RunAnywhere

RunAnywhere

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RunAnywhere is an SDK and control plane platform that enables intelligent routing of LLM requests between on-device and cloud processing while maintaining privacy, optimizing costs, and providing real-time analytics.
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RunAnywhere

Product Information

Updated:Aug 15, 2025

What is RunAnywhere

RunAnywhere is a comprehensive AI platform designed to make on-device LLMs production-ready. Developed by former AWS/Microsoft engineers, it provides a unified SDK that supports both iOS and Android with identical APIs. The platform serves as a bridge between local and cloud-based AI processing, allowing developers to implement AI features while maintaining control over privacy, performance, and costs. It supports various model formats including GGUF, ONNX, CoreML, and MLX, making it versatile for different implementation needs.

Key Features of RunAnywhere

RunAnywhere is an SDK and control plane platform that enables on-device LLM processing with intelligent routing capabilities. It provides a unified API that can run models locally (GGUF/ONNX/CoreML/MLX) while using a policy engine to determine whether requests should be processed on-device or in the cloud based on privacy, cost, and performance requirements. The platform offers real-time analytics, cost tracking, and seamless model swapping without requiring app updates.
Intelligent Request Routing: Policy-based system that automatically determines whether to process requests locally or in the cloud based on complexity, privacy needs, and cost considerations
Cross-Platform Compatibility: Native runtime support for both iOS and Android with identical APIs, allowing consistent implementation across mobile platforms
Dynamic Model Management: Ability to swap models, prompts, and rules without requiring app updates, providing flexibility in AI implementation
Real-Time Analytics: Comprehensive tracking of costs, performance metrics, and usage patterns with A/B testing capabilities

Use Cases of RunAnywhere

Mobile Chat Applications: Implementation of chat features with sub-200ms first-token response times for immediate user interaction
PII-Sensitive Operations: Processing of personally identifiable information locally to maintain data privacy and compliance
Content Summarization: Quick and efficient text summarization for mobile applications while optimizing between local and cloud processing
AI Copilot Features: Integration of AI assistance features in mobile apps with privacy-conscious processing

Pros

Privacy-first approach with local processing capabilities
Cost optimization through intelligent routing
Fast response times with sub-200ms first-token latency

Cons

Limited application support in current version
Primarily focused on mobile platforms
Requires integration effort for existing applications

How to Use RunAnywhere

Request SDK Access: Contact RunAnywhere team to get access to their SDK - they promise to help set it up within an hour
Install Sample App: Download and install the RunAnywhere sample app through TestFlight on iOS to test the functionality
Integrate SDK: Integrate the RunAnywhere SDK into your mobile app (iOS/Android) using their native runtime and unified API
Configure Models: Set up which LLM models you want to use (supports GGUF/ONNX/CoreML/MLX formats) and configure routing policies
Set Routing Policies: Define policies for when requests should be processed on-device vs in the cloud based on privacy, cost and performance requirements
Test Routing: Flip policies in real-time and observe how requests shift between device and cloud processing
Monitor Analytics: Use the analytics dashboard to track costs, performance metrics and usage patterns in real-time
Optimize: Based on analytics, fine-tune your policies and model selection to optimize for cost, privacy and performance

RunAnywhere FAQs

RunAnywhere is an SDK and control plane platform that makes on-device LLMs production-ready. It provides a single API that can run models locally (GGUF/ONNX/CoreML/MLX) and includes a policy engine that decides whether to process requests on-device or route them to the cloud.

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