Deploy Vultr's AMD AI Workbench VKE Application on a Vultr Kubernetes Engine cluster with AMD Instinct™ MI3xx GPUs. Add a GPU node pool, install the platform, and access the AMD AI Workbench and Resource Manager UIs.
Deploy AMD Inference Microservices from the AIM Catalog on Vultr Cloud GPU using AMD AI Workbench, create API keys, and connect to OpenAI-compatible inference endpoints.
Deploy a GPU-optimized VS Code workspace on Vultr Cloud GPU using AMD AI Workbench. Set up a project, assign secrets, and launch a ROCm-accelerated development environment.
Deploy a GPU-optimized JupyterLab workspace on Vultr Cloud GPU using AMD AI Workbench. Set up a project, assign secrets, and launch a ROCm-accelerated development environment.
Deploy the AMD Enterprise AI Reference Stack on Vultr Cloud GPU using the Bloom CLI installer, configure Let's Encrypt SSL, and access the AMD AI Workbench and Resource Manager.
Learn how to efficiently set up and run distributed training workloads on AMD Instinct™ MI325X GPU clusters using dstack's streamlined orchestration capabilities.
Learn how to deploy the powerful Deepseek V3 Large Language Model using SGLang. This step-by-step guide covers installation, configuration, and optimization techniques.
Learn how to deploy Deepseek R1 Reasoning LLM using SGLang. This step-by-step guide covers installation, setup, and implementation for advanced language processing.