Robert Miers 
Ollama is the easiest way to run open AI models like Llama, Qwen, Gemma 4, DeepSeek-R1 and Mistral on your own server. One command downloads and runs a model, and it exposes an API that tools like Open WebUI, n8n and LangChain can use. With a GPU, Ollama responses are many times faster. 🧮 Not … Read more
Oobabooga is the nickname of the developer behind Text Generation WebUI, and the name most people use for the app itself. This guide shows how to run it, load an open AI model and use it for chat, roleplay, coding help or as a local API. Why Use Oobabooga? Step 1: Install Follow our Text … Read more
ComfyUI is the node-based interface for AI image and video generation. It runs Stable Diffusion, SDXL, FLUX.1, FLUX.2 and video models like Wan and HunyuanVideo. These models need a lot of VRAM, so hosting ComfyUI on a GPU server is the best way to get fast results without a high-end PC. How Much VRAM Does … Read more
ComfyUI is the most powerful open-source interface for AI image and video generation. This guide shows three ways to install ComfyUI on your PC in 2026, how to configure it, and how to fix common problems. System Requirements Minimum Recommended GPU NVIDIA 6–8 GB (or AMD / Apple Silicon) NVIDIA RTX 16–24 GB RAM 16 … Read more
This guide shows how to install Automatic1111 (Stable Diffusion WebUI) on Windows step by step in 2026, from installing Python and Git to generating your first image. Requirements Step 1: Install Python 3.10.6 Automatic1111 works best with Python 3.10.6. Download it from python.org and tick Add Python to PATH during installation. Step 2: Install Git … Read more
Automatic1111 (Stable Diffusion WebUI) is the classic open-source browser interface for Stable Diffusion. It made AI image generation accessible to millions with its simple tabs for text-to-image, image-to-image, inpainting and a huge extension library. What Is Automatic1111? It is a Gradio-based web app that runs Stable Diffusion models locally or on a server. You open … Read more
Meta’s Llama models are some of the most widely used open-weight AI models. Llama 3.1 and 3.3 (8B, 70B and 405B) and the Llama 4 Mixture-of-Experts models (Scout and Maverick) power thousands of self-hosted chatbots, coding assistants and AI agents. Here is how much GPU you need and where to host them. 🧮 Not sure … Read more
XGBoost is the go-to gradient boosting library for tabular data, used in finance, marketing, fraud detection and Kaggle competitions. With GPU acceleration, XGBoost training can be 10× faster or more on large datasets. Which GPU Do You Need for XGBoost? Workload Recommended GPU Why Learning and small models Free Kaggle/Colab T4, RTX A4000 (16 GB) … Read more
Running Android emulators like BlueStacks, LDPlayer, MEmu or Nox on a remote GPU server lets you keep apps and games running 24/7, test apps at scale, or run many instances without tying up your own PC. A dedicated GPU keeps every instance smooth. Server Requirements for Android Emulators Each Android Emulators instance typically needs 2–4 … Read more
The NVIDIA Tesla V100 introduced Tensor cores and powered the first wave of large-scale deep learning. In 2026 it is a budget data-center GPU: slower than an A100, but with fast HBM2 memory and very low rental prices. In this 2026 guide we cover the Tesla V100’s specs, what it can (and cannot) do today, … Read more