Key announcements from the India AI Impact Summit: investment, infrastructure, and new models

Summary

India is hosting a four-day India AI Impact Summit aimed at attracting more AI investment. The event is set to bring together executives from major AI labs and Big Tech — including OpenAI, Anthropic, Nvidia, Microsoft, Google, and Cloudflare — alongside heads of state. The summit is expected to draw 250,000 visitors.

Key updates include new public funding, major fundraising rounds, expanded compute commitments, office openings, and multiple model launches — including multilingual and open-source releases.

In practice

• India earmarked $1.1 billion for a state-backed venture capital fund that will invest in AI and advanced manufacturing startups.
• OpenAI CEO Sam Altman said India accounts for more than 100 million weekly active ChatGPT users (second only to the U.S.) and that Indians make up the largest group of students using ChatGPT.
• Blackstone took a majority stake in Indian AI startup Neysa as part of a $600 million equity raise; the company plans to raise another $600 million in debt and deploy more than 20,000 GPUs.
• Bengaluru-based C2i, building a power solution for data centers, raised $15 million in a Series A led by Peak XV with participation from Yali Deeptech and TDK Ventures.
• AMD is teaming up with Tata Consultancy Services (TCS) to develop rack-scale AI infrastructure based on AMD’s “Helios” platform.
• Anthropic said it is opening its first India office in Bengaluru and that India is the second-biggest user of Claude after the U.S.
• Anthropic is partnering with Infosys to deploy Claude models and tools such as Claude Code to Indian enterprises, starting in telecom with a dedicated Anthropic Center of Excellence.
• Cohere Labs launched a family of multilingual models with open weights supporting 70+ languages, designed to run on local devices, and said it also released models tuned to specific regions.
• OpenAI said it will open two new India offices (Bengaluru and Mumbai) and partnered with the Tata group to deploy 100 megawatts of compute in India, aiming to scale to 1 gigawatt.
• India’s tech minister Ashwini Vaishnaw said the country wants to attract over $200 billion in investment for AI infrastructure in the next two years.
• Indian AI company Sarvam teased smart glasses (“Sarvam Kaze”) and said it recently released multiple models (dubbing, speech-to-text, text-to-speech, and a vision OCR model); it also released two new open-sourced models (Sarvam 30B and Sarvam 105B) and announced partnerships with Qualcomm, HMD, and Bosch to bring models to devices.
• Adani said it is allocating $100 billion to build renewable-powered AI data centers in India by 2035 and that this could drive an additional $150 billion of investment in areas such as server manufacturing, advanced electrical infrastructure, sovereign cloud platforms, and supporting industries.
• Voice AI company Cartesia is teaming up with orchestrator Blue Machines to deploy enterprise voice solutions with local data residency.
• Voice AI startup Gnani released a zero-shot voice-cloning TTS model called Vachana supporting 12 languages.
• BharatGen, a government-backed AI consortium, released a 17B-parameter model called Param 2 that works across 22 languages.
• Streaming service JioHotstar said it will use ChatGPT to aid content discovery via conversational search.

What we still don't know

The text does not provide timelines, detailed commercial terms, or technical benchmarks (performance, cost, rollout constraints) for many of the infrastructure commitments, partnerships, and model releases described.

Why it matters

• It signals India’s push to secure capital and compute as strategic inputs for AI growth.
• New offices and enterprise partnerships could accelerate local adoption and hiring.
• Multilingual and open-weight models may broaden access across languages and hardware tiers.
• The announcements underscore intensifying global competition for data centers, energy, and GPUs.