hyper-fabric-interconnect 1.0.0
Breakthrough protocol architecture for ultra-low-latency, high-bandwidth interconnects powering AI superclusters and quantum simulation networks
License: MIT
Requires Python: >=3.8
Keywords: networking, protocol, AI, quantum, HPC, interconnect, low-latency, distributed-computing

# 🚀 HyperFabric Interconnect

A breakthrough protocol architecture for ultra-low-latency, high-bandwidth interconnects powering AI superclusters and quantum simulation networks.

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## 🧬 Vision

This protocol is the backbone of next-generation computation — beyond TCP/IP, beyond RDMA. It enables microsecond-scale data propagation, predictive routing, and hardware-level orchestration across AI/ML, HPC, and quantum-hybrid clusters.

## ⚡ Features

- **Ultra-Low Latency**: Microsecond-scale data propagation
- **Predictive Routing**: ML-enhanced path optimization
- **Hardware-Level Orchestration**: Direct hardware signature mapping
- **Fault Tolerance**: Auto self-healing interconnect clusters
- **Zero-Copy Buffers**: Memory-efficient data transfer simulation
- **Quantum-Aware**: Support for QPU entanglement message routing

## 🚀 Installation

```bash
pip install hyper-fabric-interconnect
```

## 📖 Quick Start

```python
from hyperfabric import HyperFabricProtocol, NodeSignature

# Initialize the protocol
protocol = HyperFabricProtocol()

# Register a virtual node
node = NodeSignature(
    node_id="gpu-cluster-01",
    hardware_type="nvidia-h100",
    bandwidth_gbps=400,
    latency_ns=100
)
protocol.register_node(node)

# Send data with predictive routing
await protocol.send_data(
    source="gpu-cluster-01",
    destination="qpu-fabric-02",
    data=large_tensor,
    priority="ultra_high"
)
```

## 🛠️ CLI Tools

```bash
# Ping fabric nodes
hfabric ping gpu-cluster-01

# View topology
hfabric topo --visualize

# Run diagnostics
hfabric diagnose --full
```

## 📚 Documentation

Full documentation is available at [GitHub Pages](https://krish567366.github.io/hyper-fabric-interconnect/)

## 🧠 Use Cases

- **AI Supercluster Communication**: Synchronizing transformer model shards across distributed GPUs
- **Quantum-Enhanced AI**: Routing QPU entanglement messages for hybrid classical-quantum computation
- **HPC Workloads**: Ultra-low latency scientific simulation data exchange
- **Edge Computing**: Adaptive cyber-physical compute swarm coordination

## 👨‍💻 Author

**Krishna Bajpai**  
Email: bajpaikrishna715@gmail.com  
GitHub: [@krish567366](https://github.com/krish567366)

## 📄 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## 🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.