Private Networks

Make Your Intranet a Private Compute Network

Utilize every device—from GPU servers to desktops—to give local compute a massive upgrade. DCP private networks scale on-prem like never before.

Local, Private Compute Networks

DCP private networks leverage underutilized compute resources from all types of hardware already owned. This significantly increases the throughput and efficiency of on-premises applications, all without investing in new servers.

DCP private networks can exist across the entire organization or be partitioned into smaller subnets, which may be used by a particular project or business unit. To protect client data and maintain compliance standards, all the information used in compute workloads stays within a firewall. the information used in compute workloads stays within your firewall.

Consolidate different endpoints into one private compute network

Keep sensitive data and algorithms completely on-premises

Minimal systems administration requirements


DCP private networks harness compute resources scattered around an entire enterprise, and run compute workloads without any provisioning or orchestration. There are three primary factors that set these networks apart from any other on-prem computing solution:

Orchestration-less Scheduling

Workloads are scheduled and orchestrated across heterogeneous compute nodes without user involvement.

Recaptures Idle Cycles

DCP recovers idle and otherwise unused compute and memory resources from hardware.

Secure and Private On-Premise Network

DCP uses the web technologies that secure online global banking, conferring security through identity, portability, and performance.

Seamlessly Burst To Cloud

Organizations are increasingly adopting a hybrid model to take advantage of both public and private infrastructure. DCP private networks allow workloads deployed on-prem to seamlessly scale to the cloud.

DCP allows computational workloads to be load balanced between trusted compute groups in a similar manner to how enterprises sometimes peering their networks to exchange heavy traffic.

See Our Deployment Models -->

Protect Sensitive Data

Moving sensitive workloads to the cloud is often not feasible from a security or compliance standpoint. private networks sidestep this issue by keeping all operations on-premises, unless a hybrid deployment is authorized. This eliminates the need to transfer large amounts of data and proprietary algorithms to a public cloud.

Furthermore, DCP private networks control access to deploying and contributing to computational jobs. For example, a user may be granted permission to view the data in an application but not the code or results, which could fall outside of their access level.

Secure sandboxing to prevent malicious programs.

Cryptographic keys define device and user membership

Cryptographic keys define device and user membership

Private Network Industry Uses

Private networks excel when data cannot go off-prem; when data center investment is not preferable; or when local workloads regularly need to burst to the cloud.

University Networks

Thousands of idle desktop cores on a university campus can be pooled together, upgrading research capabilities.

Pre-Production Testing

Test-drive applications that will be deployed in the cloud using a highly adaptive local environment.

Buildings & Edge Computing

Make buildings self-sufficient in terms of compute resources, ideal for monitoring energy usage, security systems, & more.

Off-Peak Cycle Sharing

A multinational organization can shift workloads around time zones to capture idle capacity on its servers.

Managing Compliance

Private networks offer organizations such as manufacturers, hospitals, and banks an alternative to cloud or on-prem data centers.

Start Your Local Compute Group

Compute Groups are the future of on-premises and private networks.
Get in touch with the team and learn how to implement compute groups today.