Google Unveils 8th Gen TPU Chips: End of GPU Era? 🤖

Google just announced its 8th generation TPU chips… but instead of releasing one AI chip, they released TWO.
TPU 8t for training. TPU 8i for inference.
But why would Google split AI workloads across different chips? And how is this different from NVIDIA’s GPU strategy?
In this video, we break down:
• CPU vs GPU vs TPU from scratch
• Why GPUs became the foundation of modern AI
• How matrix multiplication powers neural networks
• What makes TPUs fundamentally different
• Systolic arrays explained visually
• Training vs inference workloads
• Why AI agents are changing hardware design
• TPU 8t vs TPU 8i architecture
• Google vs NVIDIA in the AI chip war
This is one of the biggest architectural shifts happening in AI infrastructure right now.

📚 Related Resources:
→ System Design Course: https://academy.bytemonk.io/courses
→ ByteMonk Blog: https://blog.bytemonk.io/
→ LinkedIn: https://www.linkedin.com/in/bytemonk/
→ Github: https://github.com/bytemonk-academy

🕐 CHAPTERS
00:00 Why Google Built TWO AI Chips
00:32 What Is a CPU Core?
03:04 GPU Architecture Explained
04:20 How GPUs Accidentally Won AI
05:22 What Is a TPU?
07:15 Why Training and Inference Are Different
08:28 Google vs NVIDIA: The AI Chip War

https://www.youtube.com/playlist?list=PLJq-63ZRPdBt423WbyAD1YZO0Ljo1pzvY
https://www.youtube.com/playlist?list=PLJq-63ZRPdBssWTtcUlbngD_O5HaxXu6k
https://www.youtube.com/playlist?list=PLJq-63ZRPdBu38EjXRXzyPat3sYMHbIWU
https://www.youtube.com/playlist?list=PLJq-63ZRPdBuo5zjv9bPNLIks4tfd0Pui
https://www.youtube.com/playlist?list=PLJq-63ZRPdBsPWE24vdpmgeRFMRQyjvvj
https://www.youtube.com/playlist?list=PLJq-63ZRPdBslxJd-ZT12BNBDqGZgFo58

#NVIDIA #Google #TPU #GPU