Gate News message, April 20 — Sarvam AI, an Indian large language model (LLM) startup founded in 2023, is in talks to raise between $320 million and $350 million at a valuation of approximately $1.5 billion. The funding round includes contributions from Nvidia, Amazon, and HCLTech, which together are expected to invest $150 million to $200 million.
Other major investors include Glade Brook Capital ($20 million to $25 million), Bessemer Venture Partners ($50 million to $70 million), and Prosperity 7 Ventures ($40 million to $50 million). Existing backers Peak XV, Lightspeed, and Khosla Ventures are also expected to participate in the round.
Sarvam’s valuation is significantly supported by its selection by the Indian government as the national AI champion to build India’s sovereign large language model under the IndiaAI Mission. The company has received 4,096 Nvidia H100 GPUs at subsidized rates, the largest single allocation made by the mission to date. Founders Vivek Raghavan, who previously worked on India’s Aadhaar digital identity system, and Pratyush Kumar, co-founder of AI4Bharat, bring extensive experience in building AI solutions for Indian languages.
Disclaimer: The information on this page may come from third parties and does not represent the views or opinions of Gate. The content displayed on this page is for reference only and does not constitute any financial, investment, or legal advice. Gate does not guarantee the accuracy or completeness of the information and shall not be liable for any losses arising from the use of this information. Virtual asset investments carry high risks and are subject to significant price volatility. You may lose all of your invested principal. Please fully understand the relevant risks and make prudent decisions based on your own financial situation and risk tolerance. For details, please refer to
Disclaimer.
Related Articles
Singapore's MAS Urges Banks to Strengthen Cybersecurity Against Mythos AI Model Risks
Singapore's Monetary Authority has advised banks to strengthen cybersecurity measures due to concerns over Anthropic's Mythos AI model, which could pose security vulnerabilities in the Asia-Pacific region.
GateNews4m ago
Context.ai hacked triggers a Vercel security crisis; the CEO publicly shares the full investigation progress
Vercel CEO Guillermo Rauch announced that Context.ai, a third-party AI platform used by Vercel, was compromised. The attackers used Google Workspace OAuth to obtain employees’ account credentials and then gained access to internal environment variables. The investigation shows the attack was carried out in three stages. Vercel has taken emergency measures and provided security recommendations, including reviewing activity logs and rotating environment variables.
MarketWhisper7m ago
France summons Musk to appear in Paris on April 20 and be questioned by X
Elon Musk was subpoenaed in Paris on April 20, 2026 for a voluntary interview regarding France’s investigation into the social media platform X, mainly concerning his actions involving its algorithm and AI chatbots Grok. The investigation includes alleged conspiracy to possess child sexual abuse material and denial of crimes against humanity. French prosecutors have searched the X company and expanded the investigation to other countries.
MarketWhisper50m ago
China's AI Model Call Volume Drops 23.8% Week-over-Week, U.S. Surpasses for First Time in Two Months
Global AI model call volumes declined to 206 trillion tokens last week. China's calls dropped to 444.1 trillion, while U.S. volumes rose to 490.8 trillion, surpassing China's for the first time in two months. Four of the top nine models are Chinese, with DeepSeek V3.2 second in calls.
GateNews2h ago
Axios exclusive: The U.S. NSA bypassed the Pentagon blacklist to use Anthropic Mythos, and Dario Amodei urgently met with the White House to negotiate
Despite the U.S. NSA banning Anthropic within the Pentagon, it still uses its strong model Mythos, sparking disagreements and skepticism among government agencies. The NSA’s use and the Pentagon’s ban create a self-contradiction, exposing internal inconsistencies in U.S. AI governance. The CEO of Anthropic has met with White House officials to discuss usage boundaries and safety concerns, and in the future may adjust government procurement processes and transparency standards.
ChainNewsAbmedia2h ago
Top AI Models Lag on Routine Enterprise Tasks, Databricks Says Smaller Specialized Models Outperform
David Meyer of Databricks highlights the limitations of top AI models in routine enterprise tasks, contrasting their success in complex problems. Fundamental differences in data types impact performance, leading to a shift towards smaller, efficient models tailored for specific workflows to improve reliability and cost-effectiveness in AI applications.
GateNews2h ago
