Can a Pure GPU Achieve Autonomous Driving? Technically, a pure GPU can achieve a certain level of autonomous driving, but it has significant shortcomings and is difficult to meet the demands of high-level autonomous driving. GPUs can handle the parallel computing tasks required for autonomous driving (such as sensor data fusion and image recognition), but … Read more
Unit 1: Introduction to Process and Control – Teaching Design Framework1. Unit ThemeIntroduction to Process and Control(This unit consists of lessons 1-4, focusing on the identification of control devices in daily life, the control of states by switches, the working process of control systems, and the ‘Input-Compute-Output’ model. The core objective is to understand the … Read more
With the rapid development of algorithms such as deep learning, large models, and generative artificial intelligence, the advancement of artificial intelligence has placed higher demands on chip computing power, leading to the emergence of AI-specific chips that meet these higher computing requirements. In February 2025, Huawei launched a groundbreaking product called the “Ascend DeepSeek Large … Read more
Since the birth of computers, the famous von Neumann architecture has been adopted.This is an architecture centered around computation and storage, with the CPU serving as the processing unit responsible for performing various arithmetic and logical calculations. The memory (RAM) and hard drive (external storage) are responsible for storing data and interacting with the CPU.Von … Read more
Q: What is the progress and mass production schedule for Broadcom’s main cooperative chips? A: Broadcom has a total of seven main and potential cooperative customers, each with different progress and mass production schedules. Among them, Google, Meta, and OpenAI are mass production customers this year. Google has already mass-produced multiple generations of chips and … Read more
Welcome to the True Deep Dive community (click) ← Don’t miss any snippets. If GPUs are like “off-the-rack suits,” then ASICs are like “bespoke tuxedos.” The former can meet the needs of most occasions, but the latter fits perfectly—just like ASICs are tailored computing circuits for specific AI models. When Google launched its first TPU … Read more
The global AI computing power market is focusing on the customized ASIC chip field, entering a smoke-free “wheel battle”: OpenAI is preliminarily testing some of Google’s Tensor Processing Units (TPUs); NVIDIA has officially released NVLink Fusion, directly confronting the UALink alliance composed of several tech giants.… As the customized computing power competition enters deeper waters, … Read more
AI ASIC Tracking – June 3, 2025AI ASIC Tracking – June 21, 2025 OpenAI and Google Reach Collaboration OpenAI is one of the major customers of Nvidia AI chips and has recently started leasing Google’s AI chips (TPUs) to support products like ChatGPT. This marks OpenAI’s first significant use of non-Nvidia chips. OpenAI aims to … Read more
Core Logic: ASIC AI chips are designed to optimize specific algorithms, thus demonstrating stronger computational power and efficiency than GPU when executing specific tasks, while also consuming less power and being more cost-effective. Currently, major overseas companies such as Google, META, and Amazon are actively investing in ASIC chips, and domestic companies are also continuously … Read more
Recently, Nike announced its latest achievement in 3D printing – the Nike FlyWeb fabric. According to official sources, Nike FlyWeb fabric is made from soft and elastic thermoplastic polyurethane (TPU) material, formed into an ideal product shape through 3D printing technology. The first product to use Nike FlyWeb fabric is a women’s sports bra. On … Read more