Cactus

Cactus

Don't have WebCatalog Desktop installed? Download WebCatalog Desktop.

Cactus lets developers run private, local AI models and numerical computations on mobile phones, optimizing ARM‑CPU integer inference (INT4/INT8) for lower power, latency, and broad device support.

Enhance your experience with the desktop app for Cactus on WebCatalog Desktop for Mac, Windows.

Run apps in distraction-free windows with many enhancements.

Manage and switch between multiple accounts and apps easily without switching browsers.

App developers can now deploy private, local, offline AI models in their mobile apps, achieving up to 150 tokens/sec and <50ms time to first token. Cactus is used by 3k+ developers and completes 500k+ weekly inference tasks on phones today. It is open-source! Check out the repo: https://github.com/cactus-compute/cactus.

Cactus is a numerical computing framework and AI inference engine optimized specifically for mobile phones, focusing on energy-efficient performance on a wide range of devices. It enables running custom machine learning models and scientific computations efficiently on ARM CPUs, supporting older and newer phones without relying heavily on GPUs or specialized NPUs, which many mobile devices lack.

The app offers fast, low-power kernel implementations that reduce battery drain and device heating, making it suitable for AI applications on phones where power consumption and thermal management are critical. Cactus supports INT4 and INT8 integer precision computations for improved speed and energy efficiency. Its design emphasizes compatibility with diverse phone hardware, including ARM CPUs and plans for support of NPUs, DSPs, and ISPs, enhancing AI inference by leveraging available hardware accelerators without compromising battery life.

Developed primarily in C++, with supplementary Python and shell components, Cactus aims to provide scalable numerical computation and AI inference capabilities adaptable for mobile environments. This allows developers to implement and deploy efficient AI models on consumer smartphones seamlessly, emphasizing performance and resource optimization.

Key capabilities include:

  • Energy-efficient AI inference optimized for ARM-based phone CPUs
  • Support for custom numerical computing models similar to frameworks like JAX
  • Compatibility with a broad spectrum of mobile devices, including those without neural processing units
  • Integer precision optimization (INT4, INT8) for balancing speed and power consumption
  • Reduced GPU dependence to minimize battery drain and device heating

Cactus is suitable for developers looking to integrate AI inference on mobile devices with constrained power and thermal budgets, offering an alternative to GPU and NPU-centric frameworks by prioritizing CPU-based performance and efficiency.

This description was generated by AI (artificial intelligence). AI can make mistakes. Check important info.

Website: cactuscompute.com

Disclaimer: WebCatalog is not affiliated, associated, authorized, endorsed by or in any way officially connected to Cactus. All product names, logos, and brands are property of their respective owners.

You Might Also Like

© 2025 WebCatalog, Inc.