{"input_url":"https://aws.amazon.com/blogs/machine-learning/deploying-kimi-k3-on-aws/","gnews_decode":"https://aws.amazon.com/blogs/machine-learning/deploying-kimi-k3-on-aws/","http_status":200,"final_url":"https://aws.amazon.com/blogs/machine-learning/deploying-kimi-k3-on-amazon-sagemaker-hyperpod-and-amazon-eks/","html_length":1285366,"trafilatura_result":"ok","text_length":10573,"text_preview":"Deploying Kimi K3 on Amazon SageMaker HyperPod and Amazon EKS\nOpen weight models have become powerful enough to handle complex tasks such as multi-step agentic workflows, advanced reasoning, and long-horizon coding. However, as these models grow in capability, they also grow in size and hosting mult","verdict":"OK"}