Hello everyone, I'm Achao! Today I'm introducing an AI tool that really caught my eye—Cactus Compute. This isn't your average AI tool; it's specifically designed to run AI models on mobile devices.Run locallyA cross-platform framework. Simply put, it turns your phone into a ”little AI computer” that can run various AI models without an internet connection!
What is Cactus Compute?
Cactus Compute is an AI deployment framework specifically designed for mobile devices, supporting integration with mainstream mobile development frameworks such as Flutter, React Native, and Kotlin Multiplatform. Its core philosophy is“Edge Computing”—Perform AI computing tasks on the user's mobile device rather than relying on cloud servers.

Imagine your mobile app could converse as intelligently as ChatGPT, yet it doesn't require an internet connection at all, and data never leaves your device—doesn't that sound pretty cool?
Key Feature Highlights
🚀 Lightning-Fast Response
- First token response time under 50msContent generation can begin almost instantly.
- Up to 300 tokens per second:It runs smoothly on mainstream smartphones.
- Zero Data TransmissionAll computations are performed on the device, protecting user privacy.
📱 Cross-platform support
Cactus Compute supports the three major mainstream mobile development frameworks:
- FlutterDart packages are directly integrated.
- React NativeNPM packages: Easy Installation
- Kotlin MultiplatformNative Kotlin support
🛡️ Privacy Protection
This is my personal favorite feature! Cactus Compute defaults toOn-device inferenceMeaning:
- Your chat history, image processing data, and other informationWill not be uploaded to the cloud at all
- Suitable for handling sensitive information, such as medical records, financial data, etc.
- Compliant with privacy regulations such as the GDPR
🌟 Multimodal Capabilities
Supports language, vision, and speech models—one framework handles multiple AI tasks:
- language modelIntelligent Dialogue, Text Generation
- Visual ModelImage Recognition, Image Generation
- Speech ModelSpeech Recognition, Speech Synthesis
🔄 Cloud Backup
While primarily designed for local execution, Cactus Compute also offers a cloud-based backup solution. For tasks requiring extensive computation or asynchronous processing, it can seamlessly switch to cloud-based inference.
How does it perform?
According to official benchmarks, it performs quite well on mainstream devices:
On the iPhone 16 Pro Max::
- Gemma3 1B Q4 Model: 54 tokens/second
- Qwen3 4B Q4 Model: 18 tokens/second
On the Samsung Galaxy S24 Ultra::
- Gemma3 1B Q4 Model: 42 tokens/second
- Qwen3 4B Q4 Model: 14 tokens/second
This speed is perfectly adequate for everyday use, allowing smooth chatting and Q&A sessions.
Who is it suitable for?
👨💻 Mobile App Developer
If you're developing a mobile app that requires AI capabilities, Cactus Compute is definitely your go-to solution. It significantly lowers the barrier to integrating AI features.
🔒 Privacy-conscious users
For applications handling sensitive data—such as healthcare, finance, and enterprise applications—local AI inference provides the highest level of privacy protection.
🌐 Areas with poor network conditions
In areas with poor signal or limited network access, local AI models ensure the application functions properly.
💰 Businesses looking to reduce server costs
Distributing AI computing tasks to user devices can significantly reduce the operational costs of cloud servers.
A Chao's User Experience
As someone who frequently tests various AI tools, I find Cactus Compute's greatest advantage lies in itsPracticalityMany AI tools, though powerful, either require an internet connection or demand high-end devices. Cactus Compute, however, enables ordinary smartphones to run AI models—truly down-to-earth.
Moreover, its integration process is relatively straightforward, and the documentation is quite comprehensive, making it easy for developers with some experience to get started quickly.
summarize
Cactus Compute represents a significant direction in the development of mobile AI—Edge AI ComputingIt addresses several pain points of traditional cloud-based AI: latency, privacy, cost, and network dependency.
Summary of Advantages::
- ✅ Ultra-low latency and excellent performance
- ✅ Robust privacy protection
- ✅ Excellent cross-platform compatibility
- ✅ Supports multimodal models
- ✅ Reduce server costs
Points to note::
- ⚠️ Model size is limited by device storage.
- ⚠️ Complex models may have limited functionality on low-end devices.
- ⚠️ Requires some development experience for integration.
Overall, if you're seeking a solution that runs AI locally on mobile devices, Cactus Compute is definitely worth trying. It truly brings AI into the mainstream, allowing everyone to experience the convenience of AI right on their phones.
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