Brendan McKeag

Configurable Endpoints for Deploying Large Language Models

Deploy any Hugging Face large language model using Runpod’s configurable templates. Customize your endpoint with ease and launch scalable LLM deployments in just a few clicks.
Read article
Product Updates

Generate Images with Stable Diffusion on Runpod

Learn how to set up a Runpod project, launch a Stable Diffusion endpoint, and generate images from text using a simple Python script and the Runpod CLI.
Read article
AI Workloads

Introducing the A40 GPUs: Revolutionize Machine Learning with Unmatched Efficiency

Discover how NVIDIA A40 GPUs on Runpod offer unmatched value for machine learning—high performance, low cost, and excellent availability for fine-tuning LLMs.
Read article
Hardware & Trends

New Navigational Changes To Runpod UI

The Runpod dashboard just got a streamlined upgrade. Here's a quick look at what’s moved, what’s merged, and how new UI changes will make managing your pods and templates easier.
Read article
Product Updates

Use alpha_value To Blast Through Context Limits in LLaMa-2 Models

Learn how to extend the context length of LLaMa-2 models beyond their defaults using alpha_value and NTK-aware RoPE scaling—all without sacrificing coherency.
Read article
AI Workloads

Save the Date October 11th, 2:00 PM EST: Fireside Chat With Runpod CEO Zhen Lu And Data Science Dojo CEO Raja Iqbal On GPU-Powered AI Transformation

Join Runpod CEO Zhen Lu and Data Science Dojo CEO Raja Iqbal on October 11 for a live fireside chat about GPU-powered AI transformation and the future of scalable machine learning infrastructure.
Read article
Hardware & Trends

Runpod Partners With RandomSeed to Provide Accessible, User-Friendly Stable Diffusion API Access

Runpod partners with RandomSeed to power easy-to-use API access for Stable Diffusion through AUTOMATIC1111, making generative art more accessible to developers.
Read article
Product Updates

Build what’s next.

The most cost-effective platform for building, training, and scaling machine learning models—ready when you are.

12:22