Hey I am on Medial • 1y
Rather than paying individuals, this model might work better for cloud providers or enterprise data centers to monetize their idle GPU capacity for AI. They could offer AI workload processing as a service and rent out their compute resources more efficiently.
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NexLabs • 16d
The next compute revolution isn’t silicon. It’s simulation. Synthetic data is the new GPU - and it’s changing how AI learns forever. Read Part 1 of our Simulation-First Thought Series (Vol. II) https://medium.com/@Srinath-N3XLabs/synthetic-data-is-t
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Think Different • 1y
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
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Building JalSeva and... • 1y
How NVIDIA’s Blackwell platform and its role in transforming AI infrastructure 1. Open Compute Project Collaboration: NVIDIA is sharing components of its Blackwell platform with OCP, aiming to align its AI infrastructure with open and scalable stand
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Software Developer f... • 1m
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
See More"Deep Thinking. Toug... • 27d
🚀 The 2000s had the Internet boom — this decade belongs to AI. Back then, those who couldn’t code built the backbone — data centers, hosting, and infra — and created lasting wealth. Today, it’s happening again. I’m building an AI infrastructure com
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Hey I am on Medial • 9m
The AI Data Center Race Has Begun! The global battle for AI dominance is fueling massive investments in data centers. Companies and governments are racing to build high-powered infrastructure to support AI’s growing demands. In India, Reliance Indu
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