NeuroBlade develops a purpose-built SQL Processing Unit (SPU) architecture that enhances data processing speed and efficiency, achieving up to 100x acceleration for complex queries. This technology addresses the limitations of traditional CPU architectures, enabling organizations to analyze petabyte-scale data more effectively while reducing infrastructure costs and power consumption.
Funding
$114.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CVFounders
Product
Problem
Traditional CPU architectures struggle to efficiently process the increasing volume of data, leading to slow query processing and limiting the ability of organizations to derive timely insights from petabyte-scale datasets. This results in system bottlenecks, increased infrastructure costs, and high power consumption.
Solution
NeuroBlade addresses these challenges with its purpose-built SQL Processing Unit (SPU) architecture, designed to accelerate data analytics workloads. The SPU overcomes the limitations of traditional CPUs by eliminating system bottlenecks and processing queries at the speed of I/O, regardless of complexity. This innovative technology enables organizations to achieve significant price-performance improvements, unlocking valuable insights from their data while reducing infrastructure costs and power consumption. NeuroBlade's solution integrates seamlessly into existing analytics platforms without requiring changes to data, queries, or code.
Target Audience
NeuroBlade targets organizations dealing with large-scale datasets, including those in healthcare, finance, and federal sectors, that require accelerated query processing for business intelligence, data warehousing, and data lake analytics.
Features
- Purpose-built SQL Processing Unit (SPU) architecture optimized for data analytics.
- Hardware Enhanced Query System (HEQS) that integrates multiple SPUs for enhanced scalability and performance.
- High-bandwidth NVMe flash storage and PCIe Gen 4.0/5.0 networking for optimal query execution.
- DAXL (NeuroBlade Data Analytics eXecution Language) for efficient data processing.
- Seamless integration with existing analytics platforms and database query engines.
- Demonstrated up to 100x acceleration of analytics workloads.
- Reduces TCO by up to 10x and power usage by up to 85%.