BittWare Extends IA-Series of Intel® Agilex™ FPGA-based Accelerator Product Line to Address Data-Intensive Compute, Network and Storage Workloads

BittWare, a Molex company, a leading supplier of enterprise-class accelerators for edge and cloud-computing applications, today announced the expansion of its IA-Series of FPGA accelerators featuring Intel® Agilex™ FPGAs. The BittWare IA-Series of FPGA accelerators are designed to help customers develop and deploy next-gen edge and cloud applications, with greater flexibility and speed while reducing risk.

The new IA-420F low-profile PCIe card and IA-220-U2 computational storage processor join the IA-840F to provide a choice of three form factors popular in data center and network infrastructure. The trio of products are fully PCIe Gen 4 compliant, and include application reference designs in addition to support for the oneAPI™ programming model, which allows hardware developers the ability to create domain-specific FPGA platforms and application developers to build cross-architecture, single-source compilation designs.

"BittWare is excited to leverage Intel's Agilex technology to support three of the most prevalent accelerator form factors used for data center and network infrastructure," said Craig Petrie, vice president, Sales and Marketing of BittWare. "As a part of Molex, we are uniquely positioned to drive technology innovations in enterprise-class products, which empowers our customers to deploy Intel Agilex FPGA-based solutions at the card and server-level with reduced risk and cost."

According to Gartner's Top 10 Strategic Technology Trends for 2020: Empowered Edge, by 2023, more than 50% of enterprise-generated data will be created and processed outside the data center or cloud, up from less than 10% in 2019.1 FPGAs play an increasing role at the edge where real-time data with critical latency, bandwidth and security requirements need to be processed efficiently. Within the cloud, FPGA heterogeneous computing solutions are required to process vast amounts of both structured and unstructured data efficiently through high-performance computing and big data analytics in order to derive value and orchestrate smart devices in the field.