NVIDIA Chips: A Complete Overview：The Hardware Fou

+ Tight Buffer Fiber Optic Cable. ship to United States | /* Blog & News NVIDIA Chips: A Complete Overview – The Hardware Foundation of an AI Empire NVIDIA Chips: A Complete Overview – The Hardware Foundation of an AI Empire * – Patrick – * Tuesday 23 September, 2025 * 2.1K * 0 — At the foref…

+ Tight Buffer Fiber Optic Cable. ship to United States | /* Blog & News NVIDIA Chips: A Complete Overview – The Hardware Foundation of an AI Empire NVIDIA Chips: A Complete Overview – The Hardware Foundation of an AI Empire * – Patrick – * Tuesday 23 September, 2025 * 2.1K * 0 — At the forefront of the artificial intelligence and high-performance computing wave, a company that started with graphics processors is building the computational foundation for the entire intelligent era through its diversified chip portfolio. NVIDIA Makes $100 Billion Strategic Investment in OpenAI, Ushering in a New Era of AI Computing Power – Francisco – Polarization Maintaining Technology Facilitates Quantum Communications – Patrick – Optical Communication Revolution: Permanently Programmable Fiber Splitters Break Through Network Upgrade Bottlenecks – Francisco – Over 50 million EDGE™ fiber terminations successfully deployed since 2009!​ – Corning |.

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1. Nvidia releases ‘world’s most powerful chip’ for AI

The Blackwell B200 GPU, created by US tech giant Nvidia, significantly boosts AI training and processing speeds.

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2. Nvidia – Wikipedia

[Jump to content](https://en.wikipedia.org/wiki/Nvidia#bodyContent). * [(Top)](https://en.wikipedia.org/wiki/Nvidia#). * [1 History](https://en.wikipedia.org/wiki/Nvidia#History)Toggle History subsection. * [1.1 Founding](https://en.wikipedia.org/wiki/Nvidia#Founding). * [1.2 First graphics accelerator](https://en.wikipedia.org/wiki/Nvidia#First_graphics_accelerator). * [1.3 Public company](https://en.wikipedia.org/wiki/Nvidia#Public_company). * [1.4 2007–2014](https://en.wikipedia.org/wiki/Nvidia#2007%E2%80%932014). * [1.5 2016–2018](https://en.wikipedia.org/wiki/Nvidia#2016%E2%80%932018). * [1.6 2019 acquisition of Mellanox Technologies](https://en.wikipedia.org/wiki/Nvidia#2019_acquisition_of_Mellanox_Technologies). * [1.7 2020–2023](https://en.wikipedia.org/wiki/Nvidia#2020%E2%80%932023). * [1.8 2024–2026](https://en.wikipedia.org/wiki/Nvidia#2024%E2%80%932026). * [2.1 Leadership](https://en.wikipedia.org/wiki/Nvidia#Leadership). * [2.2 Board of directors](https://en.wikipedia.org/wiki/Nvidia#Board_of_directors). * [2.3 Finances](https://en.wikipedia.org/wiki/Nvidia#Finances). * [2.4 Ownership](https://en.wikipedia.org/wiki/Nvidia#Ownership). * [2.5 Fabrication](https://en.wikipedia.org/wiki/Nvidia#Fabrication). * [3 GPU Technology Conference](https://en.wikipedia.org/wiki/Nvidia#GPU_Technology_Conference). * [4 Product families](https://en.wikipedia.org/wiki/Nvidia#Product_families). * [7.1 DGX](https://en.wikipedia.org/wiki/Nvidia#DGX). * [7.2 Robotics](https://en.wikipedia.org/wiki/Nvidia#Robotics). * [8 Inception Program](https://en.wikipedia.org/wiki/Nvidia#Inception_Program). * [9 Controversies](https://en.wikipedia.org/wiki/Nvidia#Controversies)Toggle Controversies subsection. * [9.3 Hardware Unboxed](https://en.wikipedia.org/wiki/Nvidia#Hardware_Unboxed). * [9.10 Deepseek and Nvidia](https://en.wikipedia.org/wiki/Nvidia#Deepseek_and_Nvidia). * [10 See also](https://en.wikipedia.org/wiki/Nvidia#See_also). * [11 Notes](https://en.wikipedia.org/wiki/Nvidia#Notes). * [12 References](https://en.wikipedia.org/wiki/Nvidia#References). * [13 Further reading](https://en.wikipedia.org/wiki/Nvidia#Further_reading). * [14 External links](https://en.wikipedia.org/wiki/Nvidia#External_links). * [Article](https://en.wikipedia.org/wiki/Nvidia “View the content page [c]”). * [Talk](https://en.wikipedia.org/wiki/Talk:Nvidia “Discuss improvements to the content page [t]”). * [Read](https://en.wikipedia.org/wiki/Nvidia). * [Read](https://en.wikipedia.org/wiki/Nvidia). As Huang explained in a blog post, the triangle is “the fundamental building block of computer graphics”.[[65]](https://en.wikipedia.org/wiki/Nvidia#cite_note-McMillan-66). An hour of sushi and begging”.[[125]](https://en.wikipedia.org/wiki/Nvidia#cite_note-fitch20240226-126). * [Nvidia](https://en.wikipedia.org/wiki/Category:Nvidia “Category:Nvidia”). 74 languages[Add topic](https://en.wikipedia.org/wiki/Nvidia#).

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3. Nvidia Plans New Chip to Speed AI Processing, Shake Up … – WSJ

Nvidia plans to unveil a new processor for AI inference computing, designed to help customers like OpenAI build faster, more efficient tools.

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总结

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本文整理自网络，发布时间：2026年04月14日 | 内容仅供参考