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Vultr Open Cluster Manager: Delivers Rapid AI Workload Deployment
The Vultr Open Cluster Manager is now on the Vultr Marketplace, offering one-click deployment to accelerate Vultr Cloud GPU clusters.
Key Highlights
- The Vultr Open Cluster Manager simplifies the deployment of AI workloads on Vultr Cloud GPU clusters.
- It leverages open-source technologies like Terraform, Ansible, and Slurm to automate cluster setup and management.
- Vultr Cloud GPU, powered by AMD and NVIDIA, provides powerful, next-generation infrastructure for AI and high-performance computing.
- This platform offers predictable pricing, ease of use, and eliminates the hassle of driver setups and licensing.
- The GPU-as-a-service market is experiencing explosive growth, with Vultr positioned to compete with both hyperscalers and specialized neo-cloud providers.
The News
Vultr Open Cluster Manager, designed to accelerate Vultr Cloud GPU cluster deployment, is now available as a one-click-deploy app on the Vultr Marketplace. For more information, read the Vultr blog.
Analyst Take
As AI workloads transition from pilot projects to production workloads, the need to streamline this process is becoming more critical. Against this backdrop, the Vultr Open Cluster Manager is designed to simplify and accelerate the deployment of AI workloads on Vultr Cloud GPU clusters. Built on powerful open-source technologies such as Terraform, Ansible, Grafana, and Slurm, it streamlines the complex process of setting up and managing a GPU cluster.
Getting a cluster up and running can be a quick and straightforward process. First, deploy the Vultr Open Cluster Manager app directly from the marketplace. After deployment, simply configure a single file to define the specifics of the cluster, including the number and type of GPUs, the operating system, and the data center location.
From there, the platform takes over. Terraform automatically provisions the necessary cluster nodes, and an Ansible playbook handles the rest. This playbook updates all nodes, installs key software such as the Slurm scheduler and Prometheus Node Exporter, and configures a Grafana dashboard for monitoring. Once these automated steps are complete, the GPU cluster is ready to handle AI workloads.
Why Vulty Cloud GPU?
From our perspective, Vultr Cloud GPU provides powerful, next-generation infrastructure for GPU-accelerated workloads, powered by AMD and NVIDIA. It simplifies the process by handling complicated driver setups and licensing, giving customers direct access to raw GPU power for any computational task. The Vultr Open Cluster Manager further streamlines the process.
Across industries, accelerated computing is being adopted at a rapid pace for large-scale production. Vultr Cloud GPU provides breakthrough performance with fewer servers. This not only accelerates the time to insight but also reduces costs. The platform handles a wide range of workloads, including AI training and inference, scientific computing, and virtual desktop infrastructure (VDI) applications. By offering a diverse selection of GPUs from both AMD and NVIDIA, customers can choose the optimal hardware for their specific needs without being locked into a single vendor.
Vultr Cloud GPU enables customers to use neocloud GPU-as-a-service capabilities to swiftly deploy and manage GPU resources anywhere in the world. Whether a startup or a global enterprise, they can launch a cloud GPU instance in seconds, tailored to their needs. As the business grows or workloads become more complex, they can flexibly scale up or down, ensuring they always have the right resources without any wasted capacity.
Moreover, traditional hardware setups can be financially restrictive due to high maintenance and upgrade costs. With Vultr Cloud GPU, customers only pay for the exact GPU power they need, when they need it. This flexible, pay-as-you-go model enables the dynamic allocation of resources, which can eliminate wasted spending and make budgeting more predictable.
Gaining access to high-end computational power should not be difficult. Vultr simplifies the process with preconfigured deployments and an intuitive control panel and API. This makes it easy to run even the most complex GPU-driven workloads without the usual technical challenges and complexities.
As a result, we see Vultr well-positioned to deliver competitive advantages over neocloud players, such as CoreWeave, Lambda Labs, Crusoe, and Nebius, as well as the general-purpose hyperscalers (AWS, Azure, Google).
Reshaping the Neocloud Market Landscape
We see the neocloud market as a specialized but rapidly expanding segment of the broader cloud computing industry. Neocloud providers are a new type of cloud service designed specifically for demanding AI and machine learning tasks. They focus entirely on high-performance GPUs, offering infrastructure that is fully optimized for these intensive workloads.
The size and prospects of the neocloud market segment are directly tied to the explosive growth of AI, ML, and HPC workloads. As such, the neocloud market is a niche that is aligned with the global GPU-as-a-service market segment, which includes both hyperscalers and neocloud providers, and is experiencing explosive growth. The market segment was valued at $3.23 billion in 2023 and is projected to soar to $49.84 billion by 2032, representing a massive 36% growth rate (according to Fortune Business Insight).
The market's growth is primarily fueled by the massive demand for GPUs and other accelerators, which are essential for AI model training and inference. In fact, AI workloads are now a major source of new revenue for data centers and are a key reason for the industry's shift toward high-density, high-power infrastructure.
As a result, neocloud providers are succeeding by offering a more specialized, affordable, and user-friendly experience for AI workloads than the large hyperscalers. They typically provide simpler, more predictable pricing and direct access to the newest GPUs from NVIDIA and AMD, helping customers avoid the complex pricing and limited availability often seen with traditional providers. As a result, we find that neocloud providers often offer more competitive pricing and faster access to the newest GPUs than large hyperscalers.
Looking Ahead
We believe organizations can elevate their high-performance computing with Vultr Cloud GPU, powered by AMD and NVIDIA. Vultr combines its cloud capabilities with innovative GPU technology to equip businesses for meeting the full range of computational challenges. Vultr Cloud GPU is built to power a wide range of demanding workloads, including AI training and high-performance computing (HPC).
For artificial intelligence, Vultr’s complete solution stack can dramatically accelerate the training of large and complex models. This not only boosts productivity and saves costs but also helps organizations get to a faster return on investment. The same powerful GPUs also accelerate advanced HPC applications across diverse fields, from scientific research and weather forecasting to energy exploration and life sciences, paving the way for breakthrough discoveries.
We will monitor the evolution of the neocloud market and will likely become a key part of an existing multicloud strategy, acting as a specialized hub for AI training. To successfully integrate this, network leaders must design flexible architectures that can seamlessly manage data flow and security policies across this more diverse cloud ecosystem.
Ron Westfall | Analyst In Residence
Ron Westfall is a prominent analyst figure in technology and business transformation. Recognized as a Top 20 Analyst by AR Insights and a Tech Target contributor, his insights are featured in major media such as CNBC, Schwab Network, and NMG Media.
His expertise covers transformative fields such as Hybrid Cloud, AI Networking, Security Infrastructure, Edge Cloud Computing, Wireline/Wireless Connectivity, and 5G-IoT. Ron bridges the gap between C-suite strategic goals and the practical needs of end users and partners, driving technology ROI for leading organizations.
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Steven Dickens | CEO HyperFRAME Research
Regarded as a luminary at the intersection of technology and business transformation, Steven Dickens is the CEO and Principal Analyst at HyperFRAME Research.
Ranked consistently among the Top 10 Analysts by AR Insights and a contributor to Forbes, Steven's expert perspectives are sought after by tier one media outlets such as The Wall Street Journal and CNBC, and he is a regular on TV networks including the Schwab Network and Bloomberg.