Runpod Serverless now supports multi-GPU workers, enabling full-precision deployment of large models like Llama-3 70B. With optimized VLLM support, flashboot, and network volumes, it's never been easier to run massive LLMs at scale.

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

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.

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.

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

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.

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.