Modular 26.4: SOTA MoE Serving, Model Bringup via Agent Skills, Mojo 1.0 Beta 2 and More

Modular 26.4 introduces advanced mixture-of-experts (MoE) serving capabilities to Modular Cloud, offering support for cutting-edge models like MiniMax M3 and GLM 5.2, and advancing towards the release of Mojo 1.0. This update enhances model architectures, improves quantization, speculative decoding, OpenAI API compatibility, and expands Apple silicon GPU support, making MAX more accessible with modular skills for agentic model deployment. The release also debuts new model architectures in the MAX framework and simplifies the development experience with cleaner APIs and migration guides. Additionally, the latest version of Mojo 1.0 Beta 2 brings refinement and stabilization, with improvements in the standard library and enhanced Python interoperability. The 26.4 update facilitates a streamlined path for developers to bring their models into MAX using new agent skills, enabling efficient multi-GPU and expert-parallel MoE operations. Attendees can look forward to more insights at the upcoming ModCon conference in San Francisco.

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