How to Run MoonshotAI’s Kimi-K2-Instruct on RunPod Instant Cluster | Runpod Blog

Run MoonshotAI’s Kimi-K2-Instruct on RunPod Instant Clusters using H200 SXM GPUs and a 2TB shared network volume for seamless multi-node training. This guide shows how to deploy with PyTorch templates, optimize Docker environments, and accelerate LLM inference with scalable, low-latency infrastructure.

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