CLOUD COMPUTING
With the expansion of cloud computing requirements year by year， FPGAS brings table uninstall function at the hardware level, thus significantly improving the overall performance of the system.
MACHINE L .EARNING
With the penetration of incoming intelligence into the data
center, the application scope of machine learning is constantly
developing and expanding every year.
STORAGE APPLICATION
Today's data centers need efficient storage systems to achieve
maximum performance.
ENTERPRISE
The use of FPGA implementation in enterprise applications
accelerates the workload of designing solutions, including
oil and gas, genomics, video traniscoding, and sO on.
FINANCE | HPC
In the financial field, software- based algorithms and analysis
can be unloaded to FPGA hardware to reduce latency. In
high-performance computing, parallel tasks that may cause
CPU performance degradation can be transferred to FPGA, thereby
reducing CPU overhead and system latency.