Vigyanlabs, a homegrown company born in an incubator at Sri Jayachamarajendra College of Engineering, Mysore, is transforming the way data centres manage energy, tackling inefficiencies with adaptive algorithms that reduce the wastage by nearly 50%. With its solutions now deployed across 1.5 to 6 million machines worldwide, Vigyanlabs is making a significant impact—helping businesses slash energy costs while drastically lowering their carbon footprint. Its data centre facility has been designed with 70% less cement to keep it cool naturally, cutting cooling costs by 30%, while their custom-built transformers minimise energy loss. The company has a network of micro data centres, backed by 7+ US patents, which operate on renewable energy and consume 50% less than hyperscalers. Notably, Vigyanlabs claims that its green micro data centres operate without using any water for cooling. By optimising chiller operations, it successfully reduces PUE (power usage effectiveness) from 2.0 to 1.20. What's more? The company utilises its proprietary LLM, Mysore.ai, which it claims offers a significantly lower cost and energy footprint by an order of magnitude compared to models developed by Meta, Google, and OpenAI. Read the full story here >> When using an optimised version of OpenAI's upcoming o3 model, select deep research in ChatGPT's input tab. This will give you specialised answers using web browsing and data analysis. The tool can interpret and synthesise information from text, images, and PDFs, adjusting its approach based on newly discovered insights.
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