Fast
Highest Performance
- 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
- 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
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 Fastter than fixed-function accelerator card product cycles
Accessible
Cloud ↔ On-Premises Mobility
- 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
Accelerator Cards For Razor Sharp Performance
Industry’s first fully software defined, fully hardware accelerated SmartNIC.
Ultra-high throughput, small packet performance and low-latency offload SmartNIC.
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.
Incredible compute, networking, and storage acceleration thanks to 890k LUTs, 5.9k DSP slices, 64GB of DDR4 memory, and dual 100Gbps network interfaces.
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.
Built for compute and memory bound workloads and is armed with 8GB of HBM2 + 32GB of DDR4 memory, 1.1M LUTs , 8.5k DSP slices, dual 100Gbps network interfaces, PCIe Gen4, and support for CCIX.
Real-Time Servers
Introducing the Xilinx Real-Time Video Server appliance reference architectures. Powered by Alveo™ accelerator cards, Xilinx delivers breakthrough live video streaming performance at the lowest cost per channel for significant TCO savings over fixed-architecture approaches, without altering existing infrastructure.