India is building AI datacenters faster than it is producing engineers who can wire them. Over $60–70bn of datacenter investment has been announced for the next five years, capacity is scaling from roughly 1.7 GW toward 5–6.5 GW by 2030, and 38,000+ GPUs are being stood up under the IndiaAI Mission alone — yet the fabric that connects those GPUs is a spine-leaf Clos network that no Indian B.Tech syllabus teaches. Your Computer Networks course stopped at OSPF and a campus LAN. This internship starts where it stopped and takes you all the way to the network design pattern behind every hyperscale and GPU-cloud build: the routed Clos fabric.
The arc is the real engineering arc, in order. You begin with datacenter facilities and topology fundamentals — power, cooling, rack rows, and why the three-tier campus design collapses under east-west AI traffic. Then you build a spine-leaf fabric and do the oversubscription and ECMP math yourself. You bring up an eBGP IP-fabric underlay the way RFC 7938 prescribes it, with one ASN per leaf and unnumbered peering. On top of that underlay you deploy the multitenant overlay — VXLAN with a BGP-EVPN control plane — the same way a GPU-cloud provider isolates customers. Then the part almost nobody in India can do: lossless Ethernet for AI workloads. You configure PFC, ECN and DCQCN, run RoCEv2 traffic across the fabric, deliberately induce congestion, and read the pause frames and CNPs in Wireshark. You finish by designing a rail-optimized GPU-pod fabric, understanding how AllReduce collectives stress it, and automating and instrumenting the whole thing with Python and streaming telemetry. Everything is dual-NOS — Cisco NX-OS on Nexus 9000v and Juniper Junos on vJunos — inside containerlab/EVE-NG cloud pods you can open from a hostel laptop.
This is the RKR flagship, built for the Indian academic calendar and the AICTE/NEP internship mandate: a 4-week winter sprint, the core 8-week summer internship, or a full 24-week semester capstone that maps to your final-year project/internship credits. Every track ends with a graded, defended capstone — a working GPU-pod fabric you built, broke and repaired on camera — plus a version-controlled configuration portfolio, an RKR completion certificate formatted for credit submission, and for distinction-grade interns a direct bridge into the RKR Certified DataCenter Professional (RCDP) track and the hiring pipeline behind India's datacenter build-out.