Vultr is making enterprise AI software components from AMD available through VKE Marketplace, giving organizations a faster path to deploying AI applications at production scale.
Built by AMD Silo AI and optimized for AMD Instinct™ GPUs, the offering runs on Vultr Cloud GPU infrastructure and Vultr Kubernetes Engine (VKE). Available components include AMD AI Workbench, AMD Inference Microservices (AIMs), and AMD Resource Manager.
Together, these tools provide a streamlined way to build, deploy, and manage AI workloads without the complexity of manually assembling and integrating multiple software components.
Simplifying the path to production AI
As organizations move beyond AI experimentation, they face growing challenges around deployment, scalability, governance, and infrastructure management. Building production-ready AI environments often requires teams to integrate model serving frameworks, orchestration platforms, monitoring tools, and GPU management solutions from multiple vendors.
The AMD Enterprise AI software stack helps address these challenges through a modular, open-architecture design for the full AI lifecycle.
The solution eliminates many of the operational tasks typically required to get started. Cluster provisioning, networking, public IP assignment, and SSL certificate configuration are handled automatically, allowing teams to move directly into development and deployment.
“Vultr and AMD are helping enterprises operationalize AI inference with a standardized, open microservices architecture optimized for AMD Instinct GPUs,” said Kevin Cochrane, Chief Marketing Officer at Vultr. “Enterprise teams can deploy secure, scalable inference services globally in minutes while maintaining flexibility across existing infrastructure.”
What’s included
AMD AI Workbench
AMD AI Workbench provides a centralized environment for AI development with GPU-enabled workspaces, optimized AI models, and tools for training, fine-tuning, and deployment. It also includes lifecycle management capabilities for AI workloads running on Kubernetes.
AMD Inference Microservices (AIMs)
AIMs are production-ready inference services that support standardized model deployment through OpenAI-compatible APIs. They offer automatic hardware optimization, scalable deployment options, and support for a broad ecosystem of open models.
AMD Resource Manager
AMD Resource Manager delivers enterprise-grade governance and GPU orchestration capabilities, including quota management, role-based access control, workload scheduling, and real-time monitoring to help organizations maximize GPU utilization.
Built for enterprise AI
The AMD Enterprise AI software stack is designed for organizations that need flexibility, scalability, and control over their AI infrastructure. Whether teams are evaluating AI initiatives, deploying customer-facing applications, or scaling inference workloads globally, the combination of AMD software and Vultr infrastructure provides a simplified path from development to production.
Available now
AMD AI Workbench, including access to AMD Inference Microservices and AMD Resource Manager, is available today through VKE Marketplace.
Learn more and get started with AMD AI Workbench on Vultr.
By combining AMD’s enterprise AI software with Vultr’s global cloud GPU infrastructure, organizations can deploy and scale AI services more quickly while maintaining the flexibility to build on open technologies and standards.