E2E goes live with next-generation NVIDIA B200 cluster deployed using NVIDIA Certified Reference Architecture

India's AI ambitions are no longer limited by ideas or talent — they're shaped by access to frontier compute. As the IndiaAI Mission accelerates investment into foundational AI capabilities, demand for scalable, high-performance, locally developed, and locally hosted infrastructure has shifted from a nice-to-have to a national priority.

That's the gap E2E Networks is built to close.

Frontier compute, built on a validated foundation

E2E Networks — one of India's early CloudGPU infrastructure providers and among the earliest NVIDIA Cloud Partners (NCPs) in the country — has gone live with its next-generation NVIDIA B200 cluster, deployed using NVIDIA's Certified Reference Architecture.

The reference design matters. It means the cluster runs on NVIDIA-Certified HGX B200 systems with InfiniBand and high-speed networking — a validated, reference-grade configuration rather than a bespoke build. For enterprises, that's the difference between predictable, production-ready performance at scale and an infrastructure science experiment.

The Blackwell architecture is purpose-built for the workloads defining this era of AI: large-scale training, fine-tuning, multimodal systems, agentic AI, and real-time inference.

"With the deployment of NVIDIA B200 infrastructure, E2E is taking another significant step toward building one of the most advanced AI cloud platforms in India," said Tarun Dua. "The Blackwell architecture unlocks a new era of accelerated computing, enabling organizations to innovate faster, train larger AI models, and deploy production-grade AI applications with significantly improved efficiency and performance."

TIR: where raw compute becomes usable AI infrastructure

The new cluster is built on TIR, E2E's enterprise-ready Sovereign AI CloudGPU platform. TIR gives users seamless access to high-performance GPU computing through simplified deployment workflows — letting teams rapidly provision infrastructure for large-scale model training, fine-tuning, inference, and production deployment without operational complexity.

It's supported by open-source ecosystems, NVIDIA Enterprise software, and NVIDIA Nemotron open models — supercharging sovereign AI development across agentic AI, healthcare, finance, manufacturing, and agriculture.

"Our focus is not only on delivering raw compute power, but also on democratizing access to advanced AI infrastructure. Through TIR AI/ML Platform, enterprises and developers can leverage Blackwell-powered computing capabilities with security, compliance, high performance, scalability, and operational simplicity, backed by a team with deep experience in building and operating AI infrastructure at scale."

Sovereign by design

For organizations in regulated sectors, the value isn't only the silicon — it's where the workloads run. TIR keeps frontier AI development inside India, giving enterprises across government, BFSI, healthcare, and critical digital infrastructure a path to Blackwell-class compute without their data leaving the country.

The real question

For India's builders, the question is no longer whether frontier compute is available at home — it's what you'll build with it.

What would be the first model you'd train on B200-class infrastructure?