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Google expands its eighth-generation TPU line with TPU 8tx and TPU 8i Max
খবরে কেন?
Google's new AI chips take on Nvidia: what does TPU stand for, and why GS3 asks
Google adds two chips to its eighth-generation TPU range.
Why it matters: GS-3 core; factual, Prelims-type
What you need to know
2 মিনিট
Google has added TPU 8tx and TPU 8i Max to its eighth-generation Tensor Processing Unit portfolio.
TPUs are custom chips designed for machine-learning workloads.
The launch comes as technology firms compete to challenge Nvidia's dominance in AI hardware.
সূত্র: Topper IAS editorial (PIB / The Hindu / Indian Express)
মূল তথ্য
Remember these
- Google added TPU 8tx and TPU 8i Max to its eighth-generation TPU portfolio.
- TPU stands for Tensor Processing Unit, a custom chip designed for machine-learning workloads.
- Technology firms are competing to challenge Nvidia's dominance in AI hardware.
- Topic fits GS Paper 3: Science and Technology, covering AI and computing hardware.
প্রিলিমস · মেইনস
How the exam will ask it
প্রিলিমস
- TPU stands for Tensor Processing Unit and is a custom chip built for machine-learning workloads.
- TPUs are application-specific accelerators, unlike general-purpose CPUs.
- Nvidia is the dominant supplier of AI hardware, and rival technology firms are building their own chips to challenge it.
মেইনস
GS Paper 3 (Science and Technology): AI chips are the core hardware of the AI economy, and heavy dependence on a few suppliers creates strategic risk. For India, the IndiaAI Mission and semiconductor policy aim to build domestic compute capacity. The way forward is to invest in chip design, fabrication and talent while diversifying supply sources.
Quick recall
Answer before you reveal
In computing, TPU, the name of Google's AI accelerator chips whose new versions were announced in November 2026, stands for:
- Tera Processing Unit
- Tensor Processing Unit
- Texture Processing Unit
- Transfer Protocol Unit
উত্তর দেখুন
উত্তর: B — Correct: Tensor Processing Unit — TPU stands for Tensor Processing Unit, a chip type built for machine-learning workloads. • Tera Processing Unit — wrong: 'Tera' is a unit prefix, not the expansion of TPU. • Texture Processing Unit — wrong: Texture units belong to graphics processors, not to Google's TPUs. • Transfer Protocol Unit — wrong: 'Transfer Protocol' relates to networking, not to AI chips.
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