AI & HPC Data Centers
Fault Tolerant Solutions
Integrated Memory
What to consider when selecting an Edge Computing platform
Edge Computing was initially designed to reduce bandwidth, latency requirements, and the cost of taking raw data from the machine level and uploading it for processing, either to an enterprise data center or the cloud. As a form of distributed computing, Edge Computing handles application-specific functionality at the machine level. Edge Computing platforms are also able to increase the use of realtime applications by managing critical data through storing, processing, analyzing, and taking action.
Edge Computing was initially designed to reduce bandwidth, latency requirements, and the cost of taking raw data from the machine level and uploading it for processing, either to an enterprise data center or the cloud. As a form of distributed computing, Edge Computing handles application-specific functionality at the machine level. Edge Computing platforms are also able to increase the use of realtime applications by managing critical data through storing, processing, analyzing, and taking action.