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Powered by AMD Instinct™ GPUs on Vultr Kubernetes Engine

Run AMD AI Workbench on Vultr Kubernetes Engine

AMD AI Workbench is a low code platform for AI fine-tuning, inference, and MLOps on AMD Instinct™ GPUs. This VKE Application installs the full AMD Enterprise AI Reference Stack on bare metal MI300X, MI325X, or MI355X GPUs, ready in minutes.

How to Use Vultr's AMD AI Workbench VKE Application

Deploy the AMD Enterprise AI Reference Stack on Vultr Kubernetes Engine with one click, including AI Workbench and AMD Resource Manager.

How to Deploy a VS Code Workspace on Vultr Cloud GPU Using AMD AI Workbench

Deploy a GPU-optimized VS Code workspace on Vultr Cloud GPU using AMD AI Workbench, preloaded with PyTorch and ROCm.

How to Deploy an AMD Inference Microservice (AIM) on Vultr Cloud GPU Using AMD AI Workbench

Deploy AMD Inference Microservices from the AIM Catalog on Vultr Cloud GPU for production-ready, OpenAI-compatible LLM inference.

How to Deploy a JupyterLab Workspace on Vultr Cloud GPU Using AMD AI Workbench

Deploy a GPU-optimized JupyterLab workspace on Vultr Cloud GPU using AMD AI Workbench for interactive model development.

AIM Catalog: Production Inference, One Click

Deploy AMD Inference Microservices with OpenAI compatible endpoints. No manifests needed.

Fine-Tuning and Interactive Dev on ROCm

Fine-tune LLMs with ROCm and MLflow. Launch JupyterLab or VS Code workspaces with PyTorch and TensorFlow preloaded.

Multi-Tenant GPU Management

Kaiwo and AMD Resource Manager handle GPU quotas and scheduling, with built in Grafana observability.