified_gmt":"2026-03-02T15:19:06","slug":"apple-outsources-siri-ai-servers-remain-unused","status":"publish","type":"post","link":"https:\/\/www.apfelpatient.de\/en\/rumors\/apple-lagert-siri-aus-ki-server-bleiben-ungenutzt","title":{"rendered":"Apple outsources Siri: AI servers remain unused"},"content":{"rendered":"

Apple has stood for vertical integration and maximum control over its own infrastructure for years. Especially in the field of artificial intelligence, Apple Intelligence was intended to mark the beginning of a new chapter: powerful models, operated in a privacy-friendly manner on Apple's own hardware.<\/strong><\/p>\n\n\n\n

However, recent reports paint a different picture. Parts of Apple's AI servers are apparently sitting unused on warehouse shelves. At the same time, Apple is in advanced talks with Google to run new Siri models in their data centers.<\/p>\n\n\n\n

The underlying reasons reveal structural problems in Apple's cloud strategy, technical limitations of its own infrastructure, and an AI landscape that is changing faster than internal processes can keep up.<\/p>\n\n\n\n

Apple Intelligence and the claim to its own infrastructure<\/h4>\n\n\n\n

With Apple Intelligence, Apple aims to deeply integrate AI capabilities into its own ecosystem. The technical foundation is intended to be Private Cloud Compute \u2013 a server infrastructure developed by Apple specifically designed for privacy-sensitive AI processing.<\/p>\n\n\n\n

The goal was clear:<\/strong> to provide AI services not primarily via external cloud providers, but via in-house hardware.<\/p>\n\n\n\n

However, according to several reports, including those from Bloomberg<\/a> and The Information<\/a>, this very approach is currently reaching its limits.<\/p>\n\n\n\n

Low occupancy: Only about 10 percent of capacity is used<\/h4>\n\n\n\n

A key problem is the utilization of Apple's existing AI infrastructure. Reports indicate that the company is only using an average of around 10 percent of its available capacity.<\/p>\n\n\n\n

This has concrete consequences:<\/strong> Some Apple servers that have already been produced are sitting unused on warehouse shelves.<\/p>\n\n\n\n

The reason appears to be that the initial Apple intelligence features were used significantly less than expected. Demand fell short of forecasts. In this context, the expansion of private cloud computing seems excessive.<\/p>\n\n\n\n

Technical limitations of private cloud computing<\/h4>\n\n\n\n

Besides the low utilization, there are technical problems. Private cloud computing is described as undersized.<\/p>\n\n\n\n

The servers are currently said to be based on modified M2 Ultra processors. However, these chips are considered insufficiently powerful to run modern Frontier models like Gemini. It is precisely such models that are expected to form the basis for the new Siri.<\/p>\n\n\n\n

Additionally, the system is described as requiring extensive maintenance. Software updates are considered complicated and time-consuming. The effort is apparently disproportionate to the benefit.<\/p>\n\n\n\n

While Apple anticipates significantly higher demand for new Siri chatbot features in the future, the current private cloud compute stack does not appear capable of running these models.<\/p>\n\n\n\n

Fragmented cloud infrastructure at Apple<\/h4>\n\n\n\n

Another structural problem lies in the organization of Apple's cloud infrastructure.<\/p>\n\n\n\n

According to the report, the infrastructure is highly fragmented. Different teams operate their technologies independently. There is no central pool of resources that all departments can access. This results in inefficiencies.<\/p>\n\n\n\n