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Speedata, a chip startup competing with Nvidia, raises a $44M Series B
Speedata, a Tel Aviv-based startup developing an analytics processing unit (APU) designed to accelerate big data analytic and AI workloads, has raised a Founded by six researcher, Speedata wants to build the first-ever purpose-build chip designed specifically for big data workloads.
The founders collaborated with ASIC design experts to address a fundamental problem: data analytics were being performed by general-purpose processors. Its APU currently targets Apache Spark workloads, but its roadmap includes supporting every major data analytics platform, according to the company CEO. Speedata claims a specific case where its APU completed a pharmaceutical workload in 19 minutes, which was significantly faster than the 90 hours it took when using a non-specialized processing unit, resulting in a 280x speed improvement.
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