E2E Networks Installs 1,024 NVIDIA B200 GPUs in Chennai to Power Next Generation AI Computing

Key Highlights

  • E2E Networks Limited has procured NVIDIA B200 GPU clusters at its Chennai data centre.
  • The deployment includes 1,024 NVIDIA B200 GPUs with around 184 TB of GPU memory.
  • Infrastructure is designed for large-scale AI model training and fine-tuning.
  • The investment strengthens India-based AI compute capacity with data residency compliance.

E2E Networks Limited has announced the procurement of NVIDIA B200 GPU clusters at its Chennai data centre, marking a significant expansion of its artificial intelligence cloud infrastructure capabilities. The development is aimed at supporting advanced AI workloads and strengthening the domestic availability of high-performance compute resources.

The newly deployed infrastructure comprises 1,024 NVIDIA B200 GPUs, offering approximately 184 terabytes of GPU memory along with significantly higher memory bandwidth compared to earlier-generation GPUs. The configuration is designed to support training and fine-tuning of large-scale artificial intelligence models, including next-generation language models, as well as complex AI research and deployment requirements.

The Chennai-based GPU cluster is expected to support a wide range of AI-driven use cases, including real-time applications across healthcare, autonomous systems, financial analytics, and advanced research. The company stated that the infrastructure is aligned with growing enterprise demand for scalable and high-performance AI compute capacity within India.

E2E Networks also highlighted that enterprises operating under strict data residency and regulatory frameworks can access these GPU resources through its sovereign cloud platform. This enables organisations to deploy advanced AI workloads while maintaining compliance with Indian data localisation and regulatory norms.

The procurement of NVIDIA B200 GPU clusters further strengthens E2E Networks’ position in the AI-focused cloud infrastructure segment, as the company continues to invest in expanding domestic compute capabilities to support India’s evolving artificial intelligence ecosystem.

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