Speedata, a startup from Tel Aviv, has successfully secured $44M in Series B funding, totaling $114M in raised capital. The funding round saw participation from various leading investors, and the company aims to revolutionize data analytics through its specialized analytics processing unit (APU). Unlike GPUs, which are general-purpose, Speedata's APU addresses specific inefficiencies in data processing, allowing businesses to perform complex analytic tasks more efficiently. Founded in 2019 by researchers in Coarse-Grained Reconfigurable Architecture, the company aims to minimize energy consumption while maximizing performance by reducing the infrastructure required for data analytics.
"For decades, data analytics have relied on standard processing units, and more recently, companies like Nvidia have invested in pushing GPUs for analytics workloads... Our APU is purpose-built for data processing and a single APU can replace racks of servers, delivering dramatically better performance."
"We saw this as an opportunity to put our decades of research in silicon into transforming how data analytics are performed, addressing the inefficiencies present in traditional setups."
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