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India’s Turiyam AI to Host Inference Servers in NTT Global Data Centers
Turiyam AI will host its inference servers inside NTT GDC facilities, offering enterprises a domestically anchored, low-latency path to deploy AI workloads at scale.

The India-based AI compute startup will host its inference servers inside NTT GDC facilities, offering enterprises a domestically anchored, low-latency path to deploy AI workloads at scale.
Turiyam AI, an India-based company focused on high-performance AI inference computing, on Tuesday announced a strategic partnership with NTT Global Data Centers (NTT GDC) to host and scale its next-generation inference servers within NTT’s data center facilities. The announcement positions the company as part of a growing effort to build localized, sovereign AI infrastructure in India as enterprise demand for AI processing continues to accelerate.
The partnership gives Turiyam AI a deployment home for its proprietary inference hardware, servers designed specifically for the inference phase of the AI lifecycle, where trained models process live data and make predictions. The company claims its architecture delivers higher throughput and lower power consumption than general-purpose hardware used for equivalent workloads. By placing this hardware inside NTT GDC’s facilities, Turiyam’s enterprise customers gain access to what the companies describe as a turnkey path to deploy and scale AI applications with minimal latency and enterprise-grade security.
Turiyam’s AI hardware, combined with NTT GDC’s secure, scalable and sustainably designed data center platform, creates a powerful foundation for real-time AI innovation.”
Alok Bajpai, Managing Director India, NTT Global Data Center
The partnership covers four areas: low-latency performance for real-time applications including imaging, video, audio, and language models; sustainable compute through NTT GDC’s renewable energy infrastructure aligned with Turiyam’s energy-efficient hardware design; physical and cybersecurity protocols that keep sensitive inference data protected; and scalability that allows customers to move from pilots to full-scale deployments through NTT GDC’s existing global footprint.
The announcement comes as India’s AI infrastructure gap has become a focal point for both policy and private investment. Most enterprise-grade AI compute in India today is routed through hyperscaler cloud platforms, which are predominantly foreign-hosted. Partnerships like this one, placing Indian inference hardware in certified, globally trusted facilities, represent a middle path between building entirely domestic infrastructure and relying entirely on offshore cloud capacity.
Our mission at Turiyam AI is to make AI inference faster and more accessible. Partnering with NTT Global Data Centers allows us to place our hardware in the most sophisticated facilities in the world.
Sanchayan Sinha, Founder & CEO, Turiyam AI
Inference as the Next Infrastructure Battleground
The timing reflects a broader shift in how AI infrastructure is being thought about. For much of the past three years, the primary focus has been on training compute, the massive GPU clusters used to build large language models. As those models move into production, the bottleneck is shifting to inference: the continuous, real-time processing required to run AI applications at enterprise scale. Inference-as-a-Service has emerged as a distinct market category, and Turiyam is positioning itself specifically within that space with hardware optimised for that phase rather than training.
NTT Global Data Centers is the data centre arm of NTT, the Japanese telecommunications conglomerate. NTT GDC operates facilities across multiple markets globally and has been expanding its India presence in response to growing regional demand for AI-capable data centre capacity. Alok Bajpai, Managing Director of NTT GDC India, described the collaboration as enabling enterprises to deploy advanced AI workloads with the speed, reliability, and efficiency needed in an AI-driven market.
No financial terms, contract duration, or specific facility locations were disclosed in the announcement. Details on pricing or commercial availability were not provided.
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