Introduction
At the 2025 Open Data Center Committee (ODCC) Spring Conference, UniVista Software's networking innovations captured widespread attention. Vice President Yang Kai unveiled the groundbreaking ETH-X Transport Layer Protocol (PAXI), injecting new momentum into intelligent computing networks. This protocol tackles critical challenges like high bandwidth and low latency while powering emerging artificial intelligence applications.
Key Technological Announcement
Designed specifically for large language models and other compute-intensive AI workloads, ETH-X addresses the limitations of traditional multi-GPU interconnects. Its architecture supports full connectivity across up to 256 cards, establishing a new technical benchmark for scalable computing power.
Technical Deep Dive
The protocol ingeniously merges:
- AXI protocol standards with Ethernet
- Native AXI4/APB3 interface support
- Priority Flow Control (PFC)
- MAC L2 layer retransmission mechanisms
These features collectively reduce latency while enhancing data transmission reliability. UniVista complements this with a suite of IP solutions including PAXI IP cores and 200G/400G/800G MAC/PCS/FEC IP blocks, creating a comprehensive ecosystem for next-gen AI chips.
👉 Discover how ETH-X redefines AI infrastructure
Implementation Challenges
While promising, ETH-X's complexity presents adoption hurdles. UniVista mitigates this through:
- A 400G prototype validation platform
- Multi-node ETH-X protocol testing
- Streamlined IP integration pipelines
This reduces evaluation cycles from months to weeks, accelerating time-to-market for chip designers.
Future Applications
ETH-X's breakthroughs will transform:
- Autonomous vehicle development
- Smart manufacturing systems
- Virtual assistant technologies
- Deep learning research
By overcoming computational bottlenecks, the protocol enables previously impossible neural network architectures and machine learning workflows.
Frequently Asked Questions
What makes ETH-X different from existing interconnects?
ETH-X combines the reliability of AXI with Ethernet's scalability, achieving <5μs latency at 400G speeds while supporting 256-way connectivity.
How does this benefit AI researchers?
The protocol eliminates bandwidth constraints for large models, allowing faster iteration on architectures like transformers and diffusion models.
When will ETH-X chips reach the market?
UniVista expects first commercial implementations by Q3 2025, with full ecosystem deployment by 2026.
👉 Explore ETH-X's technical specifications
Conclusion
UniVista's ETH-X protocol represents a quantum leap in intelligent networking. As AI workloads grow exponentially, this innovation provides the foundational infrastructure to power humanity's smartest technological achievements yet.