These two terms appear side by side on most hosting comparison pages, and the difference between them is not always explained clearly. If shared hosting is also in the picture, the shared hosting vs VPS comparison covers that distinction separately. Partly because the hosting industry has muddied the language: a "cloud VPS" is a product that several major providers sell, which does not help. But VPS and cloud hosting describe fundamentally different architectures, and understanding that difference matters when you are deciding what to put your site or application on.
A VPS, or virtual private server, is a virtualised slice of a single physical machine. The host server runs a hypervisor (Proxmox in our case) that divides the physical hardware into isolated virtual machines. Each virtual machine gets a defined allocation of RAM, CPU cores, and storage. Those resources are yours for the duration of your subscription. Other virtual machines on the same physical host have their own allocations and cannot use yours.
The defining characteristic of a VPS is that its resources are fixed and local to one machine. If you have 4GB of RAM and 2 vCPUs on a VPS, that is what you have. You can upgrade by moving to a larger plan, but the upgrade requires migrating your VM to a machine with the available headroom. The VPS does not dynamically scale in response to load.
Cloud hosting draws resources from a distributed pool of hardware rather than a single physical machine. When you provision a cloud instance, the provider's platform allocates compute, memory, and storage from across a cluster of interconnected servers. If the physical node your instance runs on fails, the platform can restart it on another node, often automatically. This is the source of cloud hosting's reputation for higher availability.
The other defining characteristic of cloud hosting is elastic scaling. You can increase or decrease your instance's resources without migrating to a different physical machine, and many cloud platforms allow you to do this without downtime. Pay-per-use pricing is standard: rather than a fixed monthly fee, you pay for what you use per hour or per resource unit. At steady state this is predictable; under variable or spiky load, it can get expensive without spending time on budget alerts and autoscaling policies.
The differences that actually matter in practice come down to four things: resource allocation, scalability, pricing, and reliability.
On resource allocation, a VPS gives you fixed, dedicated resources that no other customer shares. A cloud instance may be backed by dedicated resources or by shared infrastructure depending on the provider and plan; the marketing is not always clear about which.
On scalability, cloud platforms win. Vertical scaling on a VPS requires migrating the virtual machine. Horizontal scaling requires managing multiple servers yourself unless you are using a managed platform. Cloud platforms make both easier, and some automate it entirely.
On pricing, VPS plans have a predictable flat monthly cost. Cloud hosting has a variable cost that can be lower at small scale and significantly higher under load. Running a cloud instance at a consistent small size for a year often costs more than a VPS of equivalent specs because you are paying for the flexibility of elastic scaling even on months you do not use it.
On reliability, cloud infrastructure typically offers better uptime guarantees because a failure of the underlying hardware does not necessarily mean downtime for your instance. A VPS depends on the availability of the physical host; if that host goes down for maintenance or a hardware failure, your VM is affected until it is migrated or the host is restored.
Most of the major providers (DigitalOcean, Linode, Vultr, Hetzner) sell products they call "cloud VPS" or "virtual machines in the cloud." These are typically VPS-style products (fixed resources, flat monthly pricing) running on cloud infrastructure (distributed hardware, live migration support). They combine the predictable pricing of a VPS with some of the availability benefits of cloud hosting.
The distinction between this and "true" cloud hosting (AWS EC2, Google Compute Engine, Azure VMs) is mostly around pricing model and the depth of autoscaling features. For most developers and small teams, a cloud VPS from Hetzner, DigitalOcean, or Arcadia behaves like a VPS regardless of the marketing terminology used to sell it.
Most managed WordPress hosts (WPEngine, Kinsta, Cloudways) run their infrastructure on top of cloud platforms like AWS or Google Cloud. What they are selling is not the underlying cloud platform but the managed layer on top: automatic updates, staging environments, server-level caching, CDN, and support. The customer does not interact with the cloud infrastructure directly.
Arcadia's WordPress hosting runs on our own VPS infrastructure in Northern France. The customer experience is the same as managed WordPress anywhere else (provisioned for you, no server management required), but the underlying architecture is KVM virtualisation on physical hardware rather than a hyperscaler platform.
For most readers, a VPS is the right choice. If your site or application has reasonably predictable traffic, a fixed monthly budget, and no requirement for autoscaling, the predictability of a VPS is an advantage rather than a limitation. For a breakdown of what VPS plans cost and how to compare them fairly, see the VPS hosting cost guide. The operational complexity of cloud hosting (cost monitoring, scaling policies, IAM, network configuration) adds overhead that small teams do not need and may not benefit from.
Cloud hosting makes sense when you genuinely need elastic scale: a product that sees unpredictable traffic spikes, a CI system whose load varies throughout the day, or an application that needs to expand across regions automatically. If you are building for those requirements, a VPS will eventually become the constraint. Most projects running a website, a few services, or a self-hosted application do not have those requirements, and do not benefit meaningfully from paying for the infrastructure to support them.
DigitalOcean calls its compute product Droplets, which are KVM virtual machines with fixed resource allocations and flat monthly pricing. By the technical definition, Droplets behave like VPS instances: you pay for a specific amount of RAM, vCPUs, and storage regardless of actual usage. The underlying infrastructure is cloud-based (distributed hardware, live migration support, high availability), which is why DigitalOcean markets itself as a cloud platform. For practical purposes, a DigitalOcean Droplet is a cloud VPS: you get the predictable pricing and fixed resources of a traditional VPS with the infrastructure reliability that cloud hardware provides.
An AWS EC2 instance is a virtual machine, but it is not the same product as a traditional VPS. EC2 uses per-hour billing rather than flat monthly pricing, integrates with a wide ecosystem of AWS services (load balancers, object storage, managed databases, IAM), and offers instance types optimised for specific workloads. A traditional VPS is simpler: a fixed monthly price, a virtual machine with defined resources, no surrounding ecosystem to configure. EC2 is the better choice when you need AWS-specific integrations or when you are building systems that rely on other AWS services; a VPS is simpler and more cost-effective for running a web server or application that does not need that ecosystem.
At equivalent resource levels and consistent usage, cloud hosting is often more expensive than a VPS. Pay-per-use cloud billing looks cheap at small scale but adds up under sustained usage, and the per-hour cost of running an AWS, GCP, or Azure instance continuously for a month typically exceeds the flat monthly rate for a VPS of similar specifications. The pricing advantage of cloud infrastructure shows up under variable or spiky load: you can scale down during quiet periods and scale up under traffic spikes, paying only for what you use. If your workload is consistent rather than variable, a VPS gives you equivalent performance at a lower and more predictable monthly cost.
A VPS handles high traffic well as long as the traffic is within the resource capacity of the plan. A 4GB RAM VPS running Nginx with FastCGI caching can serve tens of thousands of page requests per minute for cached content, because a cache hit requires almost no server resources to serve. The limiting factor is usually database concurrency for dynamic content rather than raw traffic volume. Sites with very high traffic that is also dynamic (large WooCommerce stores with many concurrent users, membership platforms, heavily personalised content) will eventually reach the ceiling of a single VPS and need a larger plan or a multi-server architecture, but most websites never get close to that point.
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