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What's stopping indian founders and researchers from building a foundational ai model?

Your brain consumes 20 W of power. A single GPU consumes a kilowatt. A data center has tens of thousands of them, and is still not as powerful as your brain. Chew on that before you say AGI is imminent. ~ Pedro Domingos

When we buy a product, we don't always focus on the product itself but often on the person, like a celebrity or cricketer, who endorses or uses it. This is true in many cases. Do you agree?

NVIDIA just pledged up to $100B to OpenAI to build out multi GW AI data centers with millions of GPUs, marking one of the biggest infrastructure bets in AI history.. This isn’t just scale – it’s a signal: GPU power will be the backbone of who leads t

Harnessing GPU Power with CUDA CUDA (Compute Unified Device Architecture) is a parallel computing platform by Nvidia that unleashes the power of GPUs for more than just graphics rendering. Initially developed in 2007, CUDA enables massive parallel p

After selling his bootstrapped startup Wingify for $200 million, Paras Chopra is diving into artificial intelligence. His next big project is a foundational AI research lab in India, focused on building advanced models and algorithms for the world.

Nvidia announces $3,000 personal AI supercomputer called Digits / This desktop-sized system can handle AI models with up to 200 billion parameters. If you were looking for your own personal AI supercomputer, Nvidia has you covered. The chipmaker an

Think if you are a SaaS company or AI-based startup and not sure about which AI model should be used for their specific use cases. As there are around 1M+ Models in Hugging Face itself, all come up with their unique strengths and weaknesses and integ

Google literally dropped a free masterclass with 601 real-world AI use cases