What you missed in Big Data: AI-generated insights

What you missed in Big Data: AI-generated insights

What you missed in Big Data: AI-generated insights


As more and more organizations start harnessing artificial intelligence in their analytics projects, the vendor community is stepping up its efforts to address the trend. IBM led the charge last week by adding a new model to its Power LC server line that is specifically geared towards running machine learning algorithms.

The two-socket server is marketed under the name S822LC and can be equipped with up to four of Nvidia Corp.’s Pascal P100 accelerators, which supposedly provide as much as three times better throughput than its previous-generation chips. The GPUs are linked to the machine’s main processors using a technology called NVLink that allows for data to travel 5-12 faster than the PCIe interfaces included in traditional machines. As a result, Big Blue says that the server is able to provide 80 percent more performance per dollar in certain situations.

Processing speed is also a key selling point for ScyllaDB Inc., an emerging database startup trying to make its mark on the fiercely competitive NoSQL space. The outfit last week unveiled a new version of its Cassandra-based columnar store that promises to provide up to 10 times more throughput than the upstream project while maintaining sub-millisecond latency. And ScyllaDB claims that its system also makes more efficient use of hardware resources, which enables organizations to reduce their infrastructure expenses.

The startup released its update against the backdrop of Yahoo Inc. open-sourcing Pulsar, a homegrown message broker designed to quickly shuffle data among applications. Like ScyllaDB, the web giant placed a strong emphasis on latency during the development process: Its system can handle hundreds of millions of records per day with average publish delays of less than 5 milliseconds. This feature should make Pulsar an attractive alternative to the more popular Kafka message broker from LinkedIn Inc., particularly for real-time applications that need to process information while it’s still fresh.

Maria Deutscher

Maria Deutscher is a staff writer for SiliconANGLE covering all things enterprise and fresh. Her work takes her from the bowels of the corporate network up to the great free ranges of the open-source ecosystem and back on a daily basis, with the occasional pit stop in the world of end-users. She is especially passionate about cloud computing and data analytics, although she also has a soft spot for stories that diverge from the beaten track to provide a more unique perspective on the complexities of the industry.


September 12, 2016 / by / in , , , , , , , , , ,

Leave a Reply

Show Buttons
Hide Buttons

IMPORTANT MESSAGE: Scooblrinc.com is a website owned and operated by Scooblr, Inc. By accessing this website and any pages thereof, you agree to be bound by the Terms of Use and Privacy Policy, as amended from time to time. Scooblr, Inc. does not verify or assure that information provided by any company offering services is accurate or complete or that the valuation is appropriate. Neither Scooblr nor any of its directors, officers, employees, representatives, affiliates or agents shall have any liability whatsoever arising, for any error or incompleteness of fact or opinion in, or lack of care in the preparation or publication, of the materials posted on this website. Scooblr does not give advice, provide analysis or recommendations regarding any offering, service posted on the website. The information on this website does not constitute an offer of, or the solicitation of an offer to buy or subscribe for, any services to any person in any jurisdiction to whom or in which such offer or solicitation is unlawful.