×
Apple rumored to be including M4 chip in AI cloud computers by 2025
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

Apple’s AI infrastructure upgrade: Apple is planning to enhance its cloud-based artificial intelligence processing capabilities with new M4 chip-equipped servers, set to be deployed in 2025.

  • The company is in discussions with Foxconn to manufacture new AI servers in Taiwan, aiming to accelerate the rollout of AI-powered features.
  • Apple’s choice of Taiwan for this project is strategic, allowing the company to leverage local engineering talent and R&D resources, particularly those with experience working for Nvidia.

Private Cloud Compute (PCC) technology: Apple’s AI processing relies on a combination of on-device and cloud-based computations, with PCC modules handling more complex requests that local language models cannot process.

  • PCC extends Apple’s device-level security and privacy measures to the cloud, ensuring that personal user data remains inaccessible to third parties, including Apple itself.
  • The system uses custom Apple silicon and a hardened operating system designed specifically for privacy and security in cloud AI computing.

Current PCC hardware: The existing PCC modules primarily utilize the M2 Ultra chip, with some older modules still running on the M1 chip for less demanding tasks.

  • References to Apple’s PCC technology were first discovered by 9to5Mac in early 2023, highlighting the company’s ongoing development in this area.
  • The use of different chip variants suggests a tiered approach to handling AI workloads of varying complexity.

Upcoming M4 chip integration: The next generation of PCC modules, slated for production in 2025, will feature the latest M4 chip, representing a significant upgrade in AI processing capabilities.

  • While the specific variant of the M4 chip to be used in these modules is not yet confirmed, it’s likely to be the unreleased M4 Ultra, given the demanding nature of cloud AI tasks.
  • Apple has already introduced the M4, M4 Pro, and M4 Max variants, with each successive model offering enhanced AI performance.

Implications for Apple’s AI strategy: The planned upgrade to M4-equipped PCC modules signals Apple’s commitment to advancing its AI capabilities and maintaining a competitive edge in the rapidly evolving AI landscape.

  • This move could potentially enable more sophisticated AI features across Apple’s product ecosystem, improving services like Siri, image recognition, and natural language processing.
  • The focus on privacy and security in cloud AI processing aligns with Apple’s longstanding emphasis on user data protection, potentially differentiating its AI offerings from competitors.

Broader context: Apple’s investment in advanced AI infrastructure reflects the growing importance of artificial intelligence in consumer technology and cloud services.

  • As AI becomes increasingly central to user experiences and product functionality, companies are racing to develop more powerful and efficient AI processing capabilities.
  • Apple’s approach, combining on-device processing with secure cloud computing, represents a unique strategy in balancing performance with privacy concerns.
Apple to upgrade its AI cloud computers with the M4 chip next year

Recent News

AI agents and the rise of Hybrid Organizations

Meta makes its improved AI image generator free to use while adding visible watermarks and daily limits to prevent misuse.

Adobe partnership brings AI creativity tools to Box’s content management platform

Box users can now access Adobe's AI-powered editing tools directly within their secure storage environment, eliminating the need to download files or switch between platforms.

Nvidia’s new ACE platform aims to bring more AI to games, but not everyone’s sold

Gaming companies are racing to integrate AI features into mainstream titles, but high hardware requirements and artificial interactions may limit near-term adoption.