Scaling AI Infrastructure: From 224G to 1.6T
The rapid growth of AI infrastructure is reshaping data center transmission requirements, pushing connectivity to single-lane 224 Gbps and 1.6T architectures.
Modern data center infrastructure must simultaneously address higher bandwidth, faster data rates, longer reach, signal integrity, power efficiency, and scalability.
One Data Center, Different Connectivity Needs
Different transmission distances and network topologies require specific interconnect designs spanning both copper and optical technologies:
DAC | Short Reach
For short-distance, high-speed connections
- Cost-effective
- Low latency
- High-speed data transmission
- Ideal for server / switch connections
ACC / AEC | Active Copper
When passive copper reaches its limits
- Active signal conditioning
- Extended reach
- High-speed transmission
- Designed for demanding data center
AOC & Transceiver | Longer Reach / Optical
For higher bandwidth and longer reach
- High-speed optical transmission
- Longer-distance connectivity
- High-density data center applications
- Scalable for next-generation networks
As data rates transition from 10G up to 1.6T, interconnect technologies must evolve alongside shifting bandwidth demands. Designing an optimal AI data center architecture requires mapping specific cable technologies to their corresponding network topologies and transmission distances.
- In-Rack (Server to ToR Switch): Engineered for short-distance, high-speed link, Direct Attach Copper connecting servers to Top-of-Rack switches within the same rack.
- Adjacent Racks (Switch to Switch): When passive copper reaches its limits, Active Copper uses active signal conditioning to deliver extended reach for switch-to-switch links between adjacent racks.
- Inter-Rack / Row-to-Row: Built for long-distance transmission, Active Optical Solutions provide scalable, cross-room connectivity across data center rows and core infrastructure.
Building the Optimal Architecture for AI Data Centers
PRODATA delivers high-speed, CMIS-compliant interconnects tailored for next-generation AI architectures. Choosing the optimal network topology lowers Total Cost of Ownership (TCO) while unlocking peak GPU productivity.
