Brendan McKeag

Discover how to boost your LLM inference performance and customize responses using SGLang, an innovative framework for structured LLM workflows.

Learn how to optimize your serverless GPU deployment on Runpod to balance latency, performance, and cost. From active and flex workers to Flashboot and.

Runpod Serverless now supports multi-GPU workers, enabling full-precision deployment of large models like Llama-3 70B. With optimized VLLM support.

Our new Serverless CPU offering lets you launch high-performance containers without GPUs, perfect for lighter workloads, dev tasks, and automation.

Runpod introduces Serverless CPU: high-performance VM containers with customizable CPU options, ideal for cost-effective and versatile workloads not.

Deploy any Hugging Face large language model using Runpod's configurable templates. Customize your endpoint with ease and launch scalable LLM deployments.

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.