Production workloads on your own rack.Applications run right next to their data.
Production workloads like private cloud, databases, AI inference, virtual desktops, backup and ERP or EMR apps run on single-tenant hyperconverged clusters. We match node roles to each workload so applications read from disks on the same private fabric.
Why HCI fits production workloads.Compute and data on one private fabric.
Production workloads suffer from slow storage paths, noisy neighbors and unpredictable bills. A hyperconverged cluster puts compute and storage in every node, so applications read from disks on the same private switching fabric instead of across a provider's network.
Ceph keeps three copies of every block and rebuilds them after a failure. Every node sits on single-tenant hardware with A and B power feeds, watched 24/7/365 by U.S.-based engineers. When a workload grows, you add a node instead of buying a new storage array.
Six workloads, one cluster design.What our clusters run in production.
Private cloud and virtualization
Run virtual machines on Proxmox VE, VMware vSAN or Hyper-V, on hardware no other customer shares.
Learn moreDatabases and real-time analytics
High-memory compute nodes and NVMe storage pooled by Ceph, next to the applications that query them.
Learn moreAI inference and GPU compute
GPU nodes where needed and fast storage for model files, close to the data your models score.
Learn moreVirtual desktops (VDI)
Desktops run on the same private fabric as the file and app servers they use.
Backup and disaster recovery
Immutable backup nodes and capacity-tier HDD storage, replicated to a second metro such as Ashburn.
Learn moreERP, EMR and business apps
Core systems on private VLANs in a known physical location, designed to support compliance and audits.
Matching workloads to node roles.Every rack is built for what runs on it.
- Private cloud and VDI
- HCI nodes, with compute and storage in every node.
- Databases and analytics
- High-memory compute nodes with an NVMe tier pooled by Ceph.
- AI inference
- GPU / high compute nodes with fast storage for model files.
- Backup and DR
- Storage / backup nodes on a capacity HDD tier, replicated to a second location.
- Internet-facing apps
- Network / security nodes, with 4 Gbps DDoS protection included and upgradeable.
Questions, answered.
Which workloads run best on a hyperconverged cluster?
Private cloud and virtualization, databases and real-time analytics, AI inference and GPU compute, VDI, backup and disaster recovery, and ERP, EMR and line-of-business apps.
Can one rack run several of these workloads?
Yes. A rack build can mix node roles, such as HCI, GPU, storage and network nodes, on the same private switching.
Can you host EMR systems for healthcare?
Yes. Clusters run on single-tenant hardware in a known location with private networking, designed to support HIPAA requirements.
Where do backup copies go?
To a second location, for example Chicago and Ashburn, on immutable backup nodes that cannot be changed or deleted once written.
Keep exploring.
Talk to the engineers who will build it.
Tell us what you run today and where you’re headed. We’ll come back with a design and a fixed monthly price.