Muse announces Glimmer, a 30-billion-parameter AI model optimized for always-on local agent applications, aiming to enhance on-device AI performance.
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AI in Edge Computing
93 posts
How Industrial PCs With GPUs Support New Edge AI Workloads
Guided by powerful GPUs, industrial PCs revolutionize edge AI workloads, but the full potential behind their capabilities is just beginning to unfold.
Why AI in Edge Computing Is Becoming an Operations Story
Forces transforming operations are driven by AI in edge computing, offering unparalleled security and efficiency—discover how this shift is reshaping your world.
13 AI Breakthroughs That Will Drive 2026 Innovation
A new wave of 13 AI breakthroughs is confirmed to shape technological advances by 2026, impacting industries and daily life. Here’s what is known and what remains uncertain.
How Edge AI Expands Use Cases for Rugged Computing
Fascinatingly, Edge AI unlocks new rugged computing possibilities by enabling autonomous, real-time decisions in extreme environments—discover how it transforms your operations.
Bonsai 27B: A 27B-Class model that runs on a phone
Bonsai has announced the 27B-class AI model, Bonsai 27B, which can operate directly on mobile phones, marking a significant shift in AI deployment.
Mesh LLM: distributed AI computing on iroh
Mesh LLM introduces a new decentralized approach to large language model training on Iroh, promising scalable AI infrastructure.
Mesh LLM: distributed AI computing on iroh
Mesh LLM introduces distributed large language model computing using Iroh network technology, enhancing AI scalability and efficiency.
Mesh LLM: Distributed AI Computing On Iroh
Mesh LLM introduces a decentralized approach to large language model computing using Iroh infrastructure, promising scalable AI deployment.
How Edge AI and Kubernetes Are Growing Together
Inevitably, the combined rise of Edge AI and Kubernetes is reshaping how we deploy and manage real-time, scalable edge applications—discover how this synergy can transform your operations.