According to Sundar Pichai on Twitter, Google’s Project Suncatcher is pioneering the deployment of Trillium-generation TPUs—purpose-built for AI—into space, aiming to create scalable machine learning compute systems powered directly by solar energy. Early research cited by Pichai confirms these TPUs survived radiation tests simulating low-earth orbit, demonstrating their robustness for extraterrestrial AI workloads. The project, developed in collaboration with Planet, is scheduled to launch two prototype satellites by early 2027. This initiative signals significant business opportunities in space-based AI compute, offering the potential to overcome terrestrial energy limitations and unlock new markets in edge AI and satellite-based machine learning applications (source: Sundar Pichai, Twitter, Nov 4, 2025).

According to Jeff Dean on Twitter, the MLSys2026 conference will be held in May 2026 in Seattle, with the paper submission deadline set for October 30, 2025 (source: Jeff Dean, Twitter). This annual event brings together leading experts in machine learning systems, offering valuable business opportunities for enterprises seeking to showcase innovations and network with AI industry professionals. Organizations focused on AI infrastructure, model optimization, and scalable ML solutions are encouraged to participate, as MLSys is known for driving industry adoption and shaping future AI system trends.