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Xilinx® Alveo™ U55C Accelerator Card – Passive – Part ID: A-U55C-P00G-PQ-G

$2,659.25

Dual-Port 100GbE PCIe 3.0 x16 or Dual PCIe 4.0 x8

SKU: A-U55C-P00G-PQ-G Category:

Description

Alveo U55C Accelerator CardThe Xilinx® Alveo™ U55C high performance compute card provides optimized acceleration for workloads in high performance computing (HPC), big data analytics and search, financial computing, computational storage and machine learning.Featuring Xilinx’s powerful Virtex™ XCU55 UltraScale+ FPGA, the Alveo U55C card packs in high bandwidth memory (HBM2) and 200Gbps of high-speed networking into a single slot, small form factor card, and is designed for deployment in any server.The U55C accelerator is paired with Xilinx’s new standards-based API-driven clustering solution and equipped with C/C++ programmability. This solution empowers a broad spectrum of customers with large-scale compute workloads to realize the performance advantages of FPGAs at 1000+ node scale, easily implementing HPC clustering using their existing data center infrastructure and network, with no proprietary hardware required.The U55C card supports PCI Express® (PCIe®) Gen3x16 or dual Gen4x8, contains 16 GB of High-Bandwidth Memory (HBM2) at 460GB/s of bandwidth, and Ethernet networking capability with dual QSFP28 connectors capable of 2 x 100 Gb/s.Enabling Alveo accelerator cards is an ecosystem of Xilinx and partner applications for common data center workloads. For custom solutions, Xilinx’s Application Developer Tool Suite (Vitis™ environment) and Machine Learning Suite provide the frameworks for developers to bring differentiated applications to market.Key Features & BenefitsBuilt for Performance & EfficiencyFaster application performance with 16GB HBM memory and PCIe Gen4 interconnectLow latency network capability through 2x100G networking with support for 8x 25GbE, or 2x 100GbEAdaptable – Accelerate Any WorkloadAccelerates compute, network, storage workloadsPerfect for HPC workloads: Computer Aided Engineering (CAE), Big Data Analytics, Finite Engineering Method (FEM), Signal ProcessingIdeal for Scale Up and Scale Out system architecturesAccessible – Cloud <-> On-Premises MobilityBuilt for scale out architectures for deployment solutions on the cloud or on-premises interchangeablyNetwork AttachedReady for Scale COTSReady to deploy in Standard DCsUsing existing DC infrastructure Product Brief

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