Singapore, September 2026 — TuringData announced its partnership with Redington, its regional distributor, during Redington’s Global NEXT Summit 2026 in Singapore.
The partnership marks an important step in expanding access to TuringData’s AI-native data infrastructure solutions for enterprises across the region. As organisations move from AI pilots to production-scale deployment, the infrastructure behind AI workloads is becoming increasingly critical — from accelerating data access and improving GPU utilisation to supporting more cost-efficient training and inference.
Through this partnership, Redington will bring TuringData’s AI storage technology to a broader enterprise and partner ecosystem. Together, the two companies aim to help organisations address one of the most urgent challenges in enterprise AI: ensuring that data infrastructure can keep pace with increasingly demanding AI workloads.
During the event, TuringData also joined the panel discussion on Data Availability and Resilient AI Infrastructure, sharing perspectives on how AI-native storage can help enterprises build a stronger foundation for production AI.
“The AI stack isn't just GPUs and networking anymore. Customers need partners who can architect the entire data path around those GPUs,” said Nikhil Madan, VP of Global Business at TuringData. “Our partnership with Redington allows us to work more closely with enterprises and partners across the region to help them build the foundation needed for production AI.”
TuringData’s solutions are designed to support modern AI workloads across both training and inference. Its AI-native data infrastructure helps keep GPU clusters continuously fed with data, reduce bottlenecks, and improve throughput for large-scale AI environments, including long-context inference, agentic AI and enterprise AI applications.
The partnership with Redington reflects TuringData’s broader commitment to building a strong ecosystem around AI infrastructure. By combining TuringData’s technology with Redington’s regional distribution capabilities and partner network, the collaboration will help enterprises move AI from experimentation to measurable business impact.