AI (Artificial Intelligence) and DL (Deep Learning) have the potential to influence communications and business operations for the better. Intel is taking it live by working together with Microsoft in the aspect of real-time AI performance. It is bringing its AI technology for running complex DL models in the betterment of enabling applications.
Microsoft is using the Intel® Stratix® 10 FPGAs as a chief hardware accelerator for its new accelerated DL platform (Project Brainwave). With this addition, the platform can now deliver real-time artificial intelligence. This will enable cloud infrastructure in processing and transmitting data in the same pace as received. In the process, ultra low latency will be achieved as well.
Real-time AI demands
While AI is at an ever-evolving stage presently, it requires technologies to compensate workload purposes. This involves the convenience of the users, and that in turn includes consistent precision in performances. The adjoining of Intel AI technologies and Microsoft’s new DL platform can suffice accordingly. Project Brainwave and Intel Stratix 10 are already bettering standards and performances in real-time AI computation.
With time, delivering real-time AI is gaining more demand in the cloud. This is because the systems need to process live data streams and deliver rapidly back to the users. The concerned partnership is aiming at coping up with the demand.
Microsoft and Intel
In a today’s released blog, Microsoft revealed in detail on how its platform is using Intel FPGAs. Microsoft, in fact, was the first key service provider in deploying FPGAs in public cloud infrastructure, along with its technological advancements.
The blog revealed that the FPGAs are able enough to handle the most complex DL models with supreme flexibility and performance. It enables the acceleration of DNN (Deep Neural Networks), which can conceptually substitute the thinking attribute of the human brain.
Microsoft is presently working to deploy Project Brainwave in Azure cloud. This will help customers to run complex DL models at high-level performances.
As for Intel technologies, transforming data is one of their strong suits, with premium graded performance. The Intel FPGAs are programmable and customizable as well.