IT infrastructure is no longer just the backbone of enterprise operations; it's a key driver of innovation, scalability, and resilience. With the rise of AI workloads, increasing demands for data sovereignty, and the need to control costs, relying on a single cloud provider doesn’t cut it anymore.
That’s why many IT architects are turning to hybrid and multicloud strategies. By distributing workloads across multiple infrastructure providers, businesses can reduce the risks of vendor lock-in, outages, and shifting terms of service while choosing the best solutions for each layer of their stack.
Composable by design: Vultr as part of your hybrid cloud strategy
Vultr was built for composability, enabling developers and platform teams to build modular, scalable, and interoperable infrastructure. While Vultr offers a complete portfolio of cloud solutions, including compute, storage, networking, and GPUs, it’s designed to fit seamlessly into any multicloud or hybrid environment.
Whether running legacy systems on-prem, using proprietary solutions elsewhere, or distributing workloads across regions and clouds, Vultr allows you to run the right workload in the right place and save 30–50% on cloud costs where Vultr is the best fit.
Built for interoperability and orchestration
With an API-first architecture, support for open-source technologies, and compatibility with tools like Terraform, Ansible, and Crossplane, Vultr easily integrates into a broader infrastructure strategy.
Vultr Kubernetes Engine (VKE) is a CNCF-certified Kubernetes service with a free control plane built to support hybrid and multicloud workloads. It’s compatible with the Cluster API, allowing you to manage clusters across providers using the same YAML file-based workflows you already use elsewhere.
High-performance AI in hybrid environments
Vultr’s Cloud GPU offerings bring powerful AI training, inference and agentic AI capabilities to hybrid and multicloud deployments. VKE supports Crossplane for streamlined platform engineering, making orchestrating complex AI/ML pipelines easier and easing the process of deploying agentic AI architectures across clouds and edge environments.
Private networking with Vultr Direct Connect
Need reliable, low-latency connectivity between Vultr and your on-prem or other cloud environments? Vultr Direct Connect, powered by Console Connect and Megaport, enables high-speed private networking for hybrid and multicloud architectures without the high price tag of traditional providers.
Real-world use cases
AI in regulated industries
Healthcare, finance, and government organizations face strict data residency and compliance requirements. Many are adopting localized AI strategies to meet these needs, training models where the data resides, fine-tuning in-region, and running inference globally.
Vultr Cloud Alliance partner Lablup supports AI in regulated industries by fine-tuning models on sensitive data with Backend.AI on Vultr Cloud GPUs in the EU and APAC, then deploying inference globally, with high efficiency, compliance, and no DevOps overhead.
Connected hybrid data environments
AI workloads often depend on data scattered across legacy systems, IoT sensors, and multiple clouds. By linking these environments into a unified pipeline, enterprises can unlock better performance and insights.
Companies can integrate IoT into hybrid cloud environments to enable efficient image processing and deliver scalable, real-time solutions for diverse industry applications backed by Vultr Cloud GPU.
Hybrid agentic AI
Agentic AI often needs access to sensitive internal data and scalable cloud inference engines.
Vultr joined forces with NetApp to deliver hybrid agentic AI for customer service. Global financial services firms can use AI agents to analyze documents, images, and videos to resolve customer queries faster, reduce manual effort, and ensure compliance across regions in real time.
Global AI serving
Enterprises deploying AI at scale often adopt a multi-tiered strategy: central model training, regional fine-tuning, and global inference delivery. This approach reduces latency, enhances personalization, and ensures data compliance.
In e-commerce, platforms can fine-tune product models on Vultr Cloud GPUs using Vultr Cloud Alliance partner Avian.io’s ultra‑fast, production‑grade inference. They then can serve real-time product tagging and catalog updates globally across multicloud environments with no rate limits or infrastructure overhead.
Simplifying hybrid and multicloud complexity
Managing hybrid or multicloud architectures doesn’t have to be painful. Vultr provides an intuitive, cost-effective platform that makes deploying scalable, interoperable infrastructure for AI and beyond easier.
Curious how Vultr can support your hybrid or multicloud strategy? Explore the platform.