The right infrastructure for every demanding workload
Whether you're training foundation models, running real-time risk engines, or managing millions of active subscribers — RapidsDB has the GPU compute and data infrastructure to match.
AI & Machine Learning
From experiment to production without infrastructure friction
AI teams need elastic GPU capacity for training runs and a fast data layer for feature serving and model metadata. RapidsDB provides both — so you spend time on models, not infrastructure.
- GPU availability bottlenecks slow training iteration cycles
- Feature stores and vector databases add latency to inference pipelines
- Managing separate compute and data vendors increases operational overhead
- On-demand H100 and A100 clusters provisioned in minutes
- Sub-millisecond vector search and feature lookups from in-memory store
- Unified compute + data platform with single-pane management
Financial Services
Real-time risk, fraud detection, and algorithmic trading
Financial workloads demand microsecond data access and GPU-accelerated risk models. RapidsDB's in-memory engine handles market data, position books, and risk calculations at the speed the market demands.
- Batch-based risk calculations create dangerous blind spots between runs
- Fraud detection models require real-time feature enrichment at transaction time
- GPU-accelerated quant models need low-latency access to market data
- In-memory position and risk data with sub-millisecond read latency
- GPU rental for Monte Carlo simulations and ML-based fraud scoring
- Streaming market data ingest at millions of ticks per second
Telecommunications
Network analytics and subscriber management at carrier scale
Telcos manage hundreds of millions of active sessions and need real-time network analytics, subscriber data, and AI-driven network optimisation. RapidsDB scales to carrier-grade volumes without compromise.
- Subscriber databases struggle under concurrent session volumes
- Network anomaly detection requires GPU-accelerated ML at the edge
- Real-time billing and policy enforcement demand consistent sub-millisecond lookups
- In-memory subscriber store handling 500M+ concurrent sessions
- GPU nodes for real-time network traffic classification and anomaly detection
- Streaming ingest for CDRs, signalling data, and network telemetry
Enterprise & Cloud
Operational intelligence and real-time data for the modern enterprise
Enterprise teams replacing overnight batch jobs with live operational intelligence — IoT telemetry, supply chain analytics, and real-time dashboards — find RapidsDB's combination of GPU compute and in-memory data uniquely suited to their needs.
- Overnight batch jobs mean decisions are made on yesterday's data
- IoT and sensor data volumes overwhelm traditional OLTP databases
- AI-powered analytics require GPU capacity that's expensive to own
- Real-time operational dashboards powered by in-memory query engine
- GPU rental for AI-driven supply chain and demand forecasting models
- High-throughput IoT data ingest with millisecond query response
Find the right solution for your workload
Our solutions team will map RapidsDB's GPU and database capabilities to your specific requirements.