Intelligent Network Management Solution
Arrakis utilizes a unique two-tier network architecture, using virtual Ethernet to connect to each sandbox internally and a NAT gateway to access the host network externally. The system automatically manages DHCP allocation and port forwarding, allowing developers to access services such as SSH and VNC without manual configuration. The firewall opens only the necessary ports by default and supports role-based access control.
Key technological innovations
- Each sandbox gets a separate intranet IP
- Dynamic port mapping to avoid conflicts
- Supports ICMP, TCP/UDP full protocol stacks
- Traffic monitoring and QoS policy configuration
Practical application advantages
in distributed AI training scenarios:
- Multiple sandboxes can be directly interconnected through the intranet
- External services expose specific API ports
- 5-8x faster training data synchronization
- Network isolation prevents leakage of model parameters
Tests have shown that compared to Docker's bridging model, Arrakis' network architecture has significant advantages in terms of throughput and latency, making it particularly suitable for scenarios such as federated learning that require frequent node communication.
This answer comes from the articleArrakis: an open-source tool that provides a secure sandbox environment for AI intelligencesThe
