Data is growing in volume, rate, complexity, lack of structure and variability. This is creating large-scale analytics problems. These are mainly characterized by excessively long query response times, quality limitations and increased IT expenses, affecting business operations requiring real-time execution.
A middleware providing applications a clean, hardware-agnostic interface to FPGA and GPU platforms in the data center and the cloud:
Assess performance gains, costs and savings when migrating applications to accelerators.
Connect business applications with FPGA and GPU technology
Accelerate complex data analytics and machine learning applications
Accelerate performance-critical operations in databases
Handle large-scale IoT infrastructure with FPGAs at the network edge