Adtran Unveils AI Network Cloud-Interconnect Solution to Support AI Workload Scaling
Adtran has introduced its new AI Network Cloud (AINC)-interconnect solution, a next-generation fiber networking platform designed to support hyperscalers, federal agencies, SLED organizations, and enterprises as they scale their AI services.
The solution dynamically adjusts optical networking capacity to handle real-time AI workloads, ensuring seamless, high-speed connectivity from data center to data center, as well as from core to edge. Integrated with Dell’s AI Factory, the solution enables tokenized, sovereign AI networks and dynamic compute allocation, empowering organizations to scale AI initiatives with increased autonomy, control, and cost-efficiency.
Meeting the Demand of AI Workloads
As AI workloads push current networks to their limits, data center operators need solutions that can scale to meet increasing demand. Traditional fiber transport infrastructures are static and inflexible, limiting their ability to adapt to fluctuating AI workloads.
The AINC-interconnect solution transforms this by introducing flexible optical transport capable of real-time adjustments, ensuring uninterrupted data movement and maintaining control over cost and efficiency, whether supporting agentic AI at the edge or centralized generative AI training.
Optimized Performance with Real-Time Adjustments
The AINC-interconnect solution utilizes Adtran’s FSP 3000 platform to optimize optical data transmission, offering ultra-low latency and high bandwidth.
This results in up to 50x performance improvement, up to 20% greater GPU efficiency, and a reduction in transport costs by up to 50%. By integrating with Dell’s AI Factory, the solution leverages Dell’s cloud infrastructure expertise, enhancing scalability and security while supporting Secured Token Wave Fiber for policy-based service delivery across public and private domains.
Tailored Solutions for Seamless Integration
Adtran offers tailored upgrade options for both new and existing customers, including Fast-TRX for core deployments and Fast Ramp-TRX for edge acceleration. This ensures seamless integration and rapid deployment across diverse infrastructures.
The solution is designed to provide customers greater control over AI service deployment, optimizing GPU utilization and significantly reducing costs, thereby unlocking efficiencies and preparing networks for future AI demands.
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Sovereign AI and Edge Compute Expansion
The AINC-interconnect solution also enables sovereign AI strategies and edge compute expansion, addressing multi-domain data compliance needs while reducing reliance on hyperscaler ecosystems. The solution is ideal for AI applications requiring high-bandwidth connectivity, such as real-time analytics, predictive modeling, and large-scale automation, helping customers overcome the challenges of advanced AI service delivery.
