Hewlett Packard Enterprise Intel FPGA PAC D5005 32 GB GDDR5

Hewlett Packard Enterprise Intel FPGA PAC D5005. Discrete graphics card memory: 32 GB, Graphics card memory type: GDDR5. Interface type: PCI Express x16 3.0. Cooling type: Passive

Does your data center need to increase productivity, optimize Total Cost of Ownership (TCO), and improve ROI? Intel® Field Programmable Gate Array (FPGA) accelerators can help facilitate many of the core data center workloads that process the growing volume of data that our hyperconnected world creates. They can be reprogrammed in a fraction of a second with a data path that exactly matches your workloads such as data analytics and financial algorithm testing. This versatility results in a higher performing, more power efficient, and well-utilized data center – lowering your total cost of ownership (TCO). Intel's FPGAs provide flexibility and can connect directly to processors, memories, networks, and numerous other interfaces. Traditionally, FPGAs require deep domain expertise to program, but the Intel Acceleration Stack simplifies the development flow, and enables rapid deployment across the data center. Features Increase Productivity - Intel FPGA accelerators provide faster time to solution with their ability to accelerate specific workloads, such as database queries, Big Data analytics, and financial services industry (FSI) back-testing simulations. - Eliminate in-house application development and maintenance with the availability of third party solutions, allowing users to focus on problem solving and innovation instead of programming. Improve ROI - Intel FPGA accelerators extends the service life of existing servers by increasing their performance and their ability to handle new workloads over longer periods of time. - Intel FPGA PAC cards can switch between programs in real time, allowing acceleration of many different workloads with one card. Optimize TCO - Intel FPGAs provides workload acceleration while offering excellent power efficiency. - Intel FPGA lowers CAPEX spending for upgrades since they are reprogrammable and can be easily upgraded with new algorithms for enhanced performance, to comply with new standards, or to offer new functionality.