Adaptable Accelerator Cards for
Data Center Workloads

Available Now >


Acceleration for Dynamic Workloads



  • Up to 90X higher performance than CPUs1 on key workloads at one-third the cost2
  • Over 4X higher inference throughput3 and 3X latency advantage over GPU-based solutions4


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


Cloud ↔ On-Premises

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

Accelerator Cards for Production

Accelerator Cards That Fit Your Performance Needs


Alveo U25N

The Alveo U25N SmartNIC delivers a true convergence of network and security acceleration functions, including OVS and IPsec, into a single platform.

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Alveo U30

The Alveo U30 media accelerator card provides low latency video processing (32ms for 4Kp60) for live streaming, supporting mainstream H.264 and H.265 standards and also available on the AWS cloud for evaluation or deployment.

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Alveo MA35D

The Alveo MA35D delivers ultra-low latency (8ms for 4Kp60) video processing for live streaming, supporting the next-generation​ AV1 codec standard and mainstream H.264 and H.265 formats.

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Alveo U45N

Alveo U45N

The 2x 100G Alveo U45N network accelerator offloads server CPUs from infrastructure workloads in the data center. FPGA designers can implement custom OVS, IPsec ,and other functions with the ability to adapt to evolving use cases.

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Alveo U50

Delivers compute, networking, and storage acceleration in an efficient 75-watt, small form factor, and armed with 100 GbE networking, PCIe Gen4, and HBM2. Designed to deploy in any server.

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Alveo U55C

Built for HPC and Big Data applications, the Alveo U55C accelerator is the most powerful Alveo card ever from AMD.

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Alveo U200

Incredible compute, networking, and storage acceleration thanks to 890k LUTs, 5.9k DSP slices, 64GB of DDR4 memory, and dual 100Gbps network interfaces.

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Alveo U250

Offers 1.3M LUTs, 11.5k DSP slices, 64GB of DDR4 memory, dual 100Gbps network interfaces, and delivers 90x higher performance than CPUs on key workloads at a fraction of the costs.

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Alveo X3 Series

For trade execution and risk management, the Alveo X3 series offers low latency NICs for turnkey deployment as well as adaptable accelerator cards for custom Fintech solutions.

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Alveo UL3524

Purpose-built for electronic trading, the Alveo UL3524 FPGA accelerator features a breakthrough transceiver architecture for trade execution at nanosecond speed.

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Accelerator Card for Development

VCK5000 Versal Development Card

VCK5000 Versal Development Card

The VCK5000 development card is powered by Versal adaptive SoCs featuring AI Engines for ML inference and advanced signal processing and is designed for data center, 5G, radar, and other compute-intensive applications. The VCK5000 is a high-power development platform for CNN, RNN, and NLP acceleration for your cloud and edge applications.

Alveo™ V70 Development Card

Alveo™ V70 Development Card

The Alveo™ V70 accelerator card is the first low-profile AMD Alveo production card leveraging XDNA™ architecture with AI Engines. Providing low power and a small form factor, the V70 helps reduce cost per AI channel and provides high channel density for video applications allowing you to meets your demanding AI performance requirements. The card also comes with industry standard framework support, directly compiling models trained in TensorFlow and PyTorch


For FPGA Developers

Traditional FPGA design flows are supported on Alveo accelerator cards using the Vivado™ Design Suite. Developers can easily get started with a pre-validated base design that maps directly to Alveo hardware and access pre-optimized building blocks in the Vivado IP catalog.


For Software Developers

The Vitis™ Unified Software Platform allows software developers to design hardware accelerators on Alveo cards using C, C++, or OpenCL. Designers can also leverage a set of pre-optimized libraries to quickly create an accelerated application without needing FPGA expertise.


1 BlackLynx Elasticsearch on Alveo versus EC2 c4.8xlarge

2 Based on CAPEX & OPEX savings for DNN inference on Alveo accelerator cards vs dual-socket Intel Xeon Platinum servers

3 Source: Accelerating DNNs with Alveo Accelerator Cards White Paper

4 Measured on CNN+BLSTM Speech-to-Text ML inference against Nvidia P4