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Hello, XLA Serving Engine! 👋
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Google's new XLA Serving Engine enables developers to train AI models in Python and serve them in C++.
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Through our collaboration with @Google and contributions to @OpenXLA, we're optimizing AI inference performance and efficiency on Arm
At #STM32Summit, @ST_World unveiled new Arm Cortex-M-based STM32A microcontrollers designed for autonomous systems.
Building on decades of collaboration, we're shaping the next generation of Cortex-M-based compute, while bringing the wider ecosystem together through Arm Total
We've delivered a record second quarter in Q2 FYE27. 🎉
As AI drives unprecedented demand for compute, our IP business and new silicon business are showing rapid growth. Both are built on the same Arm compute platform, leveraging a common software ecosystem.
Data centers are being asked to deliver more compute within fixed constraints.
Arm AGI CPU was built to address this with performance, scale, and efficiency at its core. 💪
Independent analysis from @Signal_65 shows nearly 2x modeled performance per rack for Arm AGI CPU vs. comparable x86 devices
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Take a moment to hear what Ryan Shrout, Russ Fellows, Jeff DeFilippi, and Ravi Malhotra had to say about the results with @TheSixFiveMedia.
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A shared language can help robotics innovation scale.
A Robotics Capability Framework creates a common foundation for describing, measuring and comparing intelligent robotic systems, helping reduce fragmentation across the ecosystem. Arm
Dermot O’Driscoll explains why shaping
Together with @Supermicro, we're advancing high-density, liquid-cooled AI infrastructure powered by Arm AGI CPUs, helping data centers scale compute while addressing the growing demands of agentic AI workloads. 💪
