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Need a rugged, far-edge server designed for extreme conditions?
The HPE Edgeline EL8000t Converged Edge System is designed to deliver high performance, low latency data ingestion, and processing in the most hostile far-edge environments. Based on open standards, the HPE Edgeline EL8000t provides the flexibility to deploy common tools and architecture from edge to cloud, reducing deployment, operational, and training costs. This open standards architecture also allows customers to choose the hardware and software that best meets their workload requirements, avoiding vendor lock-in.
Purpose-built for telco environments, the HPE Edgeline EL8000t boasts an ultra-dense, short depth chassis with size, weight, and power specifications to support rack configuration flexibility in a small footprint. This enables communication service providers to process vast amounts of data in real time directly at the edge. Redundant cooling and power supply options provide system failure protection.
The HPE Edgeline EL8000t Converged Edge System features operational temperature thresholds from -5 to 55 degrees C (23 – 131 degrees F), designed to meet MIL-PRF-28800F class 3 thermal limits.
Designed to exceed NEBS Level 3 compliance.
Operational humidity levels are up to 90%, noncondensing.
HPE Edgeline EL8000t Converged Edge System has the ability to withstand operational shock up to 10G.
HPE Edgeline EL8000t Converged Edge System is built with common tools and architecture from edge to cloud, reducing deployment and training costs.
Single set of hardware to deploy, manage, and support, reduces operational costs.
This product provides flexibility to choose the options and software that best meet your workload requirements.
HPE Edgeline EL8000t Converged Edge System features an ultra-dense, short depth chassis that provides rack configuration flexibility in a small footprint.
Size, weight, and power optimized to fit into both existing and new environments.
Redundant cooling and power, reduce downtime in remote locations.
* Prices may vary based on local reseller.