RunPod is proud to sponsor Season 2 of Project Odyssey 2024 from CivitAI, the world's largest AI filmmaking competition. We've written in the past about prominent open source packages like LTX, Mochi, and Hunyuan Video – here's your chance to show off your skills and

You can now train your own LoRAs for Flux, Hunyuan Video, and LTX Video with tdrussells' diffusion-pipe, a training script for video diffusion models. Let's run through an example of how this is done with Hunyuan Video. Start Up a Pod First, start up a pod with

The need to upscale, reduce operational overhead, and bring cost efficiency allows serverless computing to revolutionize AI/ML workloads. Scaling often results in expensive cost management and hardware maintenance that becomes unbearable with traditional infrastructure. RunPod dynamically allocates resources in these instances to work seamlessly with modern AI workflows. This

This entry has been contributed by Jean-Michael Desrosiers, Head of Enterprise at RunPod. I take shots—sometimes far too many, and in wildly different directions. I always have, and it’s been a part of my DNA for as long as I can remember. Picture an overly enthusiastic explorer darting

RunPod is pleased to announce its latest feature aimed at making the lives of developers easier: GitHub integration! Previously, Docker images were the primary method of deploying endpoints, and while this is still functional and useful, requires a number of intermediary steps. Now, with GitHub integration you can deploy directly

With new packages like Mochi and Hunyuan Video now out, there have been some other video packages that have come out that have also slipped under the radar that definitely deserve some more love. LTXVideo by Lightricks appears to be slept on despite coming out with an out of the

Learn how to build an Optical Character Recognition (OCR) system using RunPod Serverless and pre-trained models from Hugging Face to automate the processing of receipts and invoices. Introduction Processing receipts and invoices manually is both time-consuming and prone to errors. Optical Character Recognition (OCR) systems can automate this task by

RunPod is pleased to share the story of one of our valued clients, Autonomous. We at RunPod believe very strongly in the power of free speech and privacy - our pods are run in secure environments with optional encryption and we stand by our promise that we do not inspect

RunPod is pleased to announce its launch of our Global Networking feature, which allows for cross-data center communication between pods. When a pod with the feature is deployed, your pods can communicate with each other over a virtual internal network facilitated by RunPod. This means that you can have pods

Machine learning, AI, and data science workloads rely on powerful GPUs to run effectively, so organizations are deciding to either invest in on-prem GPU clusters or use cloud-based GPU solutions like RunPod. This article will show considerations of infrastructure requirements and compare the cost and performance to help you choose

We've released an expansion to our handling of API keys on RunPod. Previously, you were able to create API keys with read or read and write permissions, but now you can scope keys by endpoint and have more fine-grained control over what your keys allow access to. Here&

RunPod uses a proxy system to ensure that you have easy accessibility to your pods without needing to make any configuration changes. This proxy utilizes Cloudflare for ease of both implementation and access, which comes with several benefits and drawbacks. Let's go into a little explainer about specifically

Introduction Quantization is a key technique in machine learning that is used to reduce the model size and speed up inference, especially when deploying models on hardware with resource constraints. Nevertheless, achieving a good quantization setup means balancing the model performance against the computational efficiency required by the deployment environment.

In an extremely generous contribution to the RunPod community, our friends at Code in a Jiffy recently shared their journey of building a complete coffee shop application enhanced with artificial intelligence. This comprehensive project showcases how AI can transform everyday commerce applications into intelligent, interactive experiences. The video is 12

Classifier-Free Guidance (CFG) has emerged as a powerful technique for improving the quality and controllability of language model outputs. While initially developed for image generation models, CFG has found successful applications in text generation. Let's dive deep into how this technique works and why it's becoming

Text-to-video generation is a space where open source has lagged behind for some time, due to the difficulty and cost involved in training and evaluating video as opposed to text and images. Offerings such as Sora, while impressive, beg for open-source alternatives where you can create videos of any kind

On October 22, Stability.AI released its latest version of Stable Diffusion, SD3.5 There are currently two versions out (Large and Large Turbo), with the former geared towards quality while the latter favoring efficiency. Next week, Medium will release, aimed at smaller GPU specs. You can quickly and easily

Earlier this month, NVidia released Llama 3.1 Nemotron Instruct, a 70b model that has taken some notably high spots on various leaderboards, seeming to punch far above its weight. As of October 14th, it is not only beating high-end closed source models that far outweigh it like Claude 3

While there are many useful front ends for prompting Stable Diffusion, in some ways it can be easier to simply it directly within Jupyter Notebook, which comes pre-installed within many RunPod templates. Once you spin up a pod you get instant access to Jupyter as well, allowing you to directly

Picture this: You've got an AI language model - let's call it Bahama-3-70b - who can write sonnets, explain quantum physics, and even crack jokes. But ask it to count the r's in "strawberry," and suddenly it's like a toddler

As discussed previously, a human interacting with a chatbot is one of the prime use cases for RunPod serverless functions. Because the vast majority of the elapsed time is on the human's end, where they are reading, procesisng, and responding, the GPU sits idle for the vast majority

Imagine you are a studio manager tasked with serving up a creative writing assistant to your users, and are directed to select only a few best candidates to run on endpoints to keep the project maintainable and within scope. As of the writing of this article, there are more than

As a RunPod user, you're already leveraging the power of GPU cloud computing for your machine learning projects. But are you getting the most out of your vLLM deployments? Enter GuideLLM, a powerful tool that can help you evaluate and optimize your Large Language Model (LLM) deployments for