Eliot Cowley

Learn how to deploy OpenAI’s Faster Whisper on Runpod Serverless to transcribe and translate audio up to four times faster and at a fraction of the cost of Whisper, using Python for efficient, scalable speech-to-text automation.

Learn how to fine-tune Large Language Models (LLMs) using Runpod and Axolotl to deploy GPU pods, train a Llama 3 model with LoRA, and test customized models efficiently without starting from scratch.

Learn how to deploy ComfyUI as a serverless API endpoint on Runpod to run AI image generation workflows at scale. The tutorial covers deploying from Runpod Hub templates or Docker images, integrating with Python for synchronous API calls, and customizing models such as FLUX.1-dev or Stable Diffusion 3. Runpod’s pay-as-you-go Serverless platform provides a simple, cost-efficient way to build, test, and scale ComfyUI for generative AI applications.

Learn how to quickly create, test, and deploy Runpod Serverless workers using GitHub templates—accelerating AI workloads with pay-per-use efficiency and zero infrastructure hassle.

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.