Cactus is a low-latency AI inference engine and numerical computing framework designed for mobile devices and wearables. Developed by cactus-compute, it is optimized for ARM CPUs to run large language models with minimal power consumption and memory footprint, enabling on-device AI without relying on cloud connectivity.
CPU-First Optimization
- Tuned for ARM processors to reduce battery drain and heat generation during inference
- Unified Cactus Graph and Cactus Kernels providing zero-copy computation graphs
- SIMD-optimized kernels for high throughput on mobile hardware
- Demonstrates higher CPU-only throughput and smaller model footprints compared to Llama.cpp on certain workloads
Cross-Platform SDKs
- Flutter, React Native, and Kotlin SDKs for straightforward integration into any mobile application
- On-device inference for chatbots, assistants, and quick generation tasks without network latency
- Efficient deep learning inference embedded into mobile apps for real-time, privacy-preserving AI experiences
- Hugging Face model conversion and benchmarking utilities to validate performance before shipping
API and Tooling
- OpenAI-compatible C API with FFI bindings for integration across multiple programming languages
- Python utilities for model conversion, testing scripts, and comprehensive build instructions
- Rapid onboarding with complete documentation for mobile deployment workflows