Questions tagged [hardware]
For questions related to data science and its overlap with computer hardware. This may include GPUs, processing times, cloud computing, TPUs, etc.
30 questions
1vote
1answer
1kviews
Advice on deep learning PC build using dual 4090s
I’m an engineering grad student, and I’ve been tasked with finding parts for building a shared workstation for my lab. Our work includes deep learning, computer vision, network analysis, reinforcement ...
- 11
0votes
0answers
37views
How to determine the best number of cores and memory for Spark job
How can we determine the optimal number of cores and memory for running Spark jobs based on data volume, the number of jobs, and their frequency? From what I've read, we can determine the number of ...
0votes
1answer
968views
Is RTX 2050 compatible with PyTorch? Is it even CUDA-capable?
The NVIDIA site does not list GTX 2050 as CUDA enabled, and does not list its compute capability. However, if you google "Is RTX 2050 cuda enabled", the first result you get is some NVIDIA ...
-1votes
2answers
322views
Laptop for machine learning jobs
I am buying a new laptop for data science and web development jobs. Which combination is better: i9 (12900H) & NVIDIA T600 4GB or i7 (12800H) & NVIDIA RTX1000A 4GB? Both run on a DELL ...
2votes
2answers
1kviews
Which desktop hardware is best for DL?
I will be building my home Deep Learning workstation. Right now, I'm digging for some time about the best HW to use for home conditions. The workstation will be used for my work as a developer, but I ...
0votes
1answer
781views
How to find the number of operation ( multiplication or addition etc) required given a Keras model?
I want to implement an FPGA code or hardware code of a Keras model. As a first step, I want to find the number of mathematical operations required to evaluate a predicted output given a model. The ...
- 103
3votes
1answer
1kviews
How do NVIDIA GPU restrictions affect AI computational frameworks?
I know this question is very vendor specific and as time passes it might change but I am wondering how NVIDIA available GPU cards nowadays (2022) are restricted in any way license wise or hardware ...
- 139
1vote
0answers
7views
Hardware datapaths for weights and operands
A paper, Survey and Benchmarking of Machine Learning Accelerators, mentions Conversely, pooling, dropout, softmax, and recurrent/skip connection layers are not computationally intensive since these ...
- 143
1vote
1answer
279views
How many video streams can single GPU handle for object detection
I need to detect objects from multiple video streams at realtime (or close to it, like 10 FPS). How many GPUs do I need to detect objects using YOLOv3 or MobileNet for, say, 10 video streams? Is it ...
- 111
2votes
1answer
199views
How do data types influence hardware (CPU / GPU / TPU) performance?
I am currently dealing with a relatively big data set, for which I have some memory usage concerns. I am dealing with most of the different data types : floats, integers, Booleans, characters strings ...
- 2,614
1vote
1answer
431views
Is it true more CPU core is better for deep learning?
I just started to learn the deep learning in my free time. I was hoping to buy a laptop where I want to implement some small(alexnet) to medium(GoogleNet) networks maybe something bigger. I searched ...
2votes
0answers
36views
Will GPU optimized model run on TPU?
There is a project which contains models in DLC format (Snapdragon Neural Processing Engine - SNPE) that I guess are optimized for the Qualcomm Snapdragon 820 chipset (see second link). The project ...
- 121
0votes
1answer
136views
Why GPU doesn't utilise System memory?
I have noticed that more often when training huge Deep Learning models on consumer GPUs (like GTX 1050ti) The network often doesn't work. The reason is that the GPU just doesn't have enough ...
- 227
0votes
1answer
41views
Performance gain of GPU when learning DNNs
Currently, I learn deep neural networks on my CPU (i7-6700K) using TensorFlow without AVX2 enabled. The networks need about 3 weeks to be learned. Therefore, I am searching for a (cheap) way to speed ...
- 51
1vote
0answers
11views
Which PC hardware would you recommend to invest in for movement ecology studies in R (x,y,t data analysis)? [closed]
I mean all possible work with tagging data: GIS, tagging data pre-processing, visualisation, different types of modelling, simulations and modern analysis. I think it will be about 40 tagged animals ...
- 11
