Runpod Blog.

Join us as we celebrate our fielding of our 10 billionth serverless request.

Runpod surpasses $120M ARR, now serving over 500,000 developers worldwide. Founder Zhen reflects on the journey from basement GPU rigs to AI-first cloud infrastructure powering startups, research labs, and Fortune 500 teams.

Deploy Serverless endpoints directly from GitHub and roll back instantly if needed. Runpod’s improved GitHub integration lets you revert to previous builds without rebuilding Docker images, enabling faster, safer, and more confident deployments.

In early December 2025, Mistral AI released Mistral Large 3 and Devstral 2, two open models under the Apache 2.0 license, with Mistral Large 3 targeting frontier-scale reasoning and long-context workloads and Devstral 2 focusing on developer use cases like coding and agent workflows. At the same time, Nvidia expanded its open source footprint with the release of the Nemotron 3 model family and the acquisition of SchedMD, reinforcing a broader shift toward open models and open infrastructure that teams can run, benchmark, and scale on their own GPU platforms.

Runpod has significantly improved the performance and reliability of its automated GitHub integration by fixing a bottleneck in the container image upload pipeline that caused slow or timed-out builds. By rewriting key components of the registry image uploader and optimizing layer transfers, GitHub-triggered container builds now complete faster, more consistently, and with fewer deployment failures.

Learn how to train, deploy, and scale AI/ML models using Runpod Serverless. This guide covers real-world examples, deployment best practices, and how serverless is unlocking new possibilities like real-time video generation.

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.