Intro A few months back I deployed the vLLM Production Stack on Nebius Managed K8s with Terraform. This time itโs NVIDIA Dynamo on the same foundation, one terraform apply from an empty cloud project to a live OpenAI-compatible endpoint. Dynamo is a very different beast from vllm-production-stack: a Helm chart installs an operator, and each …
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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 DeepSeek๐ 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 donโt need virtualization; they need direct access to …
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Intro No invite? No quota? No problem. If youโve tried to create an account on CoreWeave, you already know the drill: thereโs No open self-registration, No free tier, and No โSign up with GitHubโโwithout an invite. That’s why I decided to write my first CoreWeave blog post. This post shows how to get started with …