In a strong endorsement of India’s growing AI ecosystem, Zoho co-founder and Chief Scientist Sridhar Vembu has praised Bengaluru-based startup Sarvam AI, describing its work as “world class” and a model for building high-quality artificial intelligence without massive energy and computing demands. Vembu, who oversees the technical developments at Zoho Corporation, has usually been vocal about artificial intelligence and its role in society.
Vembu shared his views in a recent post on X (formerly Twitter), highlighting Sarvam AI’s demonstration that advanced AI systems can achieve top-tier performance in a more affordable, sustainable, and environmentally responsible way.
Zoho’s Sridhar Vembu sheds light on Sarvam AI
In his post, Vembu highlighted the breakthrough implications. “What Sarvam AI has demonstrated – world class AI can be done much more affordably and sustainably with much lower energy and compute footprint – is important. I have come to believe that in software code generation, much more energy and compute efficient approaches to AI can be developed,” wrote Vembu.
Vembu further advocated for innovation in efficiency, particularly in areas like software code generation. “That is important because the earth cannot afford today’s AI energy footprint,” he added, raising concerns about the impact of AI’s effect on the environment.
Why Sarvam AI’s approach matters
Sarvam AI has gained attention for developing efficient AI models that deliver high performance while significantly reducing energy consumption and compute requirements — a critical factor as global concerns mount over AI’s environmental impact, including soaring electricity use by large-scale data centers.
Vembu’s comments come amid rising debates on the true cost of AI development, where resource-intensive large language models (LLMs) from Western giants dominate headlines. By contrast, Sarvam AI‘s approach aligns with India’s strengths in frugal innovation and positions it as a leader in building inclusive, low-footprint AI suitable for emerging markets with limited power infrastructure.
Vembu’s followers consider it as a call to action for the industry to shift toward leaner, smarter AI development. Such models could lower barriers to entry, reduce costs, mitigate environmental harm, and enable wider adoption in sectors like software, finance, healthcare, and manufacturing — especially in resource-constrained regions.