Large language model inference latency
Large language model inference typically requires significant computing resources, resulting in unacceptable latency when processed in traditional centralized data centers.
Large language model inference typically requires significant computing resources, resulting in unacceptable latency when processed in traditional centralized data centers.
Data centers are expected to support new media companies with low-latency and high-speed network for their fast response to various needs, such as data exchange and data transmission.
Data centers must exhibit high flexibility, such as the ability to quickly scale up and down, to add or reduce service, and to meet the constantly evolving needs of the new media market.
The new media companies require data centers to reinforce physical and cybersecurity and to take preventive measures against unauthorized data access and takeovers.
The new media industry requires data centers to be highly reliable to prevent data losses and disruptions, as well as to address challenges related to data exchange and transmission.
The data centers are expected to support high-speed data transmission with sufficient network bandwidth and handle enormous amount of data inquiring with strong data processing capabilities in order to meet the high-performance requirements of new-media companies.
High-end manufacturing have a high demand for environment stability, which requires data centers to deliver robust cooling and UPS power backup.
High-end manufacturing requires data centers to address the ever-changing business requirements and business growth with high scalability.
High-end manufacturing needs a large amount of data analysis to optimize production and shorten time-to-market for new offerings, requiring data centers to support large-scale data analysis and real-time data processing.
High-end manufacturing requires data centers to reinforce security measures to protect its business confidential information and user data.