Overview
The OptimaCloud FPGA Acceleration Platform reduces the time required to build the system software needed to take advantage of FPGA acceleration. It provides a clear REST interface and an abstraction layer, allowing researchers to focus on developing and optimizing custom hardware accelerators rather than rebuilding infrastructure.
Researchers can design and integrate new acceleration cores for workloads such as image and signal processing, machine learning, and data analytics while reusing a common runtime, standardized APIs, and management services. Designed for academic and research environments, the platform supports rapid experimentation, modular design, and scalable, reproducible FPGA computing, resulting in a faster path from academic research to the commercialization of new inventions.
The platform fosters reuse, collaboration, and scalability across research teams and projects. Its standardized interfaces and shared runtime enable consistent benchmarking, efficient hardware utilization, and seamless cooperation between hardware and software researchers. Proven in real world deployments, the platform provides a production ready foundation that reduces risk and accelerates the transition from research to commercial innovation.
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Key Benefits
Accelerates research and innovation.
Enables reuse and collaboration.
Provides a production ready foundation.
Supports scalable computing seamlessly.
Optimizing Images at Scale
Making an impact in the real world, the OptimaCloud FPGA Platform accelerates image optimization for online retailers, enabling billions of images to be compressed faster while reducing cloud costs and streamlining workflows.