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Air-gapped Hyperconverged Cloud Infrastructure (HCI) from Edge to Core

As computing advances and more data can be gathered at the edge, more organizations are looking to accelerated computing to extract greater value and even functionality at the edge.

But organizations with strict workload performance requirements often find themselves relying on costly public cloud environments, rather than deploying their own custom solutions. This simple but ineffective approach becomes untenable when planning for more complex workloads with specific performance and security needs.

Source Code addresses these challenges with the Edge Hyperconverged Infrastructure (HCI) Cluster™. The Edge HCI Cluster is a small-footprint, air-gapped cloud environment-in-a-box designed for performance, reliability, portability, and security at the edge.

This solution provides a high-performance computing environment to support critical operations at the edge, such as secure development environments, remote location computing, among others. At the same time, the cluster design allows you to interface with a powerful centralized cloud environment, where you can offload less critical tasks. And the cluster’s simplified administration improves usability and streamlines setup and management of resources.

When an organization’s workflow relies on secure environments or high-performance computing in remote environments or distributed teams, the Edge HCI cluster cloud environment can unlock a new level of ROI and usability.

Key Features

  • Small rack unit configuration for portability
  • Designed for simple expansion
  • Configurable network speeds to match unique requirements
  • Resilient, pooled data storage

Ideal Use Cases

  • Edge-to-cloud, cloud-to-edge deployments
  • Secure development environments
  • Air-gapped cloud computing

Relevant Industries

Government
Aerospace & Defense
Communications
Oil & Gas

Example Edge HCI Deployment

  • Networking: 1Gb and 10Gb Ethernet
  • Compute: Intel Xeon Scalable processors in high-density blade servers
  • Storage: 8TB per node, 64TB total capacity in base configuration

Supported Software & AI Frameworks

Can be deployed with containers (e.g., Kubernetes), container orchestration, HCI stack, Source Code AI Stack, Source Code’s Scientific Computing Stack, and support for popular frameworks.

Edge HCI Cluster
Edge HCI Cluster
Edge HCI Cluster
Edge HCI Cluster
Edge HCI Cluster
Edge HCI Cluster
Edge HCI Cluster
Edge HCI Cluster

We build each of our systems to “zero defect” standards in our U.S.-based manufacturing facilities. Then we hand inspect every order, testing them to ensure they are 100% operational and optimized to support rapid deployment.

We offer a comprehensive 3-year warranty standard, with every system purchased. But you can add extended or custom warranties if your situation calls for it.

We offer customer support at different levels, each based on a detailed service level agreement (SLA) that fits your needs. And, with each one, you get the added benefit of knowing that the people who take your call are in-house Source Code staff whose sole focus is customer support.

Get a quote

Our engineers are not only experts in traditional HPC and AI technologies, we also routinely build complex rack-scale solutions with today’s newest innovations so that we can design and build the best solution for your unique needs.

Talk to an engineer and see how we can help solve your computing challenges today.