E2E Networks Boosts India's AI Game with Nvidia H200 GPUs

E2E Networks, a leading Indian cloud service provider, becomes the first to bring the revolutionary NVIDIA H200 Tensor Core GPUs to the country. This groundbreaking technology is poised to significantly accelerate India's progress in the field of generative AI, a technology predicted to add a staggering $1.5 trillion to India's GDP by 2030.

Unprecedented Power for Businesses

The H200 GPUs boast a cluster of features designed specifically for generative AI. With a massive 4.8 TB/s of memory bandwidth, 141 GB of GPU memory, and a performance leap of 1.9x compared to the previous generation, businesses can now scale up their AI applications with ease. This translates to faster training, smoother inference, and the ability to tackle even the most complex AI models.

HBM3e Memory: A Game Changer

The H200 is the first GPU to utilize HBM3e memory, a faster and larger alternative to previous generations. This translates to real-time AI inference, complex simulations, and efficient handling of high-compute tasks.

"E2E Networks is dedicated to empowering Indian businesses with the latest AI advancements," said Tarun Dua, Co-founder and Managing Director of E2E Networks. "Our partnership with NVIDIA provides access to high-performance, scalable, and resilient infrastructure powered by the H200 GPUs. This will undoubtedly drive innovation across all sectors."

Vishal Dhupar, Managing Director for India at NVIDIA, echoed Dua's sentiment, stating, "E2E's inclusion of H200 GPUs strengthens India's foundation for an AI-powered future. This empowers organizations to develop groundbreaking applications and propel India's vibrant digital economy."

E2E Cloud: A Hub for AI Development

E2E Networks is not only scaling its cloud infrastructure with H200 GPUs, but also integrating them into their flagship product, TIR, an AI development studio. This will be the first platform in India to offer seamless access to H200 capabilities, allowing developers to effortlessly train foundational AI models and revolutionize the efficiency of AI development in the country.

E2E Networks anticipates the H200 GPU to be a driving force for training large language models (LLMs) and large vision models (LVMs) in India.