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Speedata, a chip startup competing with Nvidia, raises a $44M Series B
Speedata, a Tel Aviv-based chip startup specializing in analytics processing units (APUs), raised $44M in Series B funding, bringing total capital to $114M. The APU, designed to outperform traditional GPUs for data analytics, targets big data and AI workloads. CEO Adi Gelvan announced a product launch at the Data & AI Summit, highlighting a 280x performance improvement in specific use cases.
Key points
- Speedata raised $44M in Series B funding led by existing investors, totaling $114M raised.
- The APU is designed specifically for big data analytics, unlike traditional GPUs.
- CEO Adi Gelvan emphasized the APU's potential to dramatically improve performance.
- The APU can replace racks of servers, addressing significant bottlenecks in data processing.
- Speedata's APU is currently targeting Apache Spark workloads, with plans to support more platforms.
- A specific case showed a task completed in 19 minutes by the APU, compared to 90 hours with standard processors.
Why it matters
- The growth of AI and big data analytics has led to increased demand for specialized computing solutions.
- The trend toward dedicated hardware for specific workloads follows similar movements seen with GPUs in AI.
- Speedata's focus on efficiency and performance aligns with emerging IT trends prioritizing energy-efficient processing and rapid data handling by 2025.
With its APU technology and significant funding, Speedata aims to position itself as a leader in the analytics processing space, potentially transforming data workloads just as GPUs did for AI.