How to Choose a Cloud GPU for Deep Learning (Ultimate Guide)
Choosing a cloud GPU isn't just about power, it's about efficiency, memory, compatibility, and budget. This guide helps you select the right GPU for your.
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RunPod Blog
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How to Code Stable Diffusion Directly in Python on Runpod
Skip the front ends, learn how to use Jupyter Notebook on Runpod to run Stable Diffusion directly in Python. Great for devs who want full control.
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How to Run Basaran on Runpod: An OpenAI API Alternative
Learn how to deploy Basaran, an open-source text generation API, on Runpod using a prebuilt template. Customize the model via environment variables and.
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How to Run the FLUX Image Generator with ComfyUI on Runpod
Step-by-step guide for deploying FLUX with ComfyUI on Runpod. Perfect for creators looking to generate high-quality AI images with ease.
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How to Use Runpod’s Fast Stable Diffusion Template
Learn how to deploy Stable Diffusion quickly on Runpod using the fast template, including GPU selection, configuration options, and inference steps. This.
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How to Work with GGUF Quantizations in KoboldCPP
GGUF quantizations make large language models faster and more efficient. This guide walks you through using KoboldCPP to load, run, and manage quantized.
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Introducing Better Forge: Spin Up Stable Diffusion Pods Faster
Better Forge is a new Runpod template that lets you launch Stable Diffusion pods in less time and with less hassle. Here's how it improves your workflow.
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Introducing Serverless CPU: High-Performance VMs Without GPUs
Our new Serverless CPU offering lets you launch high-performance containers without GPUs, perfect for lighter workloads, dev tasks, and automation.
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Llama 4 Scout and Maverick Are Here, How Do They Shape Up?
Meta’s Llama 4 models, Scout and Maverick, are the next evolution in open LLMs. This post explores their strengths, performance, and deployment on Runpod.
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Runpod Serverless Scaling: Optimize Performance and Cost
Learn how to optimize your serverless GPU deployment on Runpod to balance latency, performance, and cost. From active and flex workers to Flashboot and.
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Mistral Small 3 Avoids Synthetic Data, Why That Matters
Mistral Small 3 skips synthetic data entirely and still delivers strong performance. Here's why that decision matters, and what it tells us about future.
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Mochi 1: New State of the Art in Open-Source Text-to-Video
Mochi 1 pushes the boundaries of open-source video generation. Learn what makes it special, what’s new in v1, and how to deploy it on Runpod.
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Open Source Video & LLM Roundup: The Best of What’s New
Open-source AI is booming, and 2024 delivered an incredible wave of new LLMs and generative video models. Here's a quick roundup of the most exciting.
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Partnering with Defined AI to Bridge the Data Wealth Gap
Runpod and Defined.ai launch a pilot program to provide startups with access to high-quality training data and compute, enabling sector-specific.
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Prompt Scheduling with Disco Diffusion on Runpod
This guide introduces prompt scheduling in Disco Diffusion, a technique that lets you shift prompts dynamically throughout an image generation run. Learn.
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Pygmalion-7b from PygmalionAI has been released, and it's amazing
Pygmalion 7b and Metharme 7b significantly improve on the creative writing capabilities of Pygmalion 6b. This post walks through model comparisons and how.
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Run GGUF Quantized Models Easily with KoboldCPP on Runpod
Lower VRAM usage and improve inference speed using GGUF quantized models in KoboldCPP with just a few environment variables.
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Run Larger LLMs on Runpod Serverless: Llama-3 70B
Runpod Serverless now supports multi-GPU workers, enabling full-precision deployment of large models like Llama-3 70B. With optimized VLLM support.
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Run Llama 3.1 405B with Ollama on Runpod: Step-by-Step Deployment
Learn how to deploy Meta's powerful open-source Llama 3.1 405B model using Ollama on Runpod. With benchmark-crushing performance, this guide walks you.
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Run SAM 2 on a Cloud GPU with Runpod (Step-by-Step Guide)
Learn how to deploy Meta's Segment Anything Model 2 (SAM 2) on a Runpod GPU using Jupyter Lab. This guide walks through installing dependencies.
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