Runpod Blog.

The Runpod Hub is here—a creator-powered marketplace for open source AI. Browse, fork, and deploy prebuilt repos for LLMs, image models, video generation, and more. Instant infrastructure, zero setup.

From brainstorming essays to auto-tagging lecture notes, students are using AI in surprising and creative ways. This post dives into the real habits, hacks, and ethical questions shaping AI’s role in modern education.

vLLM is fast—but SGLang might be faster for multi-turn conversations. This post breaks down the trade-offs between SGLang and vLLM, focusing on KV cache reuse, conversational speed, and real-world use cases.

Big labs may dominate the headlines, but the future of AI is being shaped by indie devs—fast-moving builders shipping small, weird, brilliant things. Here’s why they matter more than ever.

Learn how to deploy the VACE video-to-text model on Runpod, including setup, requirements, and usage tips for fast, scalable inference.

From Mistral to DeepSeek, open-source AI is closing the gap with closed models—and, in some cases, outperforming them. Here’s why builders are betting on transparency, flexibility, and community-driven innovation.

DeepSeek R1 just got a stealthy update—and it’s performing better than ever. This post breaks down what changed in the 0528 release, how it impacts benchmarks, and why this model remains a top-tier open-source contender.