엔비디아는 아시아 최대 AI 허브로서의 인도의 혁신에 필요한 마지막 퍼즐이 될 수 있습니다

- 엔비디아는 인도 AI 정상회의에서 광범위한 일련의 계약을 발표했습니다.
- 이에는 8 월 개업을 목표로 아시아 최대 규모의 AI 컴퓨팅 허브를 구축하기 위한 요타 데이터 서비스(Yotta Data Services)와의 20 억 달러 이상의 계약도 포함됩니다.
- 엔비디아의 네모트론(Nemotron) 모델은 언어 격차를 직접적으로 해결하여 인도 기업이 언어 준비가 된 AI 를 구축할 수 있도록 지원합니다.
엔비디아는 인도가 글로벌 인공지능 경쟁에서 주요 플레이어로 자리매김함에 따라 클라우드 제공업체, 벤처 캐피탈 기업, 연구 기관 및 AI 스타트업과 광범위한 거래를 발표하며 인도에서의 뿌리를 깊게 하고 있습니다.
발표는 e Wednesday 뉴델리에서 열린 인도의 AI 영향력 정상회의 기간에 있었습니다. 이 회의는 세계 지도자와 최고 기술 임원들이 모여 AI의 미래를 형성하기 위해 모인 자리였습니다. 엔비디아 CEO 젠슨 황은 참석할 것으로 예상되었으나, 회사가 '예상치 못한 상황'이라고 밝힌 이유로 불참했습니다.
엔비디아는 말했습니다 Peak XV, Z47, Elevation Capital, Nexus Venture Partners, Accel India 등 5개 벤처 캐피탈 기업과 협력하여 다양한 성장 단계의 AI 스타트업을 찾고 지원할 것이라고 밝혔습니다.
Nvidia could be the missing piece for India’s revolution as Asia’s largest AI hub
The announcements came Wednesday during India’s AI Impact Summit in New Delhi, a gathering of world leaders and top tech executives aimed at shaping the future of AI. Nvidia CEO Jensen Huang had been expected to attend but pulled out due to what the company described as “unforeseen circumstances.”
요타, $2 billion 규모의 거래로 아시아 최대 AI 허브 구축
Nvidia said it is working with five venture capital firms, Peak XV, Z47, Elevation Capital, Nexus Venture Partners, and Accel India, to find and back AI startups at various stages of growth.
The company said more than 4,000 Indian AI startups have already joined its global Inception program, which helps young companies build products, grow, and reach customers.
Yotta to build Asia’s largest AI hub in a $⟦N1⟧ billion deal
The project will cost more than $2 billion in total. As part of the deal, Nvidia will set up one of Asia-Pacific’s largest DGX Cloud clusters inside Yotta’s infrastructure under a four-year agreement worth over $1 billion. The facility, branded as Shakti Cloud, will run on more than 20,000 Nvidia Blackwell Ultra GPUs and is expected to go live by August.
It will be located at Yotta’s campus near New Delhi, with extra capacity coming from its site in Mumbai. Yotta is part of Indian billionaire Niranjan Hiranandani’s real estate group and already operates three data center campuses across India.
Nvidia also said it is working with other Indian cloud providers, including Larsen and Toubro and E2E Networks, to deliver AI computing infrastructure across the country.
The push aligns with India’s growing startup market, where venture investors have been pouring money into tech companies, drawn by a strong IPO market that has been delivering solid returns. As reported by Cryptopolitan, Nvidia is also a founding member of $2 billion India Deep Tech Alliance to mentor emerging AI firms across the country.
The investments are part of a broader boom in AI spending in India.
Nvidia’s Nemotron models take aim at India’s language barrier
In one of the biggest deals announced, Indian data center company Yotta Data Services said it will build one of Asia’s largest AI computing hubs using Nvidia’s latest Blackwell Ultra chips.
Part of the problem is language. The world’s biggest AI chatbots do not work in all of India’s 22 official languages, let alone the hundreds of dialects spoken across the country. ChatGPT and Claude currently support around half of them. Google’s Gemini supports nine.
“Without tech that understands and speaks these languages, millions are excluded from the digital revolution, especially in education, governance, healthcare, and banking,” Professor Pushpak Bhattacharyya from IIT Mumbai told the BBC last summer.
The company is also helping Indian companies build AI systems using its Nemotron family of models, which organizations can use to develop chatbots, voice assistants, and AI agents. The models can be trained on India-specific data and support the country’s more than 22 officially recognized languages.
Several Indian companies are already using the technology.
BharatGen, backed by the Indian government, has built a 17-billion-parameter AI model. Gnani.ai is using it to build a speech model for Indian languages and has cut its inference costs by 15 times, now handling more than 10 million calls per day.
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