TuringData, a New AI Storage Player from Singapore

TuringData builds AI-native data infrastructure designed specifically to solve one of the biggest challenges in modern AI systems: efficiently delivering massive amounts of data to GPUs without bottlenecks.Their core focus is on maximizing GPU utilization by eliminating storage and I/O constraints that slow down AI training and real-time inference.

TuringData provides a distributed, high-performance storage and data delivery platform optimized for AI, machine learning, and generative AI workloads. The system is engineered for extreme throughput, ultra-low latency, and predictable performance at scale, enabling GPUs to remain continuously fed with data. This leads to faster model training, shorter experimentation cycles, and more responsive inference pipelines.

Their offerings include the TuringData Platform, which manages and orchestrates large-scale AI data pipelines; Cache Fabric, a GPU-accelerated caching layer that reduces data access latency; and flash-based storage appliances purpose-built for AI workloads. Together, these components support seamless scaling from petabytes to exabytes of data while maintaining performance consistency.

TuringData emphasizes cost efficiency and deployment flexibility, supporting on-premises, cloud, and hybrid environments. By decoupling performance from capacity and reducing reliance on expensive GPU idle time, the company positions its technology as a foundational layer for enterprises running large AI clusters, high-density GPU farms, and production-grade AI systems.

Overall, TuringData positions itself as an infrastructure provider that enables organizations to train larger models faster, serve AI applications more efficiently, and scale AI operations reliably by solving the data delivery problem at the heart of modern AI computing.

We noticed that the team comes from Yanrong and storage solutions appear to have some links with Yanrong’s products.