Xilinx A-U250-P64G-PQ-G Alveo U250 Accelerator Card - Passive Cooling

MPN: A-U250-P64G-PQ-G
Out of Stock
Highlights
$10,734.07
Please log in to add an item to your wishlist.
Non-cancelable and non-returnable
B2B pricing options available.

SabrePC B2B Account Services

Save instantly and shop with assurance knowing that you have a dedicated account team a phone call or email away to help answer any of your questions with a B2B account.

  • Business-Only Pricing
  • Personalized Quotes
  • Fast Delivery
  • Products and Support
Need Help? Let's talk about it.
Please log in to add an item to your wishlist.
Xilinx A-U250-P64G-PQ-G Alveo U250 Accelerator Card - Passive Cooling
MPN: A-U250-P64G-PQ-G

$10,734.07

Non-cancelable and non-returnable

Xilinx A-U250-P64G-PQ-G Alveo U250 Accelerator Card - Passive Cooling

Out of Stock
Highlights

Xilinx® Alveo™ U250 Data Center accelerator cards are designed to meet the constantly changing needs of the modern Data Center, providing up to 90X higher performance than CPUs for key workloads, including machine learning inference, video transcoding, and database search & analytics. Built on the Xilinx 16nm UltraScale™ architecture, Alveo accelerator cards are adaptable to changing acceleration requirements and algorithm standards, capable of accelerating any workload without changing hardware, and reducing overall cost of ownership.

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 (SDAccel™) and Machine Learning Suite provide the tools for developers to bring differentiated applications to market.

Key Features & Benefits

Fast - Highest Performance

  • Up to 90X higher performance than CPUs on key workloads at 1/3 the cost
  • Over 4X higher inference throughput and 3X latency advantage over GPU-based solutions

Adaptable - Accelerate Any Workload

  • Machine learning inference to video processing to any workload using the same accelerator card
  • As workload algorithms evolve, use reconfigurable hardware to adapt faster than fixed-function accelerator card product cycles

Accessible - Cloud <-> On-Premises Mobility

  • Deploy solutions on the cloud or on-premises interchangeably, scalable to application requirements
  • Applications available for common workloads, or build your own with the application developer tool