GPUMart Blog - Deep Learning, AIGC, Android Emulator, Live Streaming, & Tech Tools

We will continue to compile our GPU server experience into articles, where you can learn how to choose, use, and optimize GPU servers to better accelerate your business with GPUs.

Android Emulator

2 Best Lite GPU Servers for Android Emulator 2023 ➥
Our managed Lite GPU Servers with dedicated Nvidia Geforce GT 710/730 cards is a good choice for Android emulators such as BlueStacks, LDPlayer, etc.
2 Best Express GPU Servers for Android Emulator ➥
Our managed Express GPU Servers with dedicated Nvidia Quadro P620/P1000 cards is a good choice for Android emulators such as BlueStacks, LDPlayer, etc.
2 Best Basic GPU Servers for Android Emulator 2023 on GPUMart ➥
Our managed Basic GPU Servers with dedicated Nvidia GeForce GTX 1650/1660 cards is a good choice for Android emulators such as BlueStacks, LDPlayer, etc.
Top 5 Plans for BlueStacks 5 on GPUMart ➥
BlueStacks is a popular and free emulator that allows you to run Android apps on a PC computer. We will share our BlueStacks test reports and hope it will help you to choose the right plans for you.
Top 5 Plans for LDPlayer 9 on GPUMart ➥
LDPlayer is a free Android emulator using virtualization technology and it can help people experience Android operation system on their powerful computers. We will share our BlueStacks test reports and hope it will help you to choose the right plans for you.

Live Streaming

Best GPU Servers for Live Streaming on YouTube with OBS Studio ➥
OBS Studio is a free and open-source software for video recording and live streaming. We will share our OBS test reports and hope it will help you to choose the right plans for you.
Best GPU Servers for Live Streaming on YouTube with Streamlabs ➥
Streamlabs is a live streaming software that allows content creators to add a variety of features and customizations to their streams. We will share our Streamlabs test reports and hope it will help you to choose the right plans for you.

Deep Learning

How to Install CUDA 11.x on Ubuntu 20.04/22.04 ➥
With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. This article walks you through how to install Nvidia CUDA 11.x on Ubuntu.
How to Update Nvidia Drivers on Windows/Linux ➥
Use the latest drivers to unleash the potential of your GPU. Do you need to update your Nvidia graphics card driver? This article walks you through how to update Nvidia drivers.
How to Install Pytorch with CUDA support on Windows 10 ➥
PyTorch benefits significantly from using CUDA (NVIDIA's GPU acceleration framework), here are the steps to install PyTorch with CUDA support on Windows.
Top 10 Reasons Why You Should Learn PyTorch ➥
PyTorch is a popular open-source Python-based framework for machine learning.It has gained significant popularity in the research community and is widely used in academia and industry.


How to Run LLMs with LM Studio? ➥
LM Studio enables you to discover, download, and run Large Language Models (LLMs) that you can use in your local computer environment, offline.
Ollama vs LM Studio: What's the Key Differences? ➥
This tutorial explains what Ollama is, what LM Studio is, and the main differences between them.
How to Run LLMs Locally with Ollama AI ➥
Ollama is a powerful tool that is designed to help users run a wide range of language models. Let's see how to get up and running with Llama 2, Mistral, and other large language models locally.
How to run Llama 2 Using Text Generation WebUI Oobabooga ➥
Llama 2 is a family of generative text models that are optimized for assistant-like chat use cases or can be adapted for a variety of natural language generation tasks. We will show you how to easily install Llama 2 using TextGen WebUI Oobabooga on our bare metal GPU server with a Nvidia RTX A5000 graphics card.
How to Install DragGAN AI on Windows ➥
In this guide, We provide you with a comprehensive walkthrough of the installation process, encompassing the necessary software and the sequential actions you need to take to download and install DragGAN AI.
How to install Stable Diffusion WebUI AUTOMATIC1111 on Windows ➥
How to install Stable Diffusion WebUI AUTOMATIC1111 on Linux ➥
Stable Diffusion, a machine learning model that's open-source, has the ability to generate images from text, modify images based on text, or enhance low-resolution or low-detail images. It has been trained on billions of images and can produce results that are on par with those generated by DALL-E 2 and MidJourney. This tutorial will cover installing AUTOMATIC1111 GUI, so that you can make your judgement by using it. After this tutorial, you can generate AI images on your own PC.
How to create QR code art using Stable Diffusion WebUI ➥
I art is getting increasingly popular. Despite its visual aspect, there are not many options for how you can utilize it. An excellent new technique of generating AI art might be helpful for brand communication or even merch production - a new way to utilize QR codes.
Top 10 Best Stable Diffusion Models You Need to Try ➥
There are thousands of Stable Diffusion models available. Many of them are special-purpose models designed to generate a particular style. We've compiled the 10 best Stable Diffusion models you can use to generate stunning images in a variety of styles.
Stable Diffusion WebUI AUTOMATIC1111: Text-to-image Guide ➥
In this guide, I will show how to use individual settings of Stable Diffusion to achieve excellent results in image generation. And I will use Stable Diffusion web UI AUTOMATIC1111.
Quick Guide to Using Stable Diffusion AI ➥
This beginner’s guide is for newbies with zero experience with Stable Diffusion or other AI image generators. You will get an overview of Stable Diffusion and some basic useful tips.
ChatGPT vs Google Bard: What are the differences? ➥
We dive into in-depth research comparing Google's chatbot Bard with ChatGPT. Explore Bard and ChatGPT differences as we analyze their training dataset, human-like response, price, text processing, access to the Internet, and User Friendliness.

GPU Recommendation

5 Best GPUs for AI and Deep Learning in 2024 ➥
The NVIDIA A100 is the best GPU for deep learning if you need the highest possible performance. However, it is also the most expensive and power-hungry GPU. If you are on a budget or do not need the highest possible performance, the RTX A6000, RTX 4090, A40, or Tesla V100 may be better options.
Top 5 NVIDIA GPUs for Gaming in 2023 ➥
In this article, we will take an in-depth look at what are arguably the top 5 gaming GPUs currently available from Nvidia. By comparing specifications, performance benchmarks, pricing and other key factors, our goal is to determine which GPU provides the best gaming experience for most use cases and budgets.
5 Best GPUs for Deep Learning in 2023 ➥
GPUs have emerged as the hardware of choice to accelerate deep learning training and inference. Selecting the right GPU is crucial to maximize deep learning performance. This article compares NVIDIA's top GPU offerings for deep learning - the RTX 4090, RTX A6000, V100, A40, and Tesla K80.
How to Choose a GPU server for Video Editing ➥
Video editing is one of the most popular operations we perform on our computers or workstations, but it is not easy to choose a graphics card server that meets its video editing needs.This article help you correctly select the best configured GPU server based on your specific needs.

GPU Monitor and Benchmark

5 Best GPU Monitor Software for Windows ➥
In this blog post, we will explore the top five GPU monitor software for Windows that can help you keep an eye on your GPU's performance, temperatures, and other crucial metrics.
15 Best GPU Benchmark Software ➥
Benchmarking your graphics card is easy if you have the right video card benchmark tool. Let's explore the 15 best GPU benchmark software together.
How To Monitor CPU and GPU Temp on Windows ➥
CPU and GPU temp affects the performance and longevity of your hardware. There are multiple ways to monitor GPU and CPU temp on Windows.
How to Monitoring and Managing GPUs with Nvidia-smi ➥
The nvidia-smi command-line utility is the gateway to understanding and managing the powerhouse that GPUs represent in GPU servers. In this tutorial, we’ll explore using nvidia-smi to display the full name of NVIDIA GPUs, troubleshoot common issues, and even dive into some advanced features to get the most out of this utility.
Monitor GPU Utilization with NVIDIA-SMI ➥
NVIDIA itself provides the best command line utility tool nvidia-smi to monitor and keep track of your GPUs. There is a command-line utility tool, Nvidia-smi (also NVSMI), that can monitor and manages NVIDIA GPUs such as Tesla, Quadro, GRID, and GeForce. It is installed along with the CUDA toolkit and provides you with meaningful insights.
Top 3 Linux GPU Monitoring Command Line Tools ➥
There are some fancy but very useful tools for NVIDIA GPU. It is a ncurses-based GPU status viewer for NVIDIA GPUs similar to the htop command or top command. We can install it as follows using the pip/apt command on a Debian or an Ubuntu Linux.

GPU Server and Nvidia Driver Troubleshooting

GeForce Experience Driver Download Failed ➥
ow to fix the "NVIDIA Installer cannot continue" error? You've come to the right place.
NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver ➥
How to fix the “NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver” error?
Failed to initialize NVML: Driver/library version mismatch ➥
This problem occurs because the NVIDIA driver library version is inconsistent with the system kernel module. To fix it, we just need to remove the current nvidia driver and reinstall the correct NVIDIA driver version.
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