What is bare metal?

A virtual machine is software that emulates a computer on hardware shared with other tenants, which is what makes provisioning fast and resizing possible. The cost of that sharing is a layer of scheduling between your software and the machine: noisy neighbours, a host you cannot inspect, and limits on what kernel-level features are available to you.

Bare metal removes the layer and the benefit together. You get the whole machine's cores, memory and devices with no emulation overhead and no neighbour effects, and in exchange you wait longer for the machine, you lose the ability to migrate around a host failure, and you accept that scaling happens in machine-sized steps. Neither answer is categorically correct - the question is whether the abstraction is worth what it costs you.

Certain workloads keep bringing buyers back to the physical machine:

• Latency- and throughput-sensitive databases that cannot absorb a virtualisation layer.
• Software licensed per core or per socket, where every allocated vCPU becomes a cost.
• Regulated workloads whose audit scope has to name the hardware they ran on.
• Accelerator topologies where bus lanes, NUMA boundaries and fabric placement decide performance.
• Steady, saturating load that would never use the elasticity a VM pool is there to provide.

The common thread is a reason to care about the physical machine itself. When no such reason exists, a virtual machine is usually the better buy - and the service-model comparison covers where each fits.

Dedicated hardware changes the operational contract. Provisioning takes longer than an API call, because a machine has to be found, imaged and checked. A hardware fault is a replacement rather than a migration. Capacity planning becomes yours: idle cores cannot be returned to a shared pool, and growth means another machine in the rack rather than a larger value in a form.

Plenty of teams want exactly that trade - they have an operations function, a compliance reason, or a steady workload. For everyone else the honest answer is that virtual machines and managed platforms cover more ground with less responsibility, and most operators are willing to sell both because the two buyers are usually different departments rather than different companies.

Dedicated servers are also the layer the other models are built from. A virtual machine runs on a hypervisor installed on a physical host; a container host runs containers on an operating system that is itself sitting on metal. A provider selling bare metal is therefore selling the bottom of its own stack, and whoever rents it decides what gets installed there - a hypervisor farm, an orchestration cluster, a database that wants the machine to itself, or nothing but an operating system and a monitoring agent.

The categories overlap in practice rather than compete. Teams that want orchestration but not the neighbours take a set of machines and build on them; teams that want neither take a virtual machine and stop thinking about hardware. It comes down to how much of the stack you intend to operate, which is the same question that decides whether dedicated hardware belongs in the project at all.

On the marketplace a dedicated machine is simply a fixed-capacity offer: a provider states the machine class - processors, memory, storage, network, any accelerators - along with where it sits and on what terms it is available. A buyer either accepts that description at the published price or posts an order describing the shape of machine required and lets providers answer it, as set out in the anatomy of a listing.

Both parties verify identity before the order matches, and the tenant funds escrow so the provider starts from committed funds rather than an open invoice. While the lease runs, consumption is metered and reported in signed batches; readings wait out a dispute window; settlement prices them against the lease and draws them from escrow. The category on VirtEngine is the IaaS marketplace, where bare metal sits alongside the virtual machines it is usually compared against.