Alphabet Inc's Google is making progress in taking on cloud computing leaders Amazon.com Incand Microsoft Corp, executives said on Wednesday, as the search engine company stakes more of its future on the cloud as a new source of growth. At a conference in San Francisco, Google cloud computing chief Diane Greene ticked off a host of new clients, including HSBC, Colgate, Verizon and eBay. The company also announced it had acquired Kaggle, a popular platform for data scientists that could boost Google's edge in the crowded field of artificial intelligence. Despite the announcements, analysts said Google remains a distant third in the market for cloud computing, the increasingly popular practice of using remote internet servers to store, manage and process data.
Cloud computing is a rapidly growing business in which technology firms rent time on their massive networks of computers to other companies. Among the tech giants seeking to stake a claim to this market is Alphabet Inc.’s Google unit, which in 2015 tapped Silicon Valley entrepreneur Diane Greene to run its cloud division and help it catch up with competitors like Amazon.com Inc. Ms. Greene sat down with Steven Rosenbush, the editor of CIO Journal, to discuss how the shift to cloud computing is changing business.
NVIDIA, Microsoft, and Ingrasys, a subsidiary of Foxconn, announced today their plans for HGX-1, a hyperscale GPU accelerator for AI and cloud computing. This open-source design is being released in conjunction with Microsoft’s Project Olympus initiative at the OCP (Open Compute Project) conference and is designed to give hyperscale datacenters a high performance and flexible path for the machine learning industry. I see this release part of a larger narrative for NVIDIA, which has truly been seeing incredible momentum in cloud/hyperscale over the past year—their Tesla business tripled (yes, tripled) last year. We’re seeing NVIDIA in a lot of places right now, from Facebook’s Big Basin OCP design to Fujitsu’s 24 DGX AI cluster. The computing model is changing, and machine learning training currently favors GPU computing—NVIDIA’s bread and butter.
Cisco's partnership with enterprise container solutions provider Docker has produced two validated designs, one aimed at utilising its own Unified Computing System (UCS) and the other for converged infrastructure. "We have already released two Cisco validated design guides [for containers]," Satinder Sethi, VP of Data Centre and Cloud Solutions for Cisco, said at Cisco Live Melbourne on Wednesday. "One that leverages UCS and Docker stack without any third-party storage ... and another one that's built on a FlexPod architecture." The solutions will see Cisco's UCS and converged infrastructure solutions combined with Docker Datacentre with Docker Enterprise Edition (EE) in an effort to reduce complexity, increase automation, and improve security and resilience, the company said.