Tech Data Advanced Private Limited, a TD SYNNEX company, has signed a strategic distribution agreement with NVIDIA to bring the chipmaker’s full-stack data centre and enterprise AI solutions to India. The collaboration is set to strengthen India’s AI ecosystem by enabling local businesses to more easily adopt and scale artificial intelligence initiatives.
NVIDIA Tools to Be Distributed Nationwide
Under the agreement, Tech Data will offer Indian customers access to NVIDIA’s advanced portfolio, including its data centre GPUs and AI development software. This includes the CUDA-X libraries—tools built to accelerate data processing and machine learning workflows—and NVIDIA NIM microservices, which are designed to simplify the creation of AI assistants and productivity applications.
With this move, Tech Data aims to address infrastructure gaps and fast-track AI deployment across industries such as healthcare, financial services, retail, and manufacturing.
Local Ecosystem, Global Momentum
Tech Data plans to leverage its extensive local partner network to support customers and speed up market access for NVIDIA’s offerings. The company will also draw on recent alliances, including its partnership with Dell’s AI Factory, to integrate and extend the reach of AI tools for Indian businesses.
Also read: Nvidia to Launch Quantum Lab in Boston
The distribution partnership is already active in Europe and North America, and its extension to India is a key part of Tech Data’s broader “Destination AI” initiative, which aims to make enterprise AI more accessible and scalable through collaborative ecosystems.
NVIDIA’s New AI Supercomputers
The announcement follows NVIDIA’s launch of two new personal AI supercomputers—DGX Spark and DGX Station—at its GTC 2025 event. Powered by the Grace Blackwell platform, these systems are tailored for developers, researchers, and students who require robust computing power for large language model development and AI experimentation.
These systems can run workloads locally or deploy seamlessly to cloud environments, further supporting India’s growing developer and research communities in AI.
