Thursday, 8 January 2026

What happens to Microsoft Maia ?

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
And deep dive https://www.youtube.com/playlist?list=PLyDI9q8xNovmJgA2RG47VdWAWsZDSB1jR

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Monday, 5 January 2026

AI Valuations Are Completely Broken Right Now, This Is Not Shark Tank Math!

Big Tech is pouring billions into artificial intelligence , with $155 billion spent in the first 8 months of 2025 alone, treating these massive investments like monopoly money. From 100× revenue multiples to billion-dollar seed rounds, this video explores how investors typically value companies, using simple math based on revenue and margins, but highlights how the rules are changing in the current ai bubble .

Full video is here on our channel https://youtu.be/fnkqb0d_rnA and full AI ventures playlist https://www.youtube.com/playlist?list=PLyDI9q8xNovmChZnCAtfd_E4clgJ-7bei

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📚 Certified Kubernetes Administrator (CKA) Exam Guide
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📚 The Kubernetes workshop
Paper pack ► https://amzn.to/41VEu3q
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📚 Azure Integration Guide for Business
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Thursday, 1 January 2026

From simple database to 129k GPU clusters Meta’s infrastructure evolution is insane!

How did Meta scale Facebook before Kubernetes existed? By rebuilding the internet itself. Meta’s journey from a simple LAMP stack to 129,000-GPU AI superclusters, Meta’s infrastructure journey shows why AI changes everything. 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
And deep dive https://www.youtube.com/playlist?list=PLyDI9q8xNovmJgA2RG47VdWAWsZDSB1jR

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Check out other ongoing series on our channel:
🟩 Tech – Fun and Factual ► https://bit.ly/cvisiona-fun-tech
🟦 Cloud-Native AI from Zero to Production ► https://bit.ly/3BaEznH
🟧 AI Startup Playbook ► https://bit.ly/ai-startup-cloudmelon
🟪 CVisiona Newsroom ► https://bit.ly/cvisiona-newsroom

My books are on sale :
📚 Certified Kubernetes Administrator (CKA) Exam Guide
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📚 The Kubernetes workshop
Paper pack ► https://amzn.to/41VEu3q
Kindle ► https://amzn.to/3na7qpc

📚 Azure Integration Guide for Business
Paperback ► https://amzn.to/3RSHtHp
Kindle ► https://amzn.to/3PRJVvo

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Kubernetes Is Quietly Becoming the Operating System for AI

Explore why Kubernetes is quietly becoming the operating system for AI, addressing key challenges in machine learning production. Check ou...