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Open for AI: India Tech Leaders Build AI Factories for Economic Transformation
- India’s leading cloud infrastructure providers and server manufacturers are ramping up accelerated data center capacity.
- By year’s end, they’ll have boosted NVIDIA GPU deployment in the country by nearly 10x compared to 18 months ago.
- Tens of thousands of NVIDIA Hopper GPUs will be added to build AI factories — large-scale data centers for producing AI — that support India’s large businesses, startups and research centers running AI workloads in the cloud and on premises.
- Yotta Data Services is providing Indian businesses, government departments and researchers access to managed cloud services through its Shakti Cloud platform to boost generative AI adoption and AI education.
- Tata Communications is initiating a large-scale deployment of NVIDIA Hopper architecture GPUs to power its public cloud infrastructure and support a wide range of AI applications.
- E2E Networks supports enterprises in India, the Middle East, the Asia-Pacific region and the U.S with GPU-powered cloud servers.
- Netweb is expanding its range of Tyrone AI systems based on NVIDIA MGX, a modular reference architecture to accelerate enterprise data center workloads.
- NVIDIA’s roadmap features new platforms set to arrive on a one-year rhythm.
- By harnessing these advancements in AI computing and networking, infrastructure providers and manufacturers in India and beyond will be able to further scale the capabilities of AI development to power larger, multimodal models.
- Optimize inference performance and train the next generation of AI applications.
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