Zoho co-founder Sridhar Vembu praises Sarvam AI, calls it 'world class'

Zoho CEO

• Zoho's Vembu lauds Sarvam AI for energy-efficient models
• Sarvam AI shows advanced AI can be built with less power and cost
• Efficient AI crucial for sustainable tech growth and cost reduction

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Zoho co-founder Sridhar Vembu has praised Sarvam AI for demonstrating that high-quality artificial intelligence can be built using significantly lower energy and computing resources, calling the company’s work “world class” and important for the future of sustainable AI development.

In a post on X, Vembu said Sarvam AI’s approach shows that advanced AI systems do not necessarily require massive infrastructure and power consumption, a growing concern as global AI adoption accelerates.

Vembu highlighted that Sarvam AI has proven it is possible to develop capable AI models in a more affordable and environmentally responsible manner. According to him, reducing energy and compute usage is becoming critical as current large-scale AI systems place increasing pressure on global power resources.

He added that the planet cannot sustain the present energy footprint of many modern AI models, particularly those relying on extensive data centers and large server farms for training and deployment.

Code generation seen as key area for efficiency

The Zoho co-founder also pointed to software code generation as a domain where more energy-efficient AI approaches can be developed. He suggested that instead of relying on brute-force scaling of model sizes, the industry should focus on smarter algorithms and architectures that deliver strong performance with fewer resources.

This shift, Vembu believes, could help the AI sector continue to grow without proportionally increasing environmental impact, while also lowering costs for businesses and developers adopting AI tools.

Vembu’s comments sparked discussion within the tech community, with some users agreeing that performance per unit of energy should become a key benchmark for AI progress. Others noted that while efficiency improvements are necessary, they could also lead to wider adoption and higher overall energy usage — a phenomenon often referred to as the Jevons paradox.

Several responses praised Sarvam AI for challenging the trend of ever-larger models and focusing instead on targeted, task-specific systems that deliver results without excessive resource consumption.

As AI applications expand across sectors such as software development, finance, healthcare, and manufacturing, concerns around electricity use, cooling requirements, and carbon emissions are increasing. Large data centers already account for a growing share of global energy demand.

Efficient AI models like those promoted by Sarvam AI are increasingly being viewed as a practical path toward balancing technological progress with environmental responsibility, particularly in emerging markets where power infrastructure remains under strain.