沙利文授予华为星河AI网络解决方案「全球技术领导奖」

沙利文授予华为星河AI网络解决方案「全球技术领导奖」

2023/09/30

沙利文授予华为星河AI网络解决方案「全球技术领导奖」
近日,弗若斯特沙利文(Frost & Sullivan,简称:“沙利文”)于沙利文大中华区25周年庆典暨贵宾答谢晚宴上公布了2023年度“最佳实践奖”(Frost & Sullivan Best Practices Awards)评选结果。基于对全球智能无损数据中心网络解决方案市场的调研和分析,以及对业内相关公司的研究和评估,沙利文决定授予华为星河AI网络解决方案 「全球技术领导奖」。

沙利文“最佳实践奖”旨在表彰全球各领域在领导力、技术创新、客户服务、产品质量等方面表现卓越、不断满足客户需求的公司。沙利文认为,华为通过创新的、高效的、端到端一站式的华为星河AI网络解决方案,持续为客户创造价值。

 

沙利文授予华为星河AI网络解决方案

“全球技术领导奖”

 

华为推出华为星河AI网络解决方案,旨在提供一种高效、可靠、安全的数据中心网络解决方案,以支持大规模数据中心的数字化转型。华为星河AI网络解决方案不仅提高了数据中心的网络性能和数据安全性,还为企业带来了更高的数字化转型效率。华为抓住AI时代数据中心RDMA代际切换机遇,创新地基于独创的iLossless算法打造了下一代智能无损数据中心网络解决方案,依靠独特的智能拥塞调度算法,真正解决传统以太网络拥塞丢包的问题,实现RDMA业务流的零丢包、高吞吐和超低时延,加速AI时代的计算和存储效率,满足RoCEv2应用的高性能需求。同时,华为星河AI网络解决方案还支持多种 AI 技术,如深度学习、自然语言处理等,帮助数据中心实现更高效的数据处理和分析。该方案通过独特创新的拥塞管理和流量控制技术,解决了以太网时延大、易丢包和吞吐率低的难题,具备极速性能、融合网络和简化运维的特点。

 

华为意识到企业在抓住AI实现数据价值变现的历史机遇中构建智能无损数据中心网络的紧迫性和必要性,通过华为星河AI网络解决方案打造零丢包、低时延、高吞吐的智能无损网络的独特技术优势和客户价值,赋能企业构建下一代数据中心网络。目前,华为星河AI网络解决方案在多个项目中得到了广泛应用,包括金融、智能制造、政务等多个领域。

 

Huawei Xinghe Network Solution for AI Training Scenarios Applauded by Frost & Sullivan with the “Global Technology Leadership Award”

Recently, Frost & Sullivan announced the results of the “2023 Frost & Sullivan Best Practices Awards”. Based on the research and analysis of the global intelligent lossless data center network solutions market, as well as the research and evaluation of relevant companies in the industry, Frost & Sullivan decided to award Huawei Xinghe Network Solution for AI Training Scenarios the "Global Technology Leadership Award".

 

The Frost & Sullivan “Best Practices Award” aims to recognize companies in various fields around the world that demonstrate excellence in leadership, technological innovation, customer service, product quality, and continue to meet customer needs. Frost & Sullivan believes that Huawei continues to create value for customers through innovative, efficient, end-to-end and one-stop Huawei Xinghe Network Solution for AI Training Scenarios.

 

Huawei launched Huawei Xinghe Network Solution for AI Training Scenarios, aiming to provide an efficient, reliable and secure data center network solution to support the digital transformation of large-scale data centers. Huawei Xinghe Network Solution for AI Training Scenarios not only improving the network performance and data security of data centers, but also bring higher digital transformation efficiency to enterprises. Huawei has grasped the opportunity of inter-generation switching of RDMA for data centers in the AI era and innovated to create the next-generation intelligent lossless data center network solution based on the original iLossless algorithm. Relying on the unique intelligent congestion scheduling algorithm, Huawei has truly solved the problem of traditional Ethernet network congestion and packet loss, and achieved zero packet loss, high throughput and ultra-low latency of RDMA service flow. Accelerate computing and storage efficiency in the AI era to meet the high performance requirements of RoCEv2 applications. At the same time, Huawei Xinghe Network Solution for AI Training Scenarios also supports a variety of AI technologies, such as deep learning, natural language processing, etc., to help data centers achieve more efficient data processing and analysis. The solution solves the problems of large Ethernet delay, easy packet loss and low throughput through the unique and innovative congestion management and flow control technology. It has the characteristics of ultra-fast performance, converged network and simplified operation and maintenance.

Huawei recognizes the urgency and necessity for enterprises to build intelligent lossless data center network while seizing the historical opportunity of realizing data value from AI. Huawei Xinghe Network Solution for AI Training Scenarios provides unique technical advantages and customer value of creating intelligent lossless networks with zero packet loss, low latency and high throughput, enabling enterprises to build next-generation data center networks. At present, Huawei Xinghe Network Solution for AI Training Scenarios has been widely used in a number of projects, including finance, intelligent manufacturing, government affairs and other fields.


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