Sarvam AI releases open-source 30B and 105B models built entirely in India

India is pushing to build its own foundational AI models rather than relying on global platforms.

Core Summary

Bengaluru-based startup Sarvam AI has released two open-source large language models, Sarvam 30B and Sarvam 105B, developed entirely in India. The models were trained from scratch using datasets curated by the company and computing infrastructure supported by the IndiaAI Mission. Designed for different workloads, the models aim to deliver competitive reasoning performance while supporting India’s multilingual ecosystem.

Key Details

• Sarvam 30B focuses on fast conversational tasks and supports a 32K token context
• Sarvam 105B targets complex reasoning with a 128K token context window
• Both models use a mixture-of-experts architecture to improve efficiency
• Benchmarks show strong performance on math, coding and agent-based tasks
• Built with support for all 22 official Indian languages, including Hinglish

The models aim to strengthen India’s AI ecosystem by offering locally built, multilingual alternatives to global AI systems.

Can India realistically compete with global AI leaders by building open-source models like this?