Optimize Mistral-7B deployment with Runpod by using quantized GGUF models and vLLM workers—compare GPU performance across pods and serverless endpoints to reduce costs, accelerate inference, and streamline scalable LLM serving.
Learn how to train, deploy, and scale AI/ML models using Runpod Serverless. This guide covers real-world examples, deployment best practices, and how serverless is unlocking new possibilities like real-time video generation.
Learn how to automate receipt and invoice processing by building an OCR system using Runpod Serverless and pre-trained Hugging Face models. This guide walks through deployment, image conversion, API inference, and structured PDF generation.
As Banana.dev sunsets, Runpod welcomes their community with open arms—offering seamless Docker-based migration, full support, and a reliable home for serverless projects.
Reflections on generating conversational German audio with LLMs and Bark, highlighting common pitfalls in parsing, generation reliability, and the importance of fault-tolerant workflows.
This week’s Runpod RoundUp highlights Meta’s Audiocraft for AI-generated music and sound effects, new Chinese LLMs from Alibaba, and Salesforce’s DialogStudio dataset hub for building conversational AI.
Runpod now supports Panchovix’s 16k-token context models, allowing for much deeper context retention in long-form generation. These models require higher VRAM and may trade off some performance, but are ideal for extended sessions like roleplay or comp…
Pygmalion 7b and Metharme 7b significantly improve on the creative writing capabilities of Pygmalion 6b. This post walks through model comparisons and how to deploy them on Runpod with the Oobabooga template.
A performance comparison between Nvidia’s Ada and Ampere architectures, with benchmark results across Stable Diffusion and text generation workloads.
Learn how to use Runpod’s new Savings Plans to save up to 20% on Secure Cloud pods with monthly or quarterly commitments—ideal for users with high GPU workloads.