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How Water Cooling is Driving Sustainability in Mining Farms

How Water Cooling is Driving Sustainability in Mining Farms

14

2022

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12

AI chip characteristics and comparison

AI chip characteristics and comparison

At present, in the field of intelligent driving, general-purpose chips suitable for parallel computing such as GPUs and FPGAs are mainly used to achieve acceleration in processing deep learning AI algorithms. At the same time, some chip companies have begun to design ASIC-specific chips for AI algorithms, such as Google TPU, Horizon BPU, etc. Before the large-scale rise and mass launch of intelligent driving industry applications, the use of existing general-purpose chips such as GPUs and FPGAs can avoid the high investment and high risk of specializing in the development of custom chips (ASICs). However, because the original intention of such general-purpose chips is not Specifically for deep learning, there are problems such as insufficient performance and high power consumption. These problems will become increasingly prominent as the application scale of the autonomous driving industry expands.

21

2022

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06

Why GPU can be used to accelerate the computing speed of artificial intelligence or machine learning (parallel computing power)

Why GPU can be used to accelerate the computing speed of artificial intelligence or machine learning (parallel computing power)

Calculation is calculation. Mathematically, it is the same. 1+1 is calculated as 2. The CPU can also calculate the neural network. The calculated neural network works well in practical applications, but the speed will be very slow. That's it.

21

2022

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06

What kind of GPU is the best choice for AI training?

What kind of GPU is the best choice for AI training?

As we all know, today’s state-of-the-art deep learning models take up huge memory space, and many GPUs that used to be powerful in performance may now be slightly insufficient in memory. Explores which GPUs can train models without memory errors, which are better suited for PCs and small workstations. The core conclusion of this article is that video memory size is very important. Yes, video memory size is limiting the training of many deep learning models.

21

2022

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06

AI makes graphics card, graphics card runs AI! Nvidia realizes chip design self-loop?

AI makes graphics card, graphics card runs AI! Nvidia realizes chip design self-loop?

Bill Dally, chief scientist and senior vice president of research, for example, provides an annual overview of Nvidia's R&D organization and some details on current priorities.

21

2022

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06

What is EpiK Protocol?

What is EpiK Protocol?

In 2012, Google's Knowledge Graph product initially took shape, ushering in the era of knowledge graphs. Up to now, knowledge graphs have been widely used in various tasks of natural language processing, such as information search, automatic question answering, decision analysis, etc. in many fields such as finance, e-commerce, medical care, and government affairs.

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2022

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06

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