📝 Speedata raises $44M

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Speedata, an Israeli startup developing a specialized Analytics Processing Unit (APU), has raised $44 million to scale a chip purpose-built for data analytics — and economists and technologists alike are taking note. Unlike general-purpose CPUs or retrofitted GPUs, Speedata’s APU is engineered from the ground up to overcome computational bottlenecks in big data workloads. Economists see this as a potentially transformative shift: the ability to process complex datasets in minutes instead of hours or days could drive significant productivity gains across industries. By cutting hardware needs, energy consumption, and compute time, the APU could reduce infrastructure costs for companies and supercharge sectors like pharmaceuticals, finance, and AI, where data processing is a bottleneck. With an upcoming debut at the Databricks Data & AI Summit, Speedata aims to position its APU as the GPU-equivalent standard for analytics — a play that, if successful, could have ripple effects across the global data economy.

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