Feb 23, 2021
SAN JOSE, Calif.--(BUSINESS WIRE)-- Addressing the demands of the modern data center, Xilinx, Inc. (NASDAQ: XLNX) today announced a range of new data center products and solutions, including a new family of Alveo SmartNICs, smart world AI video analytics applications, an accelerated algorithmic trading reference design for sub-microsecond trading, and the Xilinx App Store.
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Xilinx Alveo SN1000 SmartNIC (Photo: Business Wire)
Today’s most demanding and complex applications, from networking and AI analytics to financial trading, require low-latency and real-time performance. Achieving this level of performance has been limited to expensive and lengthy hardware development. With these new products and solutions, Xilinx is eliminating the barriers for software developers to quickly create and deploy software-defined, hardware accelerated applications on Alveo accelerator cards.
“Data centers are transforming to increase networking bandwidth and optimize for workloads like artificial intelligence and real-time analytics,” said Salil Raje, executive vice president and general manager, Data Center Group at Xilinx. “These complex, compute-intensive and constantly-evolving workloads are pushing existing infrastructure to its limits and driving the need for fully composable, software-defined hardware accelerators that provide the adaptability to optimize today’s most demanding applications as well as the flexibility to quickly take on new workloads and protocols, and accelerate them at line rate.”
New Alveo SN1000 SmartNICs
The Xilinx® Alveo™ SN1000 is the industry’s first family of composable SmartNICs offering software-defined hardware acceleration for all function offloads. SN1000 SmartNICs directly offload CPU intensive tasks to optimize networking performance, with an open architecture that can accelerate a broad range of network functions at line rate.
Using the Vitis™ Networking platform and industry standard, high-level programming languages such as P4, C, and C++, software developers can create network functions, protocols, and applications that operate in hardware on the SmartNIC. Vitis Networking allows organizations to quickly and easily compose new, and tweak existing, network functions to handle new protocols and applications without replacing hardware, future proofing investments.
SN1000 SmartNICs provide software-defined hardware acceleration for a wide range of networking, security, and storage offloads, such as Open vSwitch and virtualization acceleration (Virtio.net). Security offloads include IPsec, kTLS and SSL/TLS and accelerated storage applications including Virtio.blk, NVMe™ over TCP, Ceph, and compression and crypto services.
Based on the Xilinx 16nm UltraScale+™ architecture, the SN1000 family of SmartNICs are powered by the low-latency Xilinx XCU26 FPGA and a 16-core Arm® processor. SN1000 SmartNICs deliver dual-QSFP ports for 10/25/100Gb/s connectivity with leading small packet performance and a PCIe Gen 4 interconnect. The first model in the family is the SN1022, which is offered in a full height, half length form factor in a 75-Watt power envelope.
The Alveo SN1022 SmartNIC will be generally available in March 2021.
Building the Smart World with New AI Video Analytics Platform
Xilinx is launching an AI video analytics platform with an ecosystem of partner solutions built to accelerate the most complex and latency-sensitive AI video inferencing applications. The Xilinx smart world platform, powered by the Xilinx Video Machine-learning Streaming Server, delivers whole application acceleration and can support multiple neural networks on a single Alveo accelerator card at deterministic sub-100ms pipeline latency. The result is the industry’s lowest TCO for demanding AI video analytics applications.
Xilinx smart world ecosystem solutions available today, include:
Low-Latency Electronic Trading for Everyone
Achieving sub-microsecond latency in algorithmic trading has traditionally required costly and time-consuming hardware development. The Vitis development platform now includes an accelerated algorithmic trading (AAT) reference design which gives software developers the ability to quickly and cost-effectively deliver sub-microsecond trading performance without the need for custom hardware development.
AAT, implemented on Alveo accelerator cards, provides a modular design that includes all the necessary components for an end-to-end, low-latency trading solution. Each module can be customized using C and C++ in the Vitis platform to meet each firm’s specific needs.
The AAT reference design is available today at no cost for Alveo accelerator card customers.
Xilinx App Store
Xilinx has launched an app store with ready-to-deploy accelerated applications spanning smart world AI video analytics to anti-money laundering and live video transcoding. Developed by Xilinx ecosystem partners, the containerized pre-built applications provide an easy way to evaluate, purchase and deploy accelerated applications in minutes. Visit the Xilinx App Store to learn more.
Xilinx Adapt: Data Center
Xilinx will showcase these and other accelerated solutions at the Xilinx Adapt: Data Center event taking place March 24-25. Xilinx Adapt is a virtual technology series highlighting key trends and advancements in the data center, 5G, software & AI, automotive and Vivado. The events provide an opportunity for developers and ecosystem partners to connect with Xilinx experts and industry leaders with a program of presentations, forums, product trainings and labs.
Xilinx, Inc. develops highly flexible and adaptive processing platforms that enable rapid innovation across a variety of technologies - from the cloud, to the edge, to the endpoint. Xilinx is the inventor of the FPGA and Adaptive SoCs (including our Adaptive Compute Acceleration Platform, or ACAP), designed to deliver the most dynamic computing technology in the industry. We collaborate with our customers to create scalable, differentiated and intelligent solutions that enables the adaptable, intelligent and connected world of the future. For more information, visit xilinx.com.
Source: Xilinx Newsroom
Category: Product Announcements
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Source: Xilinx, Inc.