Bengaluru-based Turiyam AI has announced a strategic partnership with Tokyo-headquartered NTT Global Data Centers to host and scale its next-generation AI inference servers within NTT’s global data centre infrastructure.
“The collaboration will see Turiyam deploy its next-generation inference servers within NTT’s data centre facilities, enabling enterprises to run advanced AI applications with improved speed, energy efficiency and security,” the company said in a statement.
Under the agreement, Turiyam AI will roll out ultra-efficient, low-latency inference infrastructure aimed at enabling enterprises across India to operate advanced AI workloads at scale. The deployment is designed to deliver enhanced performance, stronger security, improved energy efficiency, and high reliability for mission-critical applications.
Turiyam AI focuses on specialised AI inference computing, the phase of the AI lifecycle where trained large language models process real-time data and generate outputs. As enterprises increasingly shift from building large language models to deploying them in production environments, the demand for dedicated inference infrastructure has grown steadily.
The company’s proprietary server architecture is engineered specifically for inference workloads, offering higher throughput and lower power consumption compared with conventional general-purpose GPU clusters. This infrastructure is built to support applications such as imaging, video analytics, audio processing, and language models that require low latency and consistent uptime.
With India emerging as one of the fastest-growing AI markets globally, demand for scalable, localised, and sovereign AI processing capabilities is accelerating. Organisations are moving quickly to operationalise AI models for real-world use cases, increasing the need for dependable Inference-as-a-Service capabilities.
By hosting its advanced inference hardware within NTT GDC’s globally trusted data centre platform, Turiyam AI aims to provide enterprises with a turnkey pathway to deploy and scale AI solutions securely and efficiently, redefining how AI deployment is executed at scale.
