体育投注网Achieves throughput using high-batch size. Must wait for all inputs to be ready before processing, resulting in high latency.
体育投注网Achieves throughput using low-batch size. Processes each input as soon as it’s ready, resulting in low latency.
体育投注网Optimized hardware acceleration of both AI inference and other performance-critical functions by tightly coupling custom accelerators into a dynamic architecture silicon device.
This delivers end-to-end application performance that is significantly greater than a fixed-architecture AI accelerator like a GPU; because with a GPU, the other performance-critical functions of the application must still run in software, without the performance or efficiency of custom hardware acceleration.
Xilinx delivers the highest throughput at the lowest latency. In standard benchmark tests on GoogleNet V1, the Xilinx Alveo U250 platform delivers more than 4x the throughput of the fastest existing GPU for real-time inference. Learn more in the whitepaper: Accelerating DNNs with Xilinx Alveo Accelerator Cards
体育投注网AI Inference performance leadership with Vitis AI Optimizer technology.
体育投注网Optimization/Acceleration Compiler Tools