Runpod Blog.

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.

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.

An AWS us-east-1 outage degraded Runpod’s control plane, but Pods kept running with no data loss, and within 72 hours we added multi-region failover, cached Serverless configs, corrected charges, and started a partitioned multi-region migration on Runpod’s provider network.

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 protecting customer data and maintaining trusted, compliant AI infrastructure for enterprises and developers alike.