Wherever your AI runs, there's a place for it in the Arm AI Optimization Challenge.
Explore the Physical AI, Cloud AI, and Mobile AI tracks, build a project that demonstrates measurable optimization on Arm-powered platforms, and compete for a share of the $8,000 cash prize
Connecting developers and the software ecosystem with Arm technical guidance and resources.
Joined February 2020
- Arm has always believed in the power of open source software, giving developers more choice in how they build. Today we're excited to see @AIatMeta building support for open source models with Muse Glimmer because a strong, collaborative ecosystem helps move AI forward forIntroducing Muse Glimmer, an open-weight 30B-parameter model optimized for local, always-on agent workflows. Muse Glimmer delivers strong performance on key agentic use cases and benchmarks compared with leading models in its size category, and is designed to run entirely on
- How does neural-powered frame generation work on mobile? 📱 Arm Neural Frame Rate Upscaling (NFRU) combines motion vectors, optical flow, depth and color data to generate intermediate frames between rendered frames, raising perceived frame rate and creating smoother gameplay.
- Dynamic Insights in Arm Performix are here, bringing AI-guided performance analysis to agentic development. ➡️ Runtime performance data ➡️ Arm-developed analysis guidance ➡️ LLM reasoning Delivering evidence-based recommendations that help uncover bottlenecks, identify root
- Migrating to Arm is only the beginning. Together with @AWS_Partners, @Atlassian demonstrates how developers can optimize their workloads on Arm Neoverse-based AWS Graviton through production-scale testing, JVM tuning, and workload-specific optimization. The results are higher




