Remove Architecture Remove Software Remove Storage Remove Transportation
article thumbnail

From edge to cloud: The critical role of hardware in AI applications

CIO Business Intelligence

It is becoming increasingly important in various industries, including healthcare, finance, and transportation. Memory and storage The vast amount of data generated by AI workloads requires high-capacity storage solutions that can handle both structured and unstructured data.

article thumbnail

An Intelligent Future for Manufacturing

CIO Business Intelligence

In the automotive sector for example, the advent of autonomous vehicles has resulted in burgeoning demand for computing power, cloud storage and network bandwidth. With plans to expand, the company needed to upgrade its IT capabilities especially for storage and processing. One such automaker is China’s First Automobile Works (FAW).

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Finally leverage edge by adopting an as-a-service approach

CIO Business Intelligence

However, many organizations simply don’t have the resources or the expertise to build or manage the complex distributed systems required for effective edge computing delivery, a distributed computing paradigm that brings computation and data storage closer to the sources of data.

article thumbnail

Koch CTO teams up to get cloud networking right

CIO Business Intelligence

Instead, Koch’s engineering team set about virtualizing the physical transports to build the SD-LAN and firewall within the cloud rather than in the data center. Co-location providers that offer interconnection-oriented architectures — such as Equinix, Digital Realty, and CoreSite — partner with many of these suppliers.

CTO 97
article thumbnail

Is Cloud Interoperability a Myth?

Cloud Musings

Quoting his OpenStack Summit keynote : "Even across Mirantis-powered OpenStack clouds like AT&T and the Volkswagen cloud, they are both based on the same distribution, but the underlying reference architectures are dramatically different…Volkswagen can't throw something at AT&T and it will just work."

Cloud 107
article thumbnail

Finally leverage edge by adopting an as-a-service approach

CIO Business Intelligence

However, many organizations simply don’t have the resources or the expertise to build or manage the complex distributed systems required for effective edge computing delivery, a distributed computing paradigm that brings computation and data storage closer to the sources of data.

article thumbnail

Cutting edge solution for your business on the edge

Dataconomy

Simply put, edge processing refers to the practice of moving data processing and storage closer to where it is generated, rather than relying on centralized systems located far away. Edge processing is a computing paradigm that brings computation and data storage closer to the sources of data.