The low-cost development of Deepseek a large language model by China created an international shockwave which prompted discussions about India building its AI language models.
Darshan Hiranandani, CEO of Hiranandani Group, which owns data centre giant Yotta, said India would need a major overhaul to get up to speed in the AI race. “Most countries have $6 million and 2000 GPUs of H100. We have it at Yotta. But we haven’t created an ecosystem that invents. It’s a mindset issue.” The events pertaining to DeepSeek's launch will pressure India to develop fast and efficient LLMs for Indian languages.
The development of Deepseek proves that building LLMs of high quality requires much smaller investments than previously estimated. Recent developments have triggered discussions regarding future AI policy in India and the necessity of elevated government investment alongside different thinking regarding AI.
Rajeev Chandrasekhar who served as the minister of state for electronics and IT expressed that the development of DeepSeek alongside its affordable pricing reflects the temporary nature of compute power advantages between countries obtaining early computational power lead.
Hiranandani advocated that IndiaAI Mission should establish access to GPUs as essential resources for startup businesses. The development of AI widgets which operate with current enterprise systems stands as a crucial factor for speeding up AI implementation across industries according to his views.
According to GTT Data Solutions chairman Ganesh Natarajan the potential of Deepseek exists however India needs to overcome China's enormous funding commitments in AI technology. Natarajan revealed that China has operated a large-scale AI investment program during the past 10 years. The leadership position in the field of AI belongs to China and the United States.
According to Aakrit Vaish from IndiaAI as an advisor Deepseek releases a special opportunity for Indian advancement. The statement from Vaish on X clarified that an explosive multiplication of teams combined with corporate model creation should result from this advancement. Company construction expenses will decrease through these developments.
The CEO of Tech Mahindra CP Gurnani expressed similar views about the democratization of AI development. The head of the technology company stated that IITs and NITs can now establish LLM development programs.
Srikanth Velamakanni from Fractal group as co-founder and group Chief Executive places significant value on government involvement. Mr. Velamakanni stated that we currently possess state-of-the-art H100s microprocessors. The current situation calls for immediate action since the expenditure will bring substantial returns.
India must use the challenge presented by Deepseek to speed up its artificial intelligence advancement because it reveals both strengths and hurdles. For progress to occur research and innovation demands a supportive environment together with sufficient funding and researchers and entrepreneurs should adopt risk-taking attitudes.
Natarajan believes Deepseek delivers an appealing solution to developing nations worldwide. He explained that Indian IT services should use open-source models for AI applications to take advantage of their existing strengths.
According to Arvind Thakur (former CEO of NIIT Technologies now known as Coforge) India should be aware of potential risks without rushing into permanent commitments with newly emerged solutions.
The reported data suggests that Deepseek delivers training and deployment expenses which fall within the range of 90-95% lower than other LLMs. Lower costs associated with Deepseek enhance its accessibility to support research institutions and compact companies alongside scientific investigators. Because it operates on open-source principles the technology likely encourages both greater innovation and cooperative developments among users “Thakur said.
Indian industry maintains a high service orientation, but technology implementation remains its primary focus according to him. Industry advancement would be spurred by observing such solutions that approach the market thus encouraging companies to develop and invest in establishing this infrastructure.