Apple released macOS Tahoe 26.2 beta 3 earlier this week, introducing enhancements to AI features for developers. These updates enable the use of the open-source MLX framework with the Neural Accelerator on the M5 chip and simplify AI cluster creation via Mac Studio’s Thunderbolt 5 connectivity.
The first AI feature appeared in macOS Tahoe 26.2 beta 2 several weeks prior and received further improvements in beta 3. This addition allows developers implementing the open-source MLX framework to leverage the Neural Accelerator within the new M5 chip. Apple’s white paper details the framework’s versatility, stating that MLX can be used “for a wide variety of applications ranging from numerical simulations and scientific computing to machine learning.” The document also includes performance benchmarks demonstrating the Neural Accelerator’s impact. Specifically, these tests show the M5 chip achieves speeds 19 to 27 percent higher than the M4 chip under these conditions.
The second AI enhancement focuses on cluster formation using Mac Studio hardware. Developers can now assemble AI clusters through the device’s Thunderbolt 5 connectivity. This method streamlines the process compared to alternatives that require RDMA Ethernet cards and optical modules. As an illustration, engineers built a cluster comprising four M3 Ultra Mac Studios to execute an early-access version of Exo 1.0. Exo 1.0 serves as experimental software designed to permit users to construct and operate AI clusters in home environments. During operation, this cluster consumed less than 500 watts of power, a figure approximately ten times lower than that of a standard GPU-based cluster.
Beyond these AI developments, macOS Tahoe 26.2 beta 3 incorporates several non-AI updates. One prominent addition is the “Edge Light” effect, which activates on the screen during video calls to improve visual presentation. Individuals interested in testing these features can enroll in the Apple Developer Program, which provides access to betas for macOS and other Apple operating systems.
