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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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1answer
136 views

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

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
59 views

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

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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2answers
64 views

Necessity of GPUs and hardware minimum specs for Deep Learning?

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 ...
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1answer
97 views

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

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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0answers
16 views

Mapping model types to GPU Requirements

GPU are available in 6,8,&11 Gigabyte increments. I would like to understand the thought process and questions should be asked when deciding which of the 3 memory sizes is to be chosen. The ...
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2answers
1k views

RTX 2060 vs GTX 1060 6GB for deep learning

First of all I don't play games at all and I still quite new to deep learning.I was using Alex-net(transfer learning actually) in MATLAB to classify images in my current laptop(i5-3230,without any GPU)...
2
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2answers
714 views

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

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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2answers
1k views

Which GPU will be better for deep learning the upcoming radeon 7 or rtx 2080ti

I'm looking to build a PC for deep learning will tensoflow work on amd GPU with the same speed as on nvidia ones as amd doesn't have tensorcore or cuda cores but it will have 16gb of hbm vram his much ...
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0answers
25 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
241 views

Asus zenbook with deep learning

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
147 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?

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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0answers
58 views

Cameras for automatic customer service machine [closed]

For my university project, I am planning to build an automated customer service machine. One which recognizes when someone approaches the camera according to says hello, etc. Also, I am planning to ...
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0answers
112 views

Testing of artificial network hardware acceleration — Any additions?

The Current Plan to Possibly be Augmented TranSeed Labs is testing two PCI express artificial network acceleration products and their SDKs against easy to assemble data sets and demos. Aaeon Up PER-...
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1answer
1k views

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

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 ...
4
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1answer
242 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 ...
5
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3answers
3k views

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

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 ...
5
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3answers
8k views

1070 ti or 1060 6GB for deep learning

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 with ...
3
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1answer
223 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, ...