Arm

The time to develop native Windows on Arm apps is now. Here's 3 reasons why.👇 1️⃣ Better performance 2️⃣ Faster app load times 3️⃣ More power efficiency Plus there's tools and resources to seamlessly build apps for next-generation PCs. At #MSBuild, Jeremy Sinclair, Microsoft MVP had this to say about building on Windows on Arm. ⤵️ Get started now: https://okt.to/4EhUbr

Here's to 3+ years of SOAFEE! 👏 Together with 120+ leading players in the automotive industry, we've laid the foundations for a new ecosystem of consistent automotive software solutions. And we're not stopping there. To bring us closer to our vision of seeing SOAFEE-based software solutions on the road, today we're introducing new developments as part of SOAFEE.next. These include: 🔹 New Arm Reference Design-1 AE, leveraging the AI, security, safety and virtualization capabilities of the Armv9 architecture 🔹 Virtual platforms integrated into SOAFEE 🔹 Expanding validation services of Linaro across all SOAFEE members By coming together, we can bring AI-enabled software-defined vehicles to life #onArm: https://okt.to/M0TNVi

🔜 Windows on Arm native support for Vulkan applications is coming. Currently in beta, Vulkan SDK lets you seamlessly build native applications for Arm64 on Windows 11. It includes Arm64x layers for debugging x86_64 Vulkan binaries, plus there's a native Arm64 shader toolchain. In our latest Innovation Coffee episode, Richard Wright from LunarG shows it in action with a demo: https://okt.to/p4te2d

Here's how you level up LLM inference on Android.👇 Google's MediaPipe with XNNPACK now benefits from Arm KleidiAI integration unlocking new levels of performance. 🚀 This means AI workloads running on the Arm CPU are faster, with the Gemma encoder seeing a 30% speed up. ☕ In our latest episode of Innovation Coffee Jakub Sujak, Software Engineer, tests it out using our step-by-step Arm Learning Path: https://okt.to/dGbI30

Ready to unlock faster machine learning with Arm Neoverse-based AWS Graviton? Now you can! Databricks Machine Learning Runtime cluster now supports Graviton, so you can benefit from: ⚡ 30-50% speedups for various ML libraries 💪 3.1x run time improvement when enabling Photon 💰 Lower cloud vendor cost Meet the next generation of optimized ML workloads. 👇 https://okt.to/opIbmu

"Artificial intelligence is going to shape a whole new wave of computing and a whole new way of how you think about systems" 🚀 In the AI Infrastructure Silicon Valley Executive Series with SiliconANGLE & theCUBE, Arm CMO Ami Badani explains why the world's biggest companies are turning to the Arm compute platform to maximize the AI opportunity. With our leadership in performance and efficiency, the world's largest software ecosystem and solutions that can benefit the full stack, we make it possible for the latest AI innovations to become a reality faster and easier than ever before. Hear how on YouTube: https://okt.to/bkqnjI

Inference drives the AI-based experiences we use on our devices everyday, from facial recognition and object detection to text generation and summarization. It's also helping to drive the move to processing on the edge, bringing more responsive and secure AI-based experiences to flagship smartphones running on the Arm CPU. We're already demonstrating the benefits of inference for generative AI workloads with our virtual training assistant demo using Microsoft's Phi-3 3.8B LLM, which is delivering text generation faster than the average human reading speed Ian Bratt, Vice President of Machine-Learning Technology unpacks how Arm CPU designs are the foundation for inference from cloud to edge in The Wall Street Journal: https://okt.to/2EjLhx

Alongside UNICEF, we envision a world where the power and potential of AI is used to improve lives. ✨ One of the ways we can achieve this is by supporting local innovators across the world. 🌍 That's why we're excited to join the UNICEF Innovation #SummitOfOURFuture campaign to strengthen innovation ecosystems in emerging economies and demonstrate AI use cases. Show your support for a more equitable future by making technology accessible to everyone. https://okt.to/M28s3w

Get audio without the background noise with Raspberry Pi Pico 2. ✨ Sandeep M. shares a step-by-step guide on integrating a noise suppression algorithm with a USB microphone application on Raspberry Pi's newest development board. With the dual-core Arm Cortex-M33, it brings quicker deployment of more compute-intensive applications. In fact, it runs the denoising algorithm 16.87x faster than the original Pico board. And it's all possible because it’s built #onArm. 🚀 https://lnkd.in/eUp6bcfj

At Arm, we believe doing great things starts with being your brilliant self. 🌟 Whether you get inspired by collaborative projects, or you find your flow through a more autonomous work style, you can thrive in our flexible culture. 💪 By coming together and embracing everyone's unique style we can build the future of computing #onArm. Learn more about our culture on our ✨ new ✨ careers website: https://okt.to/rsQ2xq