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Kiran

Hey I am on Medial • 4h

🚀 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 company focused on enabling adoption — from GPU hosting and API automation to custom model deployment and workflow tools for businesses that can’t build AI in-house. We’ll start lean with ₹5–10 lakhs, renting GPU capacity, automating deployment layers, and offering it to startups, agencies, and small enterprises. Once validated, we’ll scale into a full infra-as-a-service model with early acquisition potential. If you missed the last tech wave, this is your second chance. Looking for a Co-founder (preferably tech background) or Investor to join in building the picks and shovels of this AI gold rush. DM to connect.

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Ankush Sharma

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You built for scale. But skipped the ₹𝟮𝗖𝗿 𝗴𝗿𝗮𝗻𝘁 that would’ve paid for your infra. Founders today are deploying AWS like it’s free water— while ignoring the ₹2Cr+ in non-dilutive capital the Indian government is begging you to use for infra,

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In the AI era, profit margins aren't coming from 'good' service, but from ruthlessly optimized efficiency and rock-solid infrastructure. The battle is shifting from who has the best model to who can run it the cheapest and fastest. Cost-per-inference

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I have built a website using React for the frontend and Node.js for the backend. This website is intended for a real-life project, and I am seeking guidance on the following aspects of deployment: 1. Hosting & Server Options: Which hosting platforms

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💀 99% of AI Startups Will Die by 2026 – Here's Why 1. LLM Wrappers ≠ Real Products Most AI startups are just pretty UIs over OpenAI’s API. No real backend. No IP. No moat. They're charging ₹4,000/month for workflows that cost ₹300 if done directly

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Venkateswara Reddy

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People should start building AI and tech and infra , instead of delivery apps

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AprameyaAI • 1y

Nvidia's journey (2/2) began in 1993 with Jensen Huang, Curtis Priem, and Chris Malachowsky aiming to revolutionize digital interaction. By 1999, their GeForce 256 GPU set new standards for 3D graphics, making waves in the tech world. The early 200

AcharyaRudraksha

"?" • 1y

Can I make 3d render model in elite book 840 g6 laptop i5 8th with 8gb ram and intergeted gpu? For my startup 😾

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PRATHAM
•

Medial • 1y

NVIDIA is cashing in on the AI gold rush by selling shovels to tech giants ‼️ GPUs are essential in training complex neural networks, and NVIDIA's accelerate AI adoption worldwide. Their processors power 90% of supercomputers and are used by every m