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💡An Idea to Change the Game for AI Startups: Making AI Processing Faster, Cheaper, and Effortless Running AI models like ChatGPT, DALL·E, or AlphaCode is a computing monster—they need massive power to function, which makes them expensive to operate

🦾AI model training comes with significant costs. This chart highlights the estimated expenses for training top AI models like Google’s Gemini 1 and OpenAI’s ChatGPT-4 in 2023. These costs, calculated using both cloud computing and amortized hardware

𝗕𝗮𝗰𝗸 𝗶𝗻 𝘁𝗵𝗲 𝟮𝟬𝟬𝟬𝘀, 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝘀𝘁𝗮𝗿𝘁𝘂𝗽 𝘄𝗮𝘀 𝗯𝗿𝘂𝘁𝗮𝗹. Everything burned cash — servers, CRMs, dev tools. No social media. No cheap distribution. Most founders had no choice but to chase VCs just to survive. Today

DeepSeek just shook the AI world—and NVIDIA felt it. A single company wiped 17% off NVIDIA’s market cap—that’s $600B (~₹48,00,000 Cr)gone overnight. For perspective, that’s: - More than the combined value of TCS, Reliance, and HDFC Bank - Bigge

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,

𝗔𝗜 𝗶𝗻 𝟮𝟬𝟮𝟱 = 𝗦𝘄𝗶𝗴𝗴𝘆/𝗭𝗼𝗺𝗮𝘁𝗼 𝗶𝗻 𝟮𝟬𝟭𝟳. Super cheap, ultra addictive — and totally VC-subsidized. Remember ₹1 deliveries and 50% off everything? Yeah — not sustainable. Investors were buying growth, not profits. 𝗦𝗮𝗺𝗲 𝘀𝘁�

Big news in the AI & blockchain space! Singapore-based start-up Gradient Network has raised $10M in seed funding to revolutionize AI infrastructure. Their mission? To develop two powerful protocols—Lattica and Parallax—that decentralize AI processing

OpenAI has begun using Google's tensor processing units (TPUs) to power ChatGPT and other products, marking a significant shift away from its reliance on Nvidia chips and Microsoft's data centers. This strategic move aims to reduce the high costs ass

This is the best time time to build SAAS wrappers or Consumer Apps as the models get dirt cheap. here are some free ideas from Greg to steal (ai, ai agents, saas, consumer) Identifying real problems and making solutions using AI has never been che

Got a great product, team, and traction but VCs are still passing?here are 6 common reasons: * Market Size Too Small: Your concept's proven, but is the total addressable market large enough for VC-level returns (10x+)? VCs seek massive scale, not ju