Intro When scaling AI models like DeepSeek or Qwen on Amazon EKS, engineering teams obsess over GPU utilization while quietly bleeding money on storage bloat. Because standard EBS volumes force a 1:1 replica-to-disk ratio, scaling a single 70GB model to 20 pods doesn’t cost 70GB, it forces you to provision 1.4 Terabytes of redundant EBS …
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Intro The vLLM Production Stack is designed to run on any Kubernetes-based infrastructure. After covering AWS , Azure, Google Cloud and Nebius MK8s implementations, today we’re deploying vLLM production-stack on CoreWeave Kubernetes (CKS) with the same Terraform framework. CoreWeave is one of the hottest NeoCould built on the idea that GenAI workloads donโt need virtualization; they need direct access to …
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Intro The vLLM Production Stack is designed to work across any cloud provider with Kubernetes. After covering AWS EKS, Azure AKS, and Google Cloud GKE implementations, today we’re deploying vLLM production-stack on Nebius Managed Kubernetes (MK8s) with the same Terraform approach. Nebius AI Cloud is purpose-built for AI/ML workloads, offering cutting-edge GPU options from NVIDIA …
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Intro Welcome back to the terraform vLLM Production Stack series! After covering AWS EKS and Azure AKS, today we’re deploying vLLM production-stack on Google Cloud GKE with the same Terraform approach. This guide shows you how to deploy a production-ready LLM serving environment on Google Cloud, with GCP-specific optimizations including Dataplane V2 (Cilium eBPF), VPC-native …
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Intro The vLLM Production Stack is designed to work across any cloud provider with Kubernetes. After covering AWS EKS, today we’re deploying vLLM production-stack on Azure AKS with the same Terraform approach. This guide shows you how to deploy the same production-ready LLM serving environment on Azure, with azure-specific optimizations. We’ll cover network architecture, certificate …
Read more “vLLM Production Stack on Azure AKS with Terraform๐ง๐ผโ๐”