LLM on EKS: Scaling with Ray & Karpenter
📰 Medium · LLM
Learn to scale Large Language Models on Elastic Kubernetes Service using Ray and Karpenter for autoscaling
Action Steps
- Deploy a Large Language Model on Elastic Kubernetes Service
- Configure Ray for distributed computing
- Integrate Karpenter for autoscaling
- Test the scalability of the LLM deployment
- Monitor and optimize the performance of the LLM
Who Needs to Know This
DevOps and MLOps teams can benefit from this article to improve the scalability of their LLM deployments
Key Insight
💡 Ray and Karpenter can be used to autoscale Large Language Models on Elastic Kubernetes Service
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🚀 Scale LLMs on EKS with Ray & Karpenter! 🚀
Key Takeaways
Learn to scale Large Language Models on Elastic Kubernetes Service using Ray and Karpenter for autoscaling
Full Article
Serve Large Language Model on Elastic Kubernetes Service using Virtual Large Language Model with Ray and Karpenter for autoscaling. Continue reading on Medium »
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