Arm

🎮 Ready to level up your mobile gaming experience? Mori, our in-house demo project at #MWC25, showcases the power of the Arm Immortalis flagship GPU on mobile. 🐿️ It benefits from Arm ASR (Arm Accuracy Super Resolution), which is available as an early-access Unreal Engine plug-in, showing how developers can optimize their projects with an easy-to-integrate upscaling solution, making it an essential part of your game development toolkit.

The mobile innovations shaping 2025 are on full display at #MWC25. But what’s next? 🔮 Christopher Bergey, SVP and GM of Client, offers a glimpse into the future as we continue to push the limits of performance. Our upcoming next-gen, performant CPU compute solution, featuring an all new microarchitecture, will deliver more edge AI capabilities, incredible double-digit IPC gains and a whole lot else. You're going to want to stay tuned for this one.

The speed of innovation we’ve seen in the automotive industry is unprecedented, emphasizing that software is survival for OEMs. We need to ensure they have the scalability and flexibility to keep pace in this hyper-competitive environment. I enjoyed talking to Pete Bigelow on the Automotive News Shift podcast about one of Arm’s superpowers – our ecosystem, which empowers OEMs to gain more control over their software roadmap. As the automotive industry accelerates toward AI-enabled, software-defined vehicles, ecosystem collaboration on the Arm compute platform will be essential to unlocking their full potential: https://lnkd.in/gvuKbf5Z

👋 Meet James, the digital human demo by NVIDIA and on our booth at #MWC25. How's he work? It all comes down to NVIDIA Grace Hopper™. The RAN runs completely on the Arm-based Grace CPU, with layer1 offload on the Hopper™ GPU. This means the remaining GPU capacity, using the Multi-Instance GPU (MIG), can be used to run "James". Let him explain it to you, live from the MWC show floor. 🎥

#MWC25 has been all about the rise of real-impact AI use cases - should we expect this momentum continue over the next few years? Ami Badani, Arm CMO, shares her thoughts on the direction we're headed and what to expect for the year's to come.

Building a high-performance, sustainable computing infrastructure requires a shift toward increasingly specialized processing, especially as AI’s compute demands continue to grow. At #MWC25, Mohamed Awad, SVP and GM for Infrastructure shares why the world's tech leaders turn to Arm to make this possible.

🎧🔊👇 Audio, reimagined at #MWC25. Get custom sounds on your smartphone in seconds with Stability AI's text-to-audio AI model, Stable Audio Open. We've worked closely with the Stability AI team to optimize the model for Arm-based mobile CPUs, using the Arm KleidiAI library, and distilling the Stable Audio Open model for peak efficiency. The result? A 30x faster response time, with audio generation now possible in seconds, right on your device. And the best part? It even works in flight mode. This is just the beginning of our close partnership with Stability AI to enable more on-device AI across audio, images, video, and 3D, reshaping how we create and interact with digital media.

⚡ Built on the Arm computing architecture, Apple’s new M4 chip brings soaring performance to the new MacBook Air. As PC innovation accelerates, we’re proud to provide the foundation for the next-generation of game-changing devices: https://lnkd.in/exFpYEh9

As emerging technologies like chiplets gain traction, standardization ensures seamless implementation to unlock their full potential. Following the first public specification of the Chiplet System Architecture (CSA) in January, Eddie Ramirez, VP of Go-to-Market for Infrastructure, shares how industry alignment on foundational choices can accelerate system innovation at #MWC25. 📌 More CSA details here: https://okt.to/FtxWRM

AI Agents 🤝 Eliminating the mundane. At #MWC25, Ami Badani shares how AI agents streamline both the event experience and the busy evenings that follow here in Barcelona. With the Arm compute platform, you have the right tools to seamlessly share workloads between the cloud and edge, scaling AI agents efficiently to maximize productivity both at work and in our daily lives.