Intro Conference demos always run out of clock, you show one or two outputs and the rest stay on the cutting-room floor. That’s what happened at my last Conf42 talk, How vLLM-Omni Unifies Multimodal Inference, so to make up for it I promised to share the whole code and demo videos in a proper blog. …
Read more “vLLM-Omni on Nebius H100: Serving Z-Image, Wan2.2, Qwen3-TTS & NVIDIA Cosmos 3”
Intro In the last CoreWeave post we ran vLLM on a single GPU box with mid-sized models (70-125B). DeepSeek-V3.2, on the other hand, doesn’t fit on one box (685B parameters, ~643GB even compressed). But how do you shard a whale this big across nodes and still serve it fast, at low latency, without it falling …
Read more “vLLM DeepSeek🐋 Multinode Deployment on CoreWeave (KubeRay + Terraform)”
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 don’t need virtualization; they need direct access to …
Read more “vLLM Production Stack on CoreWeave CKS with Terraform🧑🏼🚀”
Intro No invite? No quota? No problem. If you’ve tried to create an account on CoreWeave, you already know the drill: there’s No open self-registration, No free tier, and No “Sign up with GitHub”—without an invite. That’s why I decided to write my first CoreWeave blog post. This post shows how to get started with …
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 …
Read more “vLLM Production Stack on Nebius K8s with Terraform🧑🏼🚀”