Bare metal vs VPS vs cloud: which one do you need?

All three options rent you compute. They differ in who else shares the hardware, how consistent performance is, how quickly capacity appears and disappears, and how you pay for it. This guide compares them on the points that decide real projects, then covers when the cloud still wins and how teams combine both.

The three options

Bare metal (dedicated server). You rent a whole physical machine. Nobody else runs on it, and your operating system, or your own hypervisor, talks directly to the hardware. A cloud dedicated server, which is what FlexDedi sells, is bare metal ordered and managed like a cloud instance: control panel, API and Terraform, delivery in minutes for many configurations, and monthly billing.

VPS. A virtual machine with a fixed allotment of vCPUs, RAM and disk on a host shared with other customers, usually for a flat monthly price. A vCPU is a slice of a hardware thread, and a host may sell more vCPUs than it has threads.

Public cloud. Virtual machines from a hyperscaler, created and destroyed through an API, billed by the second or hour, and surrounded by managed databases, queues, object storage and serverless products.

At a glance

Isolation and noisy neighbors

On a shared host, tenants compete for resources a hypervisor cannot fully partition: last-level cache, memory bandwidth, storage queues and network interrupts. When a neighbor starts a heavy job, your latency can rise even though your vCPU allocation has not changed.

On a Linux VM you can see one symptom directly. Steal time is the share of time your vCPU was ready to run while the hypervisor ran something else:

vmstat 1 5   # "st" column: sustained non-zero values mean contention on the host

Single tenancy also removes the cross-tenant side of hardware side-channel attacks, the Spectre-style family that depends on sharing cores and caches with a victim. Some security policies and customer contracts require single-tenant hardware for that reason. On bare metal, the only noisy neighbor is your own workload, and you can see and control it.

Performance consistency

Averages hide the problem. Users feel the slow requests at the 99th percentile, and shared infrastructure is where long tails come from: neighbors, vCPU scheduling, CPU frequency decided by someone else, and block storage reached over a network.

Bare metal removes most of these variables. Cores run at the clocks the hardware allows, the cache and every memory channel are yours, and local NVMe answers without a network hop. Cloud block volumes are typically provisioned with IOPS and throughput limits tied to volume type and size, a ceiling that local drives do not have.

The only reliable comparison is your own: run the same load test on each option and compare p95 and p99 latency, not just the mean.

Hypervisor overhead

Hardware-assisted virtualization keeps CPU overhead low for compute-bound code. The costs show up elsewhere: exits to the hypervisor on I/O and interrupts, extra address translation on TLB misses, virtualized timers, and paravirtual network and disk drivers. How much that matters depends on the workload, so benchmark instead of assuming a percentage.

Bare metal also exposes what VMs often hide: hardware performance counters for perf, the real NUMA layout, huge pages, CPU pinning, SR-IOV, direct GPU access and an out-of-band console. You can still virtualize. Running Proxmox VE on a dedicated server gives you VMs with no oversubscription unless you choose it.

Elasticity

Elasticity is where the cloud earns its price. You can add 50 instances for an afternoon, pay for those hours and remove them, and autoscaling groups do it without anyone watching.

A VPS can usually be resized within its host's limits. Bare metal scales by adding servers. FlexDedi's "Ready in minutes" configurations are usually delivered within 15 minutes of payment with the OS installed, and the Storage, GPU and Max configurations usually the same day. A REST API and Terraform provider fit that into automation, but monthly billing makes bare metal a poor fit for capacity you need for a few hours.

The practical split is to put the baseline you need every hour of the month on bare metal, and leave short bursts where hourly billing makes sense.

Egress pricing and traffic

Traffic is the line item most often missing from comparisons. Public clouds generally do not charge for inbound data but meter outbound internet traffic per GB, and VPS plans usually include a transfer quota. On FlexDedi, traffic is unmetered on every server: no monthly cap and no egress or overage fees, inbound and outbound.

Estimate your monthly volume from the average outbound rate:

TB per month ≈ average Gbps × 0.125 GB/s per Gbps × 2,592,000 s ÷ 1,000

As an estimate, a service averaging 3 Gbps outbound moves about 972 TB in 30 days. On a metered plan, multiply that by your provider's per-GB rate; on a FlexDedi server with a 10 Gbps port, the only question is whether peaks fit the port. Video, downloads, game patches and public APIs with large responses are where the two models diverge most. More in unmetered bandwidth explained.

Cost at steady load

For a service that runs around the clock at a predictable level, compare the monthly cost of the capacity you need at peak, with everything around it:

• Cloud: instance hours (about 730 per month), block storage, provisioned IOPS, egress, load balancers and NAT, and a support plan.
• Bare metal: the monthly server price, backup storage, and the engineering time to run it.

A quick break-even test: if a cloud instance that matches your workload costs R dollars per hour, a server at P dollars per month costs less once the instance would run more than P ÷ R hours in the month. With an assumed rate of $2.00 per hour, not a quote from any provider, Pro 32 at $749/mo breaks even at about 375 hours, roughly half a month. Commitment discounts lower R but bring back the long-term contract that monthly bare metal avoids, and egress widens the gap for traffic-heavy services.

Bare metal has costs the cloud absorbs. You run your own databases instead of managed ones, plan capacity ahead, and handle hardware failures through support instead of relaunching an instance. Price that time honestly.

Failure handling

Hardware fails in every model; what differs is who notices and how you recover. In the cloud, a failed host usually means your instance restarts elsewhere, provided its disks live on network storage and your automation can bring the service back. On a VPS, recovery depends on the provider's tooling.

A single dedicated server is a single point of failure, exactly like a single VM, and the remedies are the same: two servers behind a load balancer or with database replication, backups on another machine, and infrastructure as code so a replacement is quick to rebuild. FlexDedi keeps spare parts on site in every location for fast hardware replacement, and the network is covered by a 99.99% monthly uptime SLA with service credits.

When the cloud still wins

• Spiky or unknown load: early products, event traffic, and batch jobs that run a few hours a day.
• Managed services you depend on: if your architecture leans on managed databases, queues, serverless functions or a data warehouse, moving off them means operating replacements yourself.
• Large, short bursts of accelerators: training runs that need many GPUs for days, not months.
• Footprint: regions beyond the 10 FlexDedi locations, or compliance programs tied to a specific provider.
• No operations capacity: if nobody can own an operating system, a managed platform costs less than learning under pressure.

When a VPS is enough

For a small website, a staging environment or a side project that idles most of the day, a VPS is the cheapest correct answer. FlexDedi starts at $299/mo for Core 16, a full 16-core server; if your workload fits in two vCPUs, that is more machine than you need.

Hybrid patterns that work

• Baseline on bare metal, bursts in the cloud. Run steady capacity on dedicated servers and let cloud autoscaling absorb peaks above it.
• Egress-heavy services on unmetered servers. Serve video, downloads and large API responses from bare metal, and keep managed services where they are.
• Databases on local NVMe. Put latency-sensitive databases on bare metal with Gen5 NVMe and plenty of RAM, and keep the application tier in the same metro area to limit round trips.
• Backups across providers. Back up bare-metal servers to cloud object storage, or cloud workloads to a storage server, so a single provider's incident cannot take every copy.
• One toolchain. Manage both with Terraform and the same configuration management, link them with WireGuard or IPsec, and use free private networking between servers in the same FlexDedi location.

A quick decision checklist

Answer these for the workload in front of you:

1. Does it run at a similar level for more than half of every month? Run the break-even test above; steady load usually favors bare metal.
2. Does it send a lot of data to the internet? Unmetered traffic favors bare metal.
3. Does it need consistent tail latency, local NVMe, GPUs or specific hardware features? Bare metal.
4. Does it depend on managed services, or swing from a handful of instances to hundreds? Cloud.
5. Does it fit in a couple of vCPUs and a few GB of RAM? A VPS.
6. Is it a mix? Most systems are. Put each part where it fits and connect them.

Run it on FlexDedi

If your load is steady, start with the server that matches today's peak and add servers as you grow. Core 16 ($299/mo) covers web apps, APIs and CI runners, Pro 32 ($749/mo) is the usual step for production databases and virtualization, and Pro 64 ($1,349/mo) suits private-cloud hosts and high-traffic platforms. All include unmetered traffic, always-on DDoS protection and an IPMI and KVM console, with monthly billing and no setup fees. If you are moving from a cloud provider, migration help with planning is free, and how to choose a dedicated server covers sizing in depth.