Questions tagged [hardware-evaluation]

Use for objective evaluations and assessments of computing devices and components, including CPUs, GPUs, etc., based on architecture and performance statistics. Opinions may be suitable for comments, but not for formal answers.

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56 views

What amount of ressources is involved in building an image recognition system?

I would like to have an order of magnitude of ressources required to build an image recognition system. Let say you want to build a startup company which main product will have to distinguish 20 ...
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1answer
733 views

How feasible is it to perform pose estimation on a Raspberry Pi 4 using a Pi-Cam?

I want to estimate hand poses and recognize gestures using an open-source library like OpenPose on live video. Considering the fact that such libraries are very computationally intensive. How likely ...
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Can a trained Vid2Vid model be run on AMDs Ryzen 2700x with 32GB of RAM?

I know that training deep neural networks (DNNs) takes a lot of computational resources. This is, of course, just a generalized statement. Different networks require different resources. One that I ...
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1answer
5k views

What is the reason AMD Radeon is not widely used for machine learning and deep learning? [closed]

What is the reason AMD Radeon is not widely used for machine learning and deep learning? Is it mainly an issue of lack of software? Or is Radeon's GPU not as good as NVIDIA's?
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1answer
488 views

What kind of hardware and software are required to build an AI system? [closed]

What kind of hardware (processor, memory, graphics card, etc.) and software are required to build an AI system? How do we go about linking each and every one of them to their proper place and function?...
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3answers
459 views

Necessity of GPUs and hardware minimum specs for Deep Learning? [closed]

I’m doing some research into what hardware I need and what hardware I have available in college for a final year project. The project is designing a self driving car/computer vision system inside a ...
9
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1answer
171 views

Will quantum computing have any kind of effect on the development of AI? [duplicate]

Recently, according to some reports Google achieved something called 'Quantum Supremacy'. Whether its true or not remains to be seen. But my question is does Quantum Computers or the principle they ...
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2answers
4k views

How fast is a GPU compared to a CPU for training deep learning models, and which GPU should I buy? [closed]

First of all, I don't play games at all, and I am still quite new to deep learning. I was using AlexNet (transfer learning, actually) in MATLAB to classify images in my current laptop (i5-3230, ...
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2answers
3k views

Does fp32 & fp64 performance of GPU affect deep learning model training? [closed]

I am purchasing Titan RTX GPU. Everything seems fine with that except float32 & float64 performance which seems lower vis-a-vis some of its counter parts. I wanted to understand if single ...
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1answer
51 views

At what point are AWS GPU instances worth it compared to CPU, price-wise? [closed]

Let's say for: Image tasks Deep RL in high dimensional state space
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0answers
29 views

Evaluating Utility of Incremental RAM

The Nvidia 2080 GPUs command a $500 premium for 3GB of incremental RAM (8GB -> 11GB). What are the relevant questions and thought process to determine the incremental improvement by moving from the ...
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2answers
680 views

Asus zenbook with deep learning [closed]

Is the laptop Asus ZenBook Pro 90NX0152-M02980 enough to do deep learning model? Specs: Processeur Intel Core i7-7500U (Dual-Core 2.7 GHz / 3.5 GHz Turbo - cache 4 MB) 8 GB Memory SSD M.2 SATA de ...
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0answers
179 views

Is PCIe the bottleneck in a deep learning GPU system, so it makes sense to choose Nvidia NV-Link over more Tesla V100 graphics cards? [closed]

I'm considering a GPU system for deep learning applications, mainly for training models with large datasets. So I'm not sure whether it makes sense to choose Nvidia NV-Link over more Tesla V100 ...
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1answer
2k views

Thoughts on Apple Mac Pro vs GCP/AWS for Deep Learning? [closed]

I've been oogling the Mac Pro from Apple with loaded specs. Check it here if unfamiliar. I'm curious to hear anyone's thoughts of the computer for deep learning/machine learning applications vs ...
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1answer
658 views

What are the minimum computing resources needed to train a machine learning algorithm?

For a school project, I would like to investigate a paper on either reinforcement learning or computer vision. I am particularly interested in DQN, RNNs, CNNs or LSTMs. I would eventually like to ...
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3answers
4k views

CPU preferences and specifications for a multi GPU deep-learning setup [closed]

For a multi (4xTitan Xp) GPU deep learning setup what kind of CPU is preferable? Specifically I am comparing: Intel Xeon E5-2620 with 8x2.1GHz 20MB L3 Cache Intel Xeon E5-1620K with 4x3.5Ghz 10MB L3 ...
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3answers
10k views

Can I do deep learning with the 1060 or the 1070 ti? [closed]

Before I start, I want to let you know that I am completely new to the field of deep learning! Since I need a new graphics card either way (gaming you know) I am thinking about buying the GTX 1060 ...
10
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3answers
1k views

What size of neural networks can be trained on current consumer grade GPUs? (1060,1070,1080)

is it possible to give a rule of thumb estimate about the size of neural networks that are trainable on common consumer grade GPUs? For example: The Emergence of Locomotion (Reinforcement) paper ...
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2answers
225 views

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?
3
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1answer
240 views

What type of reinforcement learning can I do restricted to ~200MB on an average smartphone?

This concerns a set of finite, non-trivial, combinatorial games [M] in the form of an app. A sample game can be found here. Because this is a mass market product, we can't take up too much space, ...
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2answers
617 views

In 2016, can $1000.00 buy enough operations per second to be approximately equal to the computational power of a human brain?

In The Age of Spiritual Machines (1999), Ray Kurzweil predicted that in 2009, a \$1000 computing device would be able to perform a trillion operations per second. Additionally, he claimed that in 2019,...