IBM, Amazon network design teams to work on AI network design
By David CzajkowskiThe AI network designs that IBM is developing with Amazon are likely to be part of the next generation of network designs and will be developed to serve different needs, IBM said today in a statement.
These new designs will also allow IBM to better tailor network architectures to suit different business models, which will help to improve both the efficiency of the network and the reliability of the underlying infrastructure, the company said.
These new designs are aimed at supporting IBM’s existing network design team as well as to provide a deeper insight into the current state of network design and improve the way that engineers are able to use the technologies and the algorithms that they’re developing, according to IBM.
The new designs and new capabilities will make it easier for engineers to better optimize network architectures and enable them to deliver better value for customers, IBM wrote.
“The IBM network is evolving to enable us to support our customers in the cloud and in the marketplace with innovative solutions that can provide better service for our customers, customers, and businesses, and to enable faster and more flexible network deployment,” said Paul Tassi, vice president and general manager of IBM’s Networking and Communications group.
“This new architecture will enable IBM to offer faster, more reliable network services, and make it possible to build network architectures with higher performance, lower latency, and more availability to our customers.”
These new network designs will be used in Amazon’s Watson cloud platform, IBM added.
The AI networks are the first products of the new IBM AI-powered network design.
The network designs are the result of a two-year collaboration between IBM, IBM Research, and Amazon.
IBM has been working with IBM Research for nearly two years to develop a network design for the cloud.
The collaboration, which is led by IBM’s research labs in Silicon Valley, was launched in January 2018.
The new AI-based network designs could also help IBM deliver on its goal of enabling AI to drive its own future network design as well.
These designs are a way to help IBM improve its network architecture and improve its ability to provide faster, better service to its customers and employees.IBM’s AI network development will focus on building a set of network capabilities that are scalable and reliable.
The goal is to allow for the deployment of network architectures that are faster, cheaper, and faster, with the same quality as those of other network platforms, IBM noted.
The IBM AI network architecture is the latest effort by IBM to accelerate the pace of its AI network efforts.
IBM is already building the next-generation network for Watson, and in 2017 it announced it would build its own AI network that could replace the IBM Watson cluster in the next decade.
IBM’s network architecture will also be a significant part of IBM Watson’s AI cloud platform.IBD’s Watson AI network was the first of its kind, which offers AI to a large part of its customers.
It will be one of the first AI network products to support real-time analytics, as well, and IBM’s Watson team is working on building its own network for analytics.
IBM AI Network will also work with IBM’s Data Science and Analytics Group to help it create more AI networks to help customers analyze data and deliver better service, according.IBISP Watson AI Network, which was built in partnership with IBM, is expected to be used to serve customers in its own cloud service and to be able to provide AI solutions to IBM customers, such as for real-estate analytics, healthcare analytics, and other areas.IBB’s Watson network will be a part of Amazon’s AWS cloud platform and will leverage the same capabilities and technologies that IBM has built for the Watson cluster.
IBM announced in February that it had created a new AI network called AIX for AWS that will be able access the cloud network infrastructure that will house the Watson network.
The Amazon network is designed to support a wide range of use cases, from online banking, to online payments, to video streaming and security, according