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.
Runpod has officially achieved SOC 2 Type II certification, validating that its enterprise-grade security controls not only meet strict design standards but also operate effectively over time. This milestone proves Runpod’s ongoing commitment to protec…
dstack is an open-source, GPU-native orchestrator that automates provisioning, scaling, and policies for ML teams—helping cut 3–7× GPU waste while simplifying dev, training, and inference. With Runpod integration, teams can spin up cost-efficient envir…
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.
As prompt complexity increases, large language models (LLMs) hit a “cognitive wall,” suffering up to 40% performance drops due to task interference and overload. By decomposing workflows into iterative refinement chains (e.g., the Self-Refine framework…
Deploy DeepCogito’s Cogito v2 models on Runpod to experience frontier-level reasoning at lower inference costs—choose from 70B to 671B parameter variants and leverage Runpod’s optimized templates and Instant Clusters for scalable, efficient AI deployme…
This follow-up to our “Hello World” tutorial walks through streaming output from a RunPod Serverless endpoint using WebSocket and base64 files.
Run MoonshotAI’s Kimi-K2-Instruct on RunPod Instant Clusters using H200 SXM GPUs and a 2TB shared network volume for seamless multi-node training. This guide shows how to deploy with PyTorch templates, optimize Docker environments, and accelerate LLM i…
Deploy Wan 2.2 on Runpod to unlock next-gen video generation with Mixture-of-Experts architecture, TI2V-5B support, and 83% more training data—run text-to-video and image-to-video models at scale using A100–H200 GPUs and customizable ComfyUI workflows….