Molex’s BittWare adds open compute M.2 accelerator

These feature-rich, dense servers are favored by hyperscale and cloud companies striving to improve the performance density and energy-efficiency of machine learning platforms.

The 250-M2D features a fully programmable Xilinx Kintex UltraScale+ FPGA directly coupled to two banks of local DDR4 memory. It can be wholly programmed by customers developing in-house capabilities, or delivered as ready-to-run pre-configured solutions featuring application IP from Eideticom, a recognized leader in the fast growing Computational Storage market.

These innovative solutions can be purchased directly from BittWare’s parent company, Molex, who services many of the world’s largest data center customers. A version specifically for recommendation models, complete with software for easy integration from deep learning frameworks, is available from Myrtle.ai.

“Our continued investment in NVMe-based Computational Storage products, plus exciting collaborations with application experts such as Myrtle.ai, will help our customers innovate quicker and with lower risk,” said Craig Petrie, vice president marketing at BittWare. “FPGAs offer unique and valuable capabilities. It is essential that there is a supplier who can deliver and support higher-quality volume deployments. BittWare, as a part of Molex, is in the unique position to drive technology advancements while simultaneously delivering enterprise-class product.”

“When co-designing the hardware and software for our deep learning based recommendation model accelerator, SEAL, we selected BittWare, part of the Molex group of companies," added Peter Baldwin, CEO at Myrtle.ai. "It was a clear choice to take what we'd designed to volume. BittWare had the technical expertise to deliver an enterprise-class product and, with Molex's global logistics, there was an established channel to support volume hardware for hyperscaler and Tier 1 customers.”