Marketplace Tech Raising the “speed limit” on AI’s “information highway”
Jan 26, 2026
Satish Vangala, Director of network product development at Amazon Web Services, leads engineering on data center networking for AI scale. He tours an AWS lab and describes high-capacity 800-gig gear, fiber and connector design, and miniaturized 64-fiber connectors that speed deployment. The conversation highlights transponders, ergonomics of small parts, and the core challenges of meeting demand, scaling fast, and ensuring resilient networks.
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Miniaturized Connectors Speed Deployment
- Satish Vangala walked Megan through an AWS networking lab filled with racks, transponders, and fiber cables.
- He showed a 64-fiber single connector that cut deployment time by over 54% compared with many individual plugs.
Network Latency Feels Like Traffic Jams
- Satish compares networks to an information highway where massive clusters of CPUs and GPUs exchange data.
- He emphasizes that eliminating traffic jams and delays is essential to make user experience feel instant.
Small Hardware Changes Have Outsized Impact
- Small hardware innovations, like easier-to-plug connectors, are crucial infrastructure for the AI investment surge.
- Those tiny improvements compound to enable the multi-trillion-dollar AI build-out to scale efficiently.