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Xilinx Alveo Accelerators Power Real-Time AI-based Intrusion Detection Service

Today Xilinx announced that SK Telecom has adopted Xilinx Alveo Datacenter Accelerator cards to power a real-time AI-based physical intrusion and theft detection service. SK Telecom’s AI inference accelerator (AIX) implemented on Xilinx Alveo cards provides efficient and accurate physical intrusion detection using deep neural networks. “In the era of Artificial Intelligence where new services are being deployed at unprecedented rates, we keep pursuing to innovate our cloud systems to deliver more value to our customers with more reliable and efficient services across diverse segments.”

Nimbix Launches HyperHub Catalog of Cloud-enabled Applications

Today HPC cloud provider Nimbix announced the launch of HyperHub, a point-and-click catalog of HPC and accelerated applications. With the new self-service marketplace, engineers and scientists can select from a growing ecosystem of prebuilt apps and workflows and run them on any device, cloud, or on-premises infrastructure, anywhere in the world. “By providing access to a growing catalog of consumable, run-anywhere apps, HyperHub enables engineers and scientists to shorten their time-to-value when tackling complex, compute-intensive tasks like simulation and AI. HyperHub’s open marketplace structure also encourages ISVs and partners to continue building and publishing additional high-quality HPC apps for these professionals to use.”

Xilinx Steps Up with Alveo FPGA boards and Versal Adaptive Compute Acceleration Platform

Today FPGA maker Xilinx unveiled Versal, “the industry’s first adaptive compute acceleration platform (ACAP)”. The company also announced new Alveo FPGA cards, which the company claims can deliver “4X the performance of GPUs, 90X the performance of CPUs, plus unprecedented adaptability across workloads.” AMD, one of the Xilinx partners that is showcasing products based on the new Alveo boards, announced a server that will set a new world record for real-time AI inference processing, with a mind-boggling 30,000-images-per-second inference throughput.