Neurenix

Neurenix is ​​an AI framework optimized for embedded devices (Edge AI), with support for multiple GPUs and distributed clusters. The framework specializes in AI agents, with native support for multi-agent, reinforcement learning, and autonomous AI.

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Main Features

• Phynexus Engine: High-performance engine for tensor operations
• Optimized for Edge AI: Efficient execution on embedded devices
• Multi-GPU and Distributed Support: Scalability to clusters and multiple GPUs
• TPU Support: Tensor Processing Unit acceleration for machine learning workloads
• Agent-Specialized: Native support for multi-agent and autonomous AI
• Declarative API: Simpler and more intuitive interface than traditional frameworks
• LLM Fine-tuning: Simplified tools for tuning language models
• Hugging Face Integration: Compatibility with pre-existing models

Documentation

Neurenix Documentation

License

This project is licensed under the Apache License 2.0.

lib.rs:

Phynexus: A high-performance tensor library for embedded devices