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RunAnywhere - Artificial Intelligence and Machine Learning Tool

RunAnywhere

RunAnywhere

Founded by Aditya Batra

The default way of running On-Device AI at Scale

Cost

Demo

Rating

People love it

Time to value

Quick Setup (< 1 hour)

You can use RunAnywhere to run AI models directly on mobile and edge devices without needing cloud servers. It provides custom GPU kernels and cross-platform SDKs for iOS, Android, and edge devices. You can deploy language models, speech-to-text, text-to-speech, and vision models with just a few lines of code. The system achieves fast inference speeds like 668 tokens per second for LLM decode and 101ms for speech-to-text on Apple Silicon. It includes developer SDKs for Swift, Kotlin, React Native, and Flutter, plus fleet management tools for device monitoring.

What RunAnywhere does

Deploy language models to iOS and Android appsImplement speech-to-text without cloud dependenciesCreate text-to-speech functionality for mobile appsBuild computer vision features for edge devicesMonitor AI model performance across device fleetsUpdate AI models remotely without app store releasesWrite custom GPU kernels for specific hardwareIntegrate AI inference into existing mobile applicationsCustom Metal GPU kernels written from scratch668 tokens per second LLM decode on Apple Silicon101ms speech-to-text latencyCross-platform SDKs for Swift, Kotlin, React Native, FlutterFleet management dashboard for thousands of devicesOver-the-air model updates without app store releasesZero marginal inference cost after deploymentSub-7ms time-to-first-token performance

Tutorials & Demos

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RunAnywhere, on-device AI, mobile AI, edge computing, LLM inference, Apple Silicon, Metal kernels, speech-to-text, text-to-speech, computer vision, iOS development, Android development, AI runtime, GPU optimization, cross-platform AI, private AI, local inference