Amazon Web Services chief evangelist Jeff Barr announced in a recent blog post that the company was adding Xilinx FPGAs to its Amazon Elastic Compute Cloud (Amazon EC2). The addition of this new hardware will allow users to create accelerated FPGA applications, but AWS will also let users sell these applications on the AWS Marketplace. “We are giving you the ability to design your own logic, simulate and verify it using cloud-based tools, and then get it to market in a matter of days,” said Barr.
Today Nimbix announced the immediate availability of the Xilinx SDAccel development environment for on-demand development, testing, and deployment of FPGA-accelerated workflows in the Nimbix Cloud, powered by JARVICE. The SDAccel development environment combines the industry’s first architecturally optimizing compiler supporting any combination of OpenCL, C, and C++ kernels, along with libraries, development boards and industry standard development and run‐time experience for FPGAs.
Xilinx has announced that Baidu, a Chinese language Internet search provider, is utilizing Xilinx FPGAs to accelerate machine learning applications in its datacenters in China. “Acceleration is essential to keep up with the rapidly increasing data centre workloads that support our growth,” said Yang Liu, executive director at Baidu.
Today EXTOLL in Germany released its new TOURMALET high-performance network chip for HPC. “The key demands of HPC are high bandwidth, low latency, and high message rates. The TOURMALET PCI-Express gen3 x16 board shows an MPI latency of 850ns and a message rate of 75M messages per second. The message rate value is CPU-limited, while TOURMALET is designed for well above 100M msg/s.”
Today IBM and Xilinx announced a multi-year strategic collaboration to enable higher performance and energy-efficient data center applications through Xilinx FPGA-enabled workload acceleration on IBM POWER-based systems. IBM and Xilinx, through a private signed agreement and collaboration through the OpenPOWER Foundation, are teaming to develop open acceleration infrastructures, software and middleware to address emerging applications such as machine learning, network functions virtualization (NFV), genomics, high performance computing (HPC) and big data analytics.