AWS launches the EC2 Mac instances fed by M4 for a faster 20% iOS development


In a decision that highlights Amazon Web Services’ deepening links with Apple, the Cloud giant unveiled its latest EC2 Mac instances fed by advanced M4 Pro fleas. These new offers, based on Apple M4 Mac Mini equipment, promise significant performance increases for developers’ creation applications for iOS, macOS and other Apple ecosystems. Announced on September 12, 2025, via the New AWS BlogThe instances are perfectly integrated into the AWS Nitro system, allowing users to take advantage of cloud scalability while maintaining the essential native macos environment for specific Apple workflows.

The M4 instances are equipped with an 11 -core processor, a 14 -core GPU and 24 GB of unified memory, while the M4 Pro variant increases the ante with a 12 -core processor, an 18 -core GPU and 36 GB of memory. Both support up to 2 TB of storage and are designed to require tasks such as code compilation, simulations execution and parallel test applications. AWS claims that these cases offer up to 20% faster performance compared to the previous M2 generation, allowing faster construction times and more effective CD / CD pipelines for Apple developers.

Performance gains and hardware integration: an increasingly AWS overview optimizes Apple silicon for cloud

This launch is based on the history of AWS Mac’s instances, which started in 2020 with models based on Intel and has evolved through the M1 and M2 generations. As detailed in an article in 2023 on the New AWS BlogThe anterior iterations have focused on the gross computing power, but the M4 series emphasizes the energy efficiency and the capacities of the neural engine, aligning on Apple’s transition to the development tools focused on AI. Developers can now update macOS versions directly in the invited environment, a functionality highlighted in the What’s New updates, reducing downtime and rationalizing maintenance.

The price remains competitive, with rates on demand starting at around $ 0.65 per hour for M4 bodies, scaling on the region and use. This payment model, combined with a dedicated equipment allocation, deals with points of pain for companies that previously based on physical mini macs for the construction of farms. Industry observers note that this could accelerate adoption among large -scale iOS application developers, who often attack material constraints in local configurations.

Reactions of developers and market implications: Ideas for social networks and industry forums

The publications on X (formerly Twitter) of AWS leaders like Jeff Barr and Sébastien Stormacq generated Buzz, with users renting the potential of instances to “create iOS applications faster in the cloud”. A position underlined the improvement of speed to 20% compared to M2 models, sparkling discussions on platforms like Hacker News, where Y combinator forum Explore integration with tools like Xcode and Simulators. Meanwhile, a recent article in Archyde Contextualized this in wider AWS innovations, suggesting that it positions the company to further grasp the mobile development market in the middle of the workloads increasing from AI.

Competitively, this is opposed to rivals like Microsoft Azure and Google Cloud, which offer a virtualized macos but lack native integration of Apple silicon. For initiates, the actual value lies in the synergies of the AWS ecosystem – supporting these instances with services such as S3 for storage or code of code for automation. As a developer noted in a thread X, the improved GPU of the M4 Pro could revolutionize the tests with high graphic intensity, potentially shave the leaving hours of the liberation cycles.

Technical specifications and use cases: plunge into real applications for business developers

By diving deeper, the instances support MacOS Sonoma and later, AWS providing preconfigured friends who include essential tools like Homebrew and Git. Documentation on AWS EC2 User Guide Designates how to launch via console or cli, emphasizing security features such as Nitro enclaves for isolated environments. For media and entertainment companies, the M4 PRO neural engine excels in automatic learning tasks, such as training models for the customization of applications.

Early adopters, as indicated in a Macrumors The EC2 Mac original launch part has long sought such upgrades. Now, with M4, AWS allows parallel tests to dozens of simulators, ideal for regression tests in agile teams. This is particularly appropriate because Apple pushes visionos for space computer science, where cloud -based versions can manage the calculation load without local material investments.

Future perspectives and strategic positioning: how is it in the wider AWS cloud strategy

For the future, AWS expansion of mac bodies to more regions, including additional availability according to a 2024 What a new announcement—SIGNAL A commitment to global accessibility. Analysts of Infoq Draw parallels with recent instances optimized by AWS memory, noting a model of sewing equipment for niche workloads. For the initiates of the industry, this could foreshadow other Apple collaborations, perhaps integrates into the AWS IA services such as the foundation.

In short, the EC2 M4 and M4 Pro instances represent a maturation of the development of native apples in the cloud, mixing the innovation of Silicon Valley with the Cloud of Seattle feats. While developers flock to these tools, expect a training effect on the quality of applications and marketing time, soliding the role of AWS in the world evolving the creation of mobile and office software.

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