Intern-S2 pushes a 397B multimodal model toward scientific agents
A 397B-parameter model is a serious bet that scientific AI needs more than bigger pretraining runs. InternLM’s Intern-S2 combines multimodal input with reinforcement learning and inference-time compute, targeting long-horizon agent work rather than one-shot answers. The practical catch is equally clear: it can already be served through Transformers, vLLM, and SGLang, but operating a model this large remains a heavyweight engineering decision.