Managed Bare Metal Clusters
When virtualized cloud is not the right fit, bare metal clusters give you direct hardware ownership patterns with private networking, custom storage layouts, and orchestration freedom. HYEHOST provides the cluster foundation, network design, and infrastructure-side support so your team can build on dedicated nodes without starting from a blank rack diagram. These managed cluster deployments are currently delivered from our Wolverhampton, UK location.
Dedicated cluster hardware without giving up on speed, control, or network flexibility
Bare metal clusters fit teams that want to choose their own virtualization, storage, or orchestration layer while keeping direct access to CPU, memory, NVMe, and network topology. That usually matters most when scale, latency, licensing, or noisy-neighbor risk makes abstraction expensive.
Dedicated performance
Every node is physical hardware, so you avoid provider-controlled hypervisor overhead and shared-resource contention patterns.
- Direct access to full CPU, RAM, and storage profile
- Strong fit for consistent high-throughput and low-jitter workloads
- Better baseline for tuning at the OS and platform layer
Your stack, your rules
Run the control plane that fits your team rather than bending the platform around a provider's preferred orchestration path.
- Proxmox VE, Kubernetes, OpenStack, VMware, or bare Linux
- Bring your own cluster design and automation approach
- Easier alignment with internal standards and compliance expectations
Private fabric control
Cluster performance often depends more on inter-node behavior than public uplink headline speeds. We design around that reality.
- Separate management, storage, and service path options
- Dedicated private interconnect choices for cluster traffic
- Better platform predictability under load and rebuild events
Physical nodes, a private fabric, and enough separation to keep the cluster sane
Good bare metal cluster design is not just "three servers on one subnet." It is a hardware and network conversation: where management lives, how storage traffic moves, what failover domains exist, and how much inter-node bandwidth the workload actually needs.
- Hardware nodes with private inter-node links and direct management access
- Suitable for virtualization, container, and storage-heavy stack choices
- Designed for cluster continuity, rebuilds, and expansion planning
Dedicated cluster behavior
This layout focuses on hardware nodes and a private interconnect rather than provider-owned virtualization layers. It is meant to illustrate dedicated cluster architecture, not a one-size-fits-all topology.
Choose the storage layer that matches the workload instead of forcing everything onto one tier
With bare metal clusters, performance conversations can be more direct. You are choosing drives, controllers, interconnects, and stack behavior rather than accepting a one-size-fits-all managed abstraction.
Raw local NVMe
The highest-performance option when the workload wants direct local disk and the platform can handle resilience at another layer.
- Fastest direct-attached profile for low-latency and scratch tiers
- Strong fit for caches, search, and hot data paths
- Less shared-failure tolerance than replicated storage
Replicated cluster storage
Distributed storage buys continuity and flexibility, but it spends some headroom on network travel, replication, and recovery behavior.
- Good fit for shared block or persistent volume designs
- Better for cluster-level resilience and service movement
- Benefits materially from clean 10G or 25G private fabric
RAID-backed node storage
Useful where predictable local redundancy and simpler operational recovery matter more than full distributed storage semantics.
- Fits OS tiers, platform services, and some VM profiles well
- Controller, cache, and write policy heavily influence output
- Still should be part of a wider cluster continuity plan
Relative figures are illustrative rather than universal. Real performance depends on drive class, replica count, queue depth, controller design, and the chosen orchestration layer.
From a compact HA footprint to a larger private hardware fleet
Not every cluster starts the same way. The right shape depends on whether the goal is HA virtualization, private Kubernetes, storage-heavy workloads, or a mixed compute fleet.
3-node starting cluster
The minimum practical starting point for many HA or quorum-aware designs.
- Good fit for smaller production private cloud stacks
- Strong entry point for virtualization or container platforms
- Easier to budget without making the design disposable
5-node production cluster
A more comfortable production footprint when storage separation, stronger fault domains, or heavier inter-node movement are required.
- Better room for storage and compute role separation
- More resilient for busy platform workloads
- Easier to design around maintenance and growth
7+ node custom fleet
For mixed roles, storage-heavy deployments, tenant fleets, GPU nodes, or private platforms with more than one workload class.
- Custom topology by workload type
- Better fault-domain planning and node specialization
- Designed for bigger platform ambitions without rethinking the foundation
Where dedicated cluster hardware is usually the better answer
Bare metal clusters are not only about more power. They are often about better control over performance, failure behavior, licensing, and network design.
Private Kubernetes
Run your own k3s, k8s, or RKE2 environment on dedicated nodes with the storage and CNI choices your platform team actually wants.
Private virtualization
Build dedicated virtualization estates where cluster policy, storage mode, and network design stay under your control.
Data and analytics
High-storage and high-throughput clusters where local NVMe, replicated storage, and fast private links matter more than multi-tenant convenience.
ML and compute farms
Dedicated training, inference, or batch environments that benefit from hardware-level control and cluster-aware scheduling.
Game and edge services
Latency-sensitive deployments where direct hardware behavior and private interconnects beat generalized shared infrastructure.
Compliance-focused estates
When the platform needs explicit hardware ownership patterns, segmented networking, and more direct access assumptions than public cloud allows.
Bring your own IP, your own ASN, and your own routing logic if the platform needs it
Private cluster projects often fail when networking is treated as an afterthought. HYEHOST can plan around public addressing, internal fabrics, and downstream requirements from the start.
BYOIP and BYOASN
Use your own address space and ASN where your routing policy and external network identity matter.
Private VLANs and fabrics
Separate storage, management, replication, and service traffic onto the paths that make sense for the workload.
Firewall and edge control
Insert dedicated security nodes or route-policy controls where the cluster edge requires more than default provider behavior.
Bare metal clusters against managed Proxmox cloud and public cloud
Some teams need managed virtualization. Some need raw hardware. This table helps frame where each model is stronger.
| Capability | Bare Metal Clusters | Managed Proxmox Cloud | Public Cloud |
|---|---|---|---|
| Hardware control | Full control of hardware roles and stack choice | High platform control inside managed Proxmox design | Low direct control over hardware behavior |
| Virtualization overhead | Only what your own chosen stack introduces | Built around Proxmox VE virtualization workflows | Provider-managed abstraction layer is mandatory |
| Private network design | Strongest fit for custom fabrics and role separation | Strong fit where managed HA and virtualization are wanted | Usually constrained by provider networking models |
| Operational burden | Your team owns more of the stack logic | More of the platform-side burden is handled by HYEHOST | Some operations are hidden but also less customizable |
| Best fit | Teams that need dedicated hardware and stack freedom | Teams that want private cloud with managed HA operations | Teams optimizing for speed of adoption over control |
Need a dedicated cluster design instead of another generic server quote?
Tell us what you are building, what stack you plan to run, what your private interconnect needs look like, and whether you need BYOIP, transit, storage replication, or separate management planes. We will scope a cluster around the actual workload rather than pushing a one-shape-fits-all server list.