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Our team’s insights on building better and scaling smarter.
GPU shortages are reshaping AI infrastructure. Learn what's driving the H100 and B200 supply crunch, and how AI builders can adapt their compute strategy.
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Our esteemed Discord community helper notrius built a single container that bundles dataset prep, model management, three training backends, two inference UIs, and a full control plane, so you can stop fighting dependencies and start creating. No more spinning up one pod for Comfy and another for training and kicking files back and forth through the CLI; you can run everything in a single pod now, using a single GPU,
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We've just released a new tool to get you help faster and streamline your account management.
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OpenAI just launched one of the most exciting ML competitions in years, and Runpod is the official compute partner. Here's everything you need to know to get started.
Runpod's State of AI report pulls from real production data across 500,000+ developers to reveal what's actually running, not what people say they're using. The findings contradict much of the public narrative: Qwen has overtaken Llama, ComfyUI owns 70%+ of image workflows, and video upscaling outpaces generation 2:1.
Learn how to reduce LLM inference costs and latency using quantization, vLLM, SGLang, and speculative decoding without upgrading your hardware.
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We've just released a way to run Serverless code without needing to build a Docker image: check it out.
