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.

Want to run open-source AI models from your phone? This guide shows how to launch a pod on Runpod and connect to it from your iPhone—no laptop required.

Use Cursor as your AI-native IDE? Here’s how to connect it directly to LLM pods on Runpod, enabling real-time GPU-powered development with minimal setup.