The Runpod Blog

Renting a model means your millionth request costs what your first one did. Owning the weights makes cost per request something your engineers can lower.

How to get up and running with Kimi K3 without the overhead of running an entire cluster.

With more than half of CLI usage driven by agents, there's strong demand for Runpod's agent-ready infrastructure.

Runpod Serverless now scores fallback GPU types so workers can land on compatible capacity when your first choice is contended.

Optimize multi-node GPU cluster performance and cost-efficiency by aligning parallelism strategies, network fabric selection, and performance benchmarking.

Qwen 3.8 is punching well above its weight for its relatively small size compared to big foundational models. Is there a such thing as a free lunch?

Our pricing philosophy in one line: we move prices to keep GPUs available.