Previously, the only way to effectively run automated GPU tests on the macOS platform was to use a dedicated host. One of the biggest challenges when testing macOS and iOS platforms is graphics processing unit (GPU) testing for GPU-intensive applications like gaming and virtual reality apps. More convenient end-to-end testing, including GPU tests: Automated testing is an integral part of continuous integration/continuous delivery pipelines as it is crucial to be able to quickly and confidently build and deploy code that works. With this leap forward in efficiency, it is safe to say that the future is silicon-based. The streamlined memory architecture of M1 allows the processor components to leverage a central data pool, eliminating the time used to copy data between each component. ![]() The efficiency of M1 is rooted in its signature “System on a Chip” which unifies various components - including the CPU, GPU, RAM, and Secure Enclave - into one processor. ![]() Since its debut, Apple silicon has lived up to its promise to deliver superior speed and performance. ![]() In 2020, Apple unveiled a suite of Mac laptops with a special surprise inside- an M1 chip built for optimal efficiency.
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