Rapids Insight + Rapids Manager
Intelligent data visualization and digital-brain visual management.
RapidsDB
AI Big Data
RapidsDB Company Profile V2.4
World Leading Real-time AI Big Data Analytics Platform.
Company profile
Founded in 2021 with presence in Silicon Valley (USA) and Singapore.
RapidsDB is an industry leader in the research and development of big data real-time processing and analysis, providing advanced and innovative big data technology, products, services, and total solutions to the global market.
The RapidsDB Unified Analytics Platform is an integrated real-time, AI-based, big data analytics AI platform that can be deployed in data centres.
RapidsDB offers a fully parallel, distributed, in-memory federated query system designed to support complex analytical SQL queries where data can reside across multiple source stores, producing integrated results at ultra-fast speed.
A pluggable connector-based framework, streaming data processing engine, and AI-enabled computing engine help enterprises build future-oriented data pipelines with high performance and cost effectiveness.
Reference clients
V2.4 highlights reference clients across Singapore and Indonesia, including public sector, technology, and industry solution partners.
Products matrix
The V2.4 product matrix organizes RapidsDB into five layers: data intelligence, analytics and mining, processing, storage, and integration.
Intelligent data visualization and digital-brain visual management.
AI-in-database framework and machine learning modeling platform.
Distributed in-memory database, streaming database, and acceleration chip.
Platform storage foundation for large-scale analytics workloads.
Multi-source federated real-time analytics connectors and SQL routing.
Features and benefits
AI native acceleration
V2.4 shifts the technical emphasis toward AI-native database acceleration, vector similarity search, and high-bandwidth GPU execution.
GPU acceleration leverages thousands of specialized cores to perform matrix operations and vector similarity searches simultaneously.
High Bandwidth Memory (HBM) feeds data to compute units at rates exceeding 2TB/s in modern accelerators.
Native tensor operations inside the database engine unify training, inference, and storage.
Performance
Query execution times for large-scale joins and vector scans show exponential gains on GPU hardware.
Applications
The platform supports low-latency analytics for financial services, telecommunications, energy, retail, online gaming, traffic, autonomous systems, fraud detection, and geospatial AI.
Thank You
www.rapidsdb.co