qdrant-landing/content/blog/hybrid-cloud-vultr.md

---
draft: false
title: "Vultr and Qdrant Hybrid Cloud Support Next-Gen AI Projects"
short_description: "Providing a flexible platform for high-performance vector search in next-gen AI workloads." 
description: "Providing a flexible platform for high-performance vector search in next-gen AI workloads."
preview_image: /blog/hybrid-cloud-vultr/hybrid-cloud-vultr.png
date: 2024-04-10T00:08:00Z
author: Qdrant
featured: false
weight: 1000
tags:
  - Qdrant
  - Vector Database
---

We’re excited to share that Qdrant and [Vultr](https://www.vultr.com/) are partnering to provide seamless scalability and performance for vector search workloads. With Vultr's global footprint and customizable platform, deploying vector search workloads becomes incredibly flexible. Qdrant's new [Qdrant Hybrid Cloud](/hybrid-cloud/) offering and its Kubernetes-native design, coupled with Vultr's straightforward virtual machine provisioning, allows for simple setup when prototyping and building next-gen AI apps.

#### Adapting to Diverse AI Development Needs with Customization and Deployment Flexibility

In the fast-paced world of AI and ML, businesses are eagerly integrating AI and generative AI to enhance their products with new features like AI assistants, develop new innovative solutions, and streamline internal workflows with AI-driven processes. Given the diverse needs of these applications, it's clear that a one-size-fits-all approach doesn't apply to AI development. This variability in requirements underscores the need for adaptable and customizable development environments.

Recognizing this, Qdrant and Vultr have teamed up to offer developers unprecedented flexibility and control. The collaboration enables the deployment of a fully managed vector database on Vultr’s adaptable platform, catering to the specific needs of diverse AI projects. This unique setup offers developers the ideal Vultr environment for their vector search workloads. It ensures seamless adaptability and data privacy with all data residing in their environment. For the first time, Qdrant Hybrid Cloud allows for fully managing a vector database on Vultr, promoting rapid development cycles without the hassle of modifying existing setups and ensuring that data remains secure within the organization. Moreover, this partnership empowers developers with centralized management over their vector database clusters via Qdrant’s control plane, enabling precise size adjustments based on workload demands. This joint setup marks a significant step in providing the AI and ML field with flexible, secure, and efficient application development tools.

> *"Our collaboration with Qdrant empowers developers to unlock the potential of vector search applications, such as RAG, by deploying Qdrant Hybrid Cloud with its high-performance search capabilities directly on Vultr's global, automated cloud infrastructure. This partnership creates a highly scalable and customizable platform, uniquely designed for deploying and managing AI workloads with unparalleled efficiency."* Kevin Cochrane, Vultr CMO.

#### The Benefits of Deploying Qdrant Hybrid Cloud on Vultr

Together, Qdrant Hybrid Cloud and Vultr offer enhanced AI and ML development with streamlined benefits:

- **Simple and Flexible Deployment:** Deploy Qdrant Hybrid Cloud on Vultr in a few minutes with a simple “one-click” installation by adding your Vutlr environment as a Hybrid Cloud Environment to Qdrant.

- **Scalability and Customizability**: Qdrant’s efficient data handling and Vultr’s scalable infrastructure means projects can be adjusted dynamically to workload demands, optimizing costs without compromising performance or capabilities.

- **Unified AI Stack Management:** Seamlessly manage the entire lifecycle of AI applications, from vector search with Qdrant Hybrid Cloud to deployment and scaling with the Vultr platform and its AI and ML solutions, all within a single, integrated environment. This setup simplifies workflows, reduces complexity, accelerates development cycles, and simplifies the integration with other elements of the AI stack like model development, finetuning, or inference and training.

- **Global Reach, Local Execution**: With Vultr's worldwide infrastructure and Qdrant's fast vector search, deploy AI solutions globally while ensuring low latency and compliance with local data regulations, enhancing user satisfaction.

#### Getting Started with Qdrant Hybrid Cloud and Vultr

We've compiled an in-depth guide for leveraging Qdrant Hybrid Cloud on Vultr to kick off your journey into building cutting-edge AI solutions. For further insights into the deployment process, refer to our comprehensive documentation.

![hybrid-cloud-vultr-tutorial](/blog/hybrid-cloud-vultr/hybrid-cloud-vultr-tutorial.png)

#### Tutorial: Crafting a Personalized AI Assistant with RAG

This tutorial outlines creating a personalized AI assistant using Qdrant Hybrid Cloud on Vultr, incorporating advanced vector search to power dynamic, interactive experiences. We will develop a RAG pipeline powered by DSPy and detail how to maintain data privacy within your Vultr environment.

[Try the Tutorial](/documentation/tutorials/rag-chatbot-vultr-dspy-ollama/)

#### Documentation: Effortless Deployment with Qdrant

Our Kubernetes-native framework simplifies the deployment of Qdrant Hybrid Cloud on Vultr, enabling you to get started in just a few straightforward steps. Dive into our documentation to learn more.

[Read Hybrid Cloud Documentation](/documentation/hybrid-cloud/)

#### Ready to Get Started?

Create a [Qdrant Cloud account](https://cloud.qdrant.io/login) and deploy your first **Qdrant Hybrid Cloud** cluster in a few minutes. You can always learn more in the [official release blog](/blog/hybrid-cloud/).