Acting on stream processing data. In the short term, stream processing provides the instant information needed to support analysis and decision-making on the fly.

Consumers expect immediate, personalized gratification. Real-time distributed stream processing enables companies to meet those expectations. However, many see the technology as being out of reach for ...

Also available is a Splunk edge data stream processor for enterprise teams looking to better distribute analytics between cloud and edge locations.

User-space data-path processing comes with its own overheads. Since the network drivers run in kernel context and use kernel-space memory for packet storage, there is an overhead of copying the packet ...

With DPU, NVIDIA aims to bring efficiency and optimization to the enterprise data center that was once available only to cloud service providers.

IDT introduced the industry's first off-the-shelf statistics engine that uses an integrated 64-bit arithmetic logic unit (ALU) to offload up to 800 additional data-path processor cycles (per 64-bit ...

Light-based processors also promise to be more energy efficient, as they can transfer data over longer distances without using more power.