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Fully managed AI infrastructure for model deployment
Train AI models across multiple cloud infrastructures; Deploy models at scale with serverless architecture; Monitor system metrics in real-time for performance; Automate machine learning workflows with CI/CD; Optimize resource usage and costs during model training.
Provisions over 1000 GPUs to more than 200 ML researchers; Notable partnerships with institutions like KAIST and Seoul National University; Recognized for efficient resource utilization in AI projects.
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