Two Products. One Unified Platform.
GPU compute rental and an in-memory database designed to work together — so your AI pipelines run without bottlenecks from training through production.
Enterprise-grade GPU compute, on demand
Access the latest NVIDIA GPU hardware without capital expenditure. RapidsDB's GPU fleet is housed in Tier-3 data centres with redundant power, cooling, and 400Gbps networking — ready to provision in minutes.
A database built for GPU compute clients
RapidsDB's in-memory engine stores the data your GPU workloads need most — feature vectors, model metadata, inference results, and real-time telemetry — with sub-millisecond latency and full transactional integrity.
100% in-memory architecture
All active data lives in RAM with intelligent NVMe tiering. Zero disk I/O on the critical path means consistent, predictable latency at any query complexity.
Full ACID transactions
Multi-version concurrency control with serialisable isolation. RapidsDB never sacrifices consistency for speed.
ANSI SQL + vector search
Standard SQL for relational workloads, plus native vector similarity search for embedding stores and nearest-neighbour retrieval.
Native GPU memory integration
Zero-copy data transfer between GPU HBM and RapidsDB's memory pool. Eliminate PCIe round-trips on the hot path.
Horizontal scale-out
Distribute data across nodes with automatic sharding and replication. Linear throughput scaling as you add capacity.
Real-time streaming ingest
Ingest Kafka, Kinesis, or custom event streams directly into RapidsDB at millions of events per second.
See the platform in action
Our engineers will walk you through GPU provisioning and database sizing for your specific workload.