Scale Computing is a global leader in edge computing, virtualization, and hyperconverged solutions.  Their unique H3 converged cluster architecture combines server, storage and hypervisor resources into an easy-to-manage, rackspace-friendly package that that greatly reduces your TCO while introducing massive efficiencies and unmatched flexibility.

As a leading Scale Computing Partner, Scale Datacom can tailor a complete solution around their product offering that will put Scale’s unique hyperconverged architecture to work for you.

Full Featured

  • Snapshots / Cloning
  • Remote /Local Replication
  • Thin Provisioning
  • Autonomous Load Balanacing
  • Deduplication
  • Live VM Migration
  • BUILT-IN HYPERVISOR!
  • Non-Disruptive System Updates
  • Non-Disruptive Scale Out
  • Single-Pane, Role-Based Web Management

Flexible

  • Mix Different Sized Nodes to Exactly Match Your Needs
    • Spinning Disk, Flash-Hybrid and All-Flash Options
    • Different CPU Configurations
  • Replicate Between Disparate Nodes
  • Scale Nodes Without Service Disruption
  • Full Support for Windows and Major Linux

Unbeatable Value

  • All-Inclusive Feature Licensing
    • Everything is included in the price of the array
  • Integrated hypervisor – Say bye bye to VMware licensing costs!
  • Unbeatable mix of IOPs, Features and usable capacity per dollar spent
  • Stable, budget-friendly support pricing which includes cluster nodes and switches

NODES

Specs Per Node HC100 Series HC500 Series HC1000 Series HC5000 Series
CPU Intel iCore i3 – i7 Intel XEON E2200 Intel XEON: Max 2 CPUs Intel XEON: Max 2 CPUs
RAM 8-64GB 16-128GB 64-768GB  64GB – 1.5TB
Storage  NVMe, HDD: Max 4TB SSD, HDD: Max 32TB SSD, HDD: Max 32TB SSD, HDD: Max 192TB
Network 1Gbe 1Gbe, 10Gbe SFP+ 10GbaseT, 10Gbe SFP+ 10GbaseT, 10Gbe SFP+
Form factor Mini-U (3 per 1U) 1U 1U 2U
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RESOURCES

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 Brochure Feature Set Reduce TCO Solution Brief – State & Local Goverment
 

Contact us today to discuss how Scale Computing’s unique architecture might benefit your organization.