Alibaba Collaborating with Intel on an FPGA-based Solution to Help Customers Accelerate Business Applications
Alibaba Cloud, has announced a pilot program with Intel for a cloud-based acceleration service with the goal of enabling customers to have virtual access to powerful compute resources in the cloud to help them manage business, scientific and enterprise data application workloads more effectively.
By using Intel Arria 10 FPGAs, Intel Xeon processor-based servers and software development tools for application acceleration as a ready-to-go preconfigured infrastructure, Alibaba Cloud offers systems designers cloud-based workload acceleration as an alternative to investing in on-premises FPGA infrastructure. This service delivers on-demand scalability of workload acceleration with FPGAs while reducing upfront investment risks and accelerating delivery of new infrastructure services.
“At Alibaba Cloud, we offer customers access to a number of services in the cloud, and adding an FPGA-based acceleration offering means they can access that powerful computing without the cost or requirement of building out their own infrastructure,” said Jin Li, senior director, Alibaba Cloud. “This service greatly adds to our value as a leading provider of highly scalable cloud computing and data management services that provide businesses with flexible, reliable connectivity.”
One of the key benefits of FPGAs is that they are programmable and can be customized to accelerate and scale for varying workloads, such as machine learning, data encryption and media transcode.
“Intel FPGAs are enabling exciting new business models such as Alibaba’s approach of using FPGAs to accelerate diverse workloads via cloud services,” said Dan McNamara, corporate vice president and general manager, Intel Programmable Solutions Group. “In addition, Intel offers customers scalable solutions for accelerated computing with its data center leadership in Intel Xeon processors, FPGAs, optimized tools and software, and a global partner ecosystem across the spectrum of deployment models.”