Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [hardware]

For questions involving, but not exclusively about, hardware. (Please use the "hardware-evaluation" for questions exclusively about analysis of hardware components.)

Ideally this tag is for questions that involve hardware, but are not exclusively about hardware.

For questions specifically asking for factual evaluation of hardware, use the "hardware evaluation" tag.

28 questions
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Are we technically able to make, in hardware, arbitrarily large neural networks with current technology?

If neurons and synapses can be implemented using transistors, what prevents us from creating arbitrarily large neural networks using the same methods with which GPUs are made? In essence, we have seen how extraordinarily well virtual neural networks…
frodeborli
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How does using ASIC for the acceleration of AI work?

We can read on Wikipedia page that Google built a custom ASIC chip for machine learning and tailored for TensorFlow which helps to accelerate AI. Since ASIC chips are specially customized for one particular use without the ability to change its…
kenorb
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3 answers

How powerful a computer is required to simulate the human brain?

How much processing power is needed to emulate the human brain? More specifically, the neural simulation, such as communication between the neurons and processing certain data in real-time. I understand that this may be a bit of speculation and it's…
kenorb
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1 answer

How powerful is the machine that beat the poker professional players recently?

How powerful is the machine that beat the poker professional players recently (DeepStack)?
user6411
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7
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1 answer

Who manufactures Google's Tensor Processing Units?

Does google manufacture TPUs? I know that google engineers are the ones responsible for the design, and that google is the one using them, but which company is responsible for the actual manufacturing of the chip?
Alecto Irene Perez
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7
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1 answer

Are more than 8 high performance Nvidia GPUs practical for deep learning applications?

I was prompted towards this question while trying to find server racks and motherboards which are specialized towards artificial intelligence. Naturally I went to the SuperMicro website. There the chassis+motherboard which supported the maximum GPUs…
Rushat Rai
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How do neural network topologies affect GPU/TPU acceleration?

I was thinking about different neural network topologies for some applications. However, I am not sure how this would affect the efficiency of hardware acceleration using GPU/TPU/some other chip. If, instead of layers that would be fully connected,…
user2316602
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Which artificial intelligence algorithms could use tensor specific hardware?

AI algorithms involving neural networks can use tensor specific hardware. Are there any other artificial intelligence algorithms that could benefit from many tensor calculations in parallel? Are there any other computer science algorithms (not part…
bob smith
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Are there any microchips specifically designed to run ANNs?

I'm interested in hardware implementation of ANNs (artificial neural networks). Are there any popular existing technology implementations in form of microchips which are purpose designed to run artificial neural networks? For example, a chip which…
kenorb
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2 answers

What is the difference between a normal processor and a processor designed for AI?

What is the difference between a normal processor and a processor designed for AI?
user9947
3
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1 answer

What exactly is an XPU?

I know about CPU, GPU and TPU. But, it is the first time for me to read about XPU from PyTorch documentation about MODULE. xpu(device=None) Moves all model parameters and buffers to the XPU. This also makes associated parameters and buffers…
hanugm
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What are the aspects that most impact on the inference time for neural networks in embedded systems?

I work with neural networks for real-time image processing on embedded softwares and I tested different architectures (Googlenet, Mobilenet, Resnet, custom networks...) and different hardware solutions (boards, processors, AI accelerators...). I…
firion
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Are artificial networks based on the perceptron design inherently limiting?

At the time when the basic building blocks of machine learning (the perceptron layer and the convolution kernel) were invented, the model of the neuron in the brain taught at the university level was simplistic. Back when neurons were still just…
Douglas Daseeco
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Could a large number of interconnected tiny turing-complete computer chips be patterned across a wafer to simulate a programmable neural network?

The Intel 8080 had 4500 transistors and ran at 2-3.125 MHz. By comparison, the 18-core Xeon Haswell-E5 han 5,560,000,000 transistors and can run at 2 GHz. Would it be possible or prudent to simulate a neural network by backing a chip chock-full of a…
Alecto Irene Perez
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If we achieve sentience using mutable hardware, will it be possible to make a copy of that "brain" and its active state?

Hardware comes in two forms, basically: immutable, such as RAM, and mutable, such as FPGAs. In animals, neurological connections gain in strength by changing the physical structure of the brain. This is analogous to FPGAs whereby signal strength is…
Dave Jarvis
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