News Run huggingface spaces on RunPod! You can run any Huggingface space on Runpod! As every Huggingface space has options to run it with docker now this gives the option of running the space locally, which we can use to run the image with runpod here, 1. 7860 is the port being forwarded here in the
Art Guide to Using the Kohya_ss Template with Runpod Introduction: In this post, we will discuss the process of utilizing the Kohya_ss template with Runpod. The Kohya_ss template is designed for desktop CUDA and supports applications like Kohya_ss. We will provide a step-by-step guide to help you get started. It is recommended to use the NVIDIA
News Four Reasons To Set Up A Network Volume In the RunPod Secure Cloud Network Storage is a new RunPod feature (currently in beta) that works with our Secure Cloud data center-hosted pods. Normally, volumes for pods are destroyed irrecoverably after you terminate the pod, but this allows storage to persist and even be reassigned to different pods if needed. Here are several reasons
News Ada Architecture Pods Are Here - How Do They Stack Up Against Ampere? The Ada architecture is the latest architecture developed by Nvidia that is capable of achieving vastly improved performance on AI and HPC workloads compared to previous Nvidia GPU architectures. Ada also comes equipped with a new generation of Tensor Cores, which greatly accelerate matrix operations commonly used in deep learning
Runpod Platform Avoid Errors By Selecting The Proper Resources For Your Pod RunPod instances are billed at a rate commensurate with the resources given to them. Naturally, an A100 requires more infrastructure to power and support it than, say, an RTX 3070, which explains why the A100 is at a premium in comparison. While the speed of training and using models is
Runpod Platform How to Connect VSCode To RunPod While working in a terminal window is sometimes good enough, it's much nicer to work within your IDE if you are doing interactive development. Fortunately, you can connect your VSCode IDE to your RunPod instance via SSH. This will allow you to edit files and code on your remote instance
APIs Serverless | Create a Custom Basic API RunPod's Serverless platform allows for the creation of API endpoints that automatically scale to meet demand. The tutorial guides you through creating a basic worker and turning it into an API endpoint on the RunPod serverless platform. For this tutorial, we will create an API endpoint that helps us accomplish
APIs Create a custom AUTOMATIC1111 serverless deployment with your custom model Have you ever wanted to create your own serverless AUTOMATIC1111 endpoint with a custom model that can scale up and down? Now you can do so without much hassle by following this guide! Pre-requisites A computer (local or cloud) with the following: * docker installed * git installed * a relatively fast upload
APIs Easily Run Invoke AI Stable Diffusion on RunPod Ever wanted to try invoke ai's awesome stable diffusion infinite canvas out, but didn't want to go through the hassle of installing a bunch of stuff? Maybe you just don't have a local GPU that can run it fast enough? No worries, we've got you covered with our easy deploy
Runpod Platform Google Colab Pro vs RunPod GPU Cloud Google Colab Pro Plus costs $50 with a chance to get a V100 or (in rare cases) a A100 GPU. Meanwhile, with RunPod's GPU Cloud pay-as-you go model, you can get guaranteed GPU compute for as low as $0.2/hour. We hear Google Colab Pro mentioned a lot, and
Runpod Platform RunPod Now Offers Encrypted Volumes At RunPod, we're always looking to offer more value to our clients. One of the things we take seriously is security. To this end, we have implemented the ability to encrypt your persistent volumes. RunPod now offers encrypted volumes! This means that you have the option to choose your level
Runpod Platform Back Your Favorite Google Colab Notebooks with RunPod GPUs It looks like some of you are used to Google Colab's interface and would prefer to use that over the command line or JupyterLab's interface. Well, good news, you can connect Colab to use your own custom compute instead of the GPU that they assign to you! Unfortunately, Google won't
Runpod Platform What is the Difference Between Spot and On-Demand Instances? We've gotten a lot of questions around "spot" instances vs "on-demand" instances. While these terms are familiar to those who have used AWS EC2 instances in the past, it's clear that many people are not familiar with these terms. Let's do a quick summary of the pros and cons of
Runpod Platform Easily Backup and Restore Using RunPod Cloud Sync and Backblaze B2 Cloud Storage While RunPod offers persistent volume storage for your pods, we understand that many users would like to have a cloud backup in order to avoid idle storage charges or to be able to move their work to a new pod if the need arises. RunPod Cloud Sync offers several integrations
Runpod Platform How to Run a GPU-Accelerated Virtual Desktop Environment on RunPod There are a few use cases for running a GPU accelerated virtual desktop on RunPod. One common use case is for those who need to use demanding applications that require a lot of processing power, such as 3D rendering with Blender. In this blog post, we'll go over how to
Runpod Platform How to Configure Basic Terminal Access on RunPod The fastest way to get access to a custom pod is to use our basic terminal access feature. This works with any custom container that you want to run on RunPod, whether or not it has a built in SSH daemon or exposed ports. Do be aware that there are
Runpod Platform DIY Deep Learning Docker Container Are you tired of using someone else's container, only to find out that they have the wrong versions of your tools installed? Maybe you have just installed everything from scratch every time you wanted to start over and thought to yourself, "this is a waste of time"? I've personally gone
Runpod Platform How to Achieve True SSH in RunPod RunPod allows you to get a terminal access pretty easily, but it does not run a true SSH daemon by default. There are plenty of use cases, like needing to SCP or connecting an IDE that would warrant running a true SSH daemon inside the pod. We'll go through the
