AMD Alveo U55C High Performance Compute Card

The AMD Alveo U55C high performance compute cardprovides optimized acceleration for workloads in high performance computing (HPC), big data analytics and search, financial computing, computational storage and machine learning.

Featuring powerfulVirtex XCU55 UltraScale+ FPGA from AMD, 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 the new standards-based API-driven clustering solution from AMD 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 AMD and partner applications for common data center workloads. For custom solutions, the Application Developer Tool Suite (Vitis environment) and Machine Learning Suite from AMD provide the frameworks for developers to bring differentiated applications to market.

Key Features & Benefits Built for Performance & Efficiency

• Faster application performance with 16GB HBM memory and PCIe Gen4 interconnect

• Low latency network capability through 2x100G networking with support for 8x 25GbE, or 2x 100GbE

Adaptable - Accelerate Any Workload

• Accelerates compute, network, storage workloads

• Perfect for HPC workloads: Computer Aided Engineering (CAE), Big Data Analytics, Finite Engineering Method (FEM), Signal Processing

• Ideal for Scale Up and Scale Out system architectures

Accessible - Cloud On-Premises Mobility

• Built for scale out architectures for deployment solutions on the cloud or on-premises interchangeably

• Network Attached

• Ready for Scale COTS

• Ready to deploy in Standard DCs

• Using existing DC infrastructure