Kinetica 🤝 NVIDIA
Kinetica leverages CUDA and NVIDIA GPUs to provide the optimal performance for today’s complex real-time analytics. NVIDIA cuVS and RAPIDS RAFT for higher throughput and lower latency search for its realtime applications
Key NVIDIA Integrations
Enhance data processing and machine learning capabilities with seamless integration of RAPIDS RAFT for graph analytics and cuVS for accelerated vision applications.
Fast Vectorized Analytics
Kinetica stores data in fixed-size blocks called vectors, and queries run in parallel on these vectors across thousands of (NVIDIA) CUDA cores, rather than on individual data elements. This enables the query engine to process many data elements at once, delivering faster execution, better performance, and lower cost of ownership.
Low-latency Search
Kinetica uses NVIDIA cuVS and RAPIDS RAFT for higher throughput and lower latency search for its realtime applications. Vector search results can also be combined with SQL results to improve the quality of generative AI results. NVIDIA cuVS contains state-of-the-art ANN search algorithms that can be indexed in a fraction of the time compared to traditional CPUs
Generative ΑΙ
Kinetica can also orchestrate embedding generation within the database through SQL. Developers can use NVIDIA NIM (NVIDIA Inference Microservices) and embedding models such as embed-qa-4 by defining a Remote Model in SQL and calling the GENERATE_EMBEDDINGS table function during streaming or batch data ingestion.
Results
Kinetica delivers up to blazing faster query performance and 14x lower data latency – enabling instant insights on fresh data for mission-critical workloads.
Kinetica is 9x faster than its nearest competitor Clickhouse at similar TCO.
Kinetica delivers blazing fast analytics on real-time data by leveraging NVIDIA technology on modern GPUs and CPUs. Its performance is also price competitive because it is able to do more with less hardware.
Kinetica has 5-14x better data latency
Kinetica outperforms its competitors by achieving significantly faster load times, demonstrating its efficiency in handling large-scale datasets with millions of vectors. This makes Kinetica a strong choice for latency- sensitive applications.
Key Use Cases
Kinetica accelerates decision-making in real-time trading, risk management, fraud detection, insurance, defense, and telecommunications all powered by GPU-driven analytics.
Reduce Portfolio Risk
Real-time analytics keeps risk models updated with live data, enabling instant responses and reducing reliance on batch processes to minimize unexpected losses.
Fraud Detection with Multi-Model & Graph Analytics
Enhance AML and fraud detection with RAG, Vector Search, and advanced analytics to improve case generation, reduce workload, and cut false positives with Kinetica.
Resolve Telco customer Issues 4X Faster
Leverage real-time analytics and GPU-powered processing to optimize network performance, boost customer experience, and enhance predictive maintenance in telecom.
Talk to Us!
The best way to appreciate the possibilities that Kinetica brings to high-performance real-time analytics is to see it in action.
Contact us, and we’ll give you a tour of Kinetica. We can also help you get started using it with your own data, your own schemas and your own queries.
