Dive into the world of AI investments with the top 10 AI startups that raised over $100M in 2026 and their future outlook.
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Learn about The Hidden Machines Powering the AI Boom and their vital role in the evolution of artificial intelligence today.
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How Google Outsmarted NVIDIA with One Move ? Gemini 3 wasn’t trained on NVIDIA GPUs at all, but entirely on Google’s own TPUs. These custom AI chips, built with Broadcom and manufactured by TSMC, have quietly become Google’s escape plan from NVIDIA’s 92% market dominance. Born from a 2014 crisis and now in their sixth generation, TPUs power everything from YouTube ads to Gemini 3’s breakthrough reasoning. With 2× better accuracy than GPT-5.1, Google’s momentum is accelerating fast.
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from CloudMelon Vis https://www.youtube.com/shorts/6iY7EoqFhkQ
Understand the strategic shift in AI as Big Tech fights over AI chips, moving beyond the race for just better models.
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Meta’s 20 years infrastructure evolution is insane! Learn how Meta scaled Facebook from a simple LAMP stack (Linux – operating system, Apache – HTTP server, MySQL – database and PHP, Perl or Python – programming language) to a globally distributed system serving billions of users. This journey involved building custom infrastructure and superclusters, long before modern solutions like Kubernetes existed, demonstrating their approach to scaling meta ads and overall facebook advertising efforts. This evolution highlights the early importance of robust infrastructure and how it set the stage for advancements in artificial intelligence with 129,000-GPU AI superclusters. Training models is hard, but building infrastructure that never breaks is harder.
All AI infrastructure Shorts are here : https://www.youtube.com/playlist?list=PLyDI9q8xNovk3VaVq1Cd722pKlmlvW0Lf
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from CloudMelon Vis https://www.youtube.com/shorts/H-btSiDIfn4
Discover the limitations of the $20K humanoid robot designed for the home. Why does it still need a human babysitter?
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AI’s real battlefield is no longer models, it’s silicon. The video discusses the development of custom AI chips by tech giants like Google, Amazon, and Microsoft. Microsoft’s Maya 100, an 820-square-millimeter AI accelerator built on a 5nm process, is highlighted for its cloud-scale capabilities. This approach is similar to how companies are now thinking about solutions that leverage custom chatgpt or ai agents to enhance customer support ai operations. As custom chip plans evolve, partnerships with OpenAI and Broadcom reveal the next phase: co-designed AI systems where chips, models, and networks scale together.
All AI infrastructure Shorts are here : https://www.youtube.com/playlist?list=PLyDI9q8xNovk3VaVq1Cd722pKlmlvW0Lf
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Check out other ongoing series on our channel:
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My books are on sale :
Certified Kubernetes Administrator (CKA) Exam Guide
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The Kubernetes workshop
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Azure Integration Guide for Business
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from CloudMelon Vis https://www.youtube.com/shorts/zLSk5IuiT10
Explore why Kubernetes is quietly becoming the operating system for AI, addressing key challenges in machine learning production. Check ou...
