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Hyperspace is using 'domain-specific computing' to accelerate database searches | TechCrunch

Aug 07, 2024 - news.bensbites.com
Hyperspace, a company co-founded by Ohad Levi, is using "domain-specific computing" to accelerate lexical and vector searches in databases, which is particularly beneficial for generative AI applications. The company's instances, which use a combination of FPGAs and GPUs, can reportedly deliver searches up to 10 times faster than traditional databases. Hyperspace offers a cloud-native managed database that works on a software-as-a-service model, handling various types of structured and unstructured data, and is priced according to size and query volume.

Despite competition from established platforms like Azure, AWS, and Google Cloud, Hyperspace has gained early customer traction, securing deals with enterprises in fraud prevention and e-commerce, and tripling its annual recurring revenue and total contract volume over the last year. The company recently raised $9.5 million in seed funding and plans to use the funds to scale up its database offering and launch a free, entry-level plan.

Key takeaways:

  • Hyperspace, co-founded by Ohad Levi, is using "domain-specific computing" to accelerate lexical and vector database searches, which are crucial for AI applications.
  • The company's instances, which use a combination of FPGAs and GPUs, can reportedly deliver up to 10 times faster searches than traditional databases.
  • Hyperspace offers a cloud-native managed database as a software-as-a-service model, handling various types of structured and unstructured data, and is priced according to size and query volume.
  • The company recently closed a $9.5 million seed funding round and plans to use the funds to scale up its database offering and launch a free, entry-level plan.
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