Key facts
- Indian companies are turning to Chinese LLMs from DeepSeek, Alibaba, and Moonshot AI to cut AI expenses.
- DeepSeek's LLM is noted for its significantly lower training and deployment costs compared to Western counterparts.
- The affordability of these models could enable more Indian startups and researchers to engage in AI development.
- Experts highlight the need for India to develop its own AI ecosystem and secure access to resources like GPUs.
- Concerns are raised about India's potential over-reliance on foreign technology, particularly from China.
Indian companies are increasingly turning to Chinese large language models (LLMs) from developers like DeepSeek, Alibaba, and Moonshot AI to manage their artificial intelligence expenditures. This trend highlights India's growing reliance on China for advanced technologies, despite ongoing geopolitical tensions.
The emergence of DeepSeek, an LLM developed at a significantly lower cost than its Western counterparts, has prompted discussions about India's AI strategy and the need for greater government support and investment in domestic AI capabilities. Experts suggest that the reduced cost of building and deploying high-quality LLMs, exemplified by DeepSeek, could democratize AI development, making it more accessible to Indian startups and researchers.
However, concerns persist regarding India's AI sovereignty and the potential risks associated with depending on foreign technology. While DeepSeek's models are accessible via APIs and offer substantial cost savings per token compared to providers like OpenAI, questions remain about its fully open-source nature, as the training data has not been made publicly available. This situation serves as a wake-up call for India to accelerate its AI ambitions by fostering a supportive ecosystem, ensuring adequate funding, and cultivating a risk-tolerant mindset among its innovators.