If you are in the market for a powerful accelerator card you may be interested in the new Xilinx Alveo U55C purposely built for HPC and big data workloads. The new Alveo U55C card is the company’s most powerful Alveo accelerator card to date and offers users the highest compute density and HBM capacity in the Alveo accelerator portfolio.
“Scaling out Alveo compute capabilities to target HPC workloads is now easier, more efficient and more powerful than ever,” said Salil Raje, executive vice president and general manager, Data Center Group at Xilinx. “Architecturally, FPGA-based accelerators like Alveo cards provide the highest performance at the lowest cost for many compute-intensive workloads. By introducing a standards-based methodology that enables the creation of Alveo HPC clusters using a customer’s existing infrastructure and network, we’re delivering those key advantages at massive scale to any data center. This is a major leap forward for even broader adoption of Alveo and adaptive computing throughout the data center.”
“The Alveo U55C card combines many key features that today’s HPC workloads require. It delivers more parallelism of data pipelines, superior memory management, optimized data movement throughout the pipeline, and the highest performance-per-watt in the Alveo portfolio. The Alveo U55C card is a single-slot full height, half length (FHHL) form factor with a low 150 W max power. It offers superior compute density and doubles the HBM2 to 16 GB compared to its predecessor, the dual-slot Alveo U280 card. The U55C provides more compute in a smaller form factor for creating dense Alveo accelerator-based clusters. It’s built for high-density streaming data, high IO math, and big compute problems that require scale-out like big data analytics and AI applications.”
“Software developers and data scientists can unlock the benefits of Alveo and adaptive computing through high-level programmability of both the application and cluster utilizing the Vitis platform. Xilinx has invested heavily in the Vitis development platform and tools flow to make adaptive computing more accessible to software developers and data scientists without hardware expertise. The major AI frameworks like Pytorch and Tensorflow are supported, as well as high-level programming languages like C, C++ and Python, allowing developers to build domain solutions using specific APIs and libraries, or utilize Xilinx software development kits, to easily accelerate key HPC workloads within an existing data center.”
Source : Xilinx
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