TechCrunch Startup News Speedata, a chip startup competing with Nvidia, raises a $44M Series B
Jun 4, 2025
A Tel Aviv-based startup has entered the race against tech giants by raising $44 million for its innovative analytics processing unit. The new APU promises to supercharge big data analytics and AI workloads, offering a dedicated solution that challenges traditional processing units. With a total of $114 million raised, this startup is set to make waves in the tech industry.
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Purpose-Built APU for Data
- Speedata's APU is purpose-built for data processing unlike GPUs designed initially for graphics.
- One APU can replace racks of servers, offering dramatically better performance for big data and AI workloads.
Founders' Vision and Background
- Six founders, including early CGRA researchers, created Speedata to solve data analytics inefficiencies.
- They believed a dedicated processor could handle complex workloads faster with less energy than many servers.
APU As Future Analytics Standard
- Speedata aims for its APU to be the standard processor for all data analytics platforms.
- It aspires to the same ubiquity GPUs have achieved with AI training workloads.