DEVELOPERSMarch 3, 2026
We Built the Fastest LLM Decode Engine for Apple Silicon. Here Are the Numbers.
MetalRT delivers 658 tok/s decode and 6.6ms time-to-first-token, winning decode on 3 of 4 models we tested on a single M4 Max.
Tutorials, demos, and guides for building on-device AI apps
DEVELOPERSMarch 3, 2026
MetalRT delivers 658 tok/s decode and 6.6ms time-to-first-token, winning decode on 3 of 4 models we tested on a single M4 Max.
DEVELOPERSFebruary 21, 2026
·No server. No API key. No internet. Just a phone doing things on its own.
DEVELOPERSFebruary 19, 2026
·And the rabbit hole that taught me more about Android internals than 3 years of app development.
DEVELOPERSFebruary 18, 2026
Offline AI guide for developers: run models privately on-device with zero cloud dependency. Compare RunAnywhere, Core ML, LiteRT, and more, plus production controls for shipping at scale.
DEVELOPERSFebruary 17, 2026
Compare the best on-device AI infrastructure platforms for edge deployment in 2026. Explore RunAnywhere, Cactus, Liquid AI, and more; covering SDKs, OTA updates, hybrid routing, voice support, and fleet-scale operations.
DEVELOPERSFebruary 15, 2026
Compare the best edge AI management platforms in 2026 for deploying, monitoring, and optimizing on-device models. See how RunAnywhere unified SDK + control plane supports iOS and Android fleets, OTA updates, hybrid routing, and observability.
DEVELOPERSFebruary 14, 2026
RunAnywhere guide to running LLMs locally in 2026. Learn on-device runtimes, offline pipelines, and fleet operations with a unified SDK and control plane.
DEVELOPERSFebruary 13, 2026
Guide to the best AI SDKs for on-device inference in 2026. Compare platforms that run models across iOS and Android, including RunAnywhere, pricing, and features.
DEVELOPERSFebruary 11, 2026
Compare leading edge AI solutions in 2026, with a practical look at on-device deployment, performance, and analytics, and how RunAnywhere fits into the landscape for mobile and edge teams.
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