Team Computers announced a strategic partnership to make enterprise-grade Artificial Intelligence (AI) accessible, scalable, and affordable for businesses across the country.
The alliance brings together Team Computers’ industry expertise across BFSI, healthcare, government, and manufacturing with Yotta’s GPU-powered Shakti Cloud and hyperscale infrastructure, creating a joint platform for rapid AI deployment in India. The partnership is expected to significantly lower the barriers to AI adoption for enterprises that are seeking digital transformation at speed and scale.
NASSCOM projects India’s AI market to surpass USD 17 billion by 2027, expanding at a CAGR of 25%, and the Team Computers - Yotta partnership is well-positioned to capture a major share of this rapidly growing opportunity.
Key focus areas include:
AI-as-a-Service (AIaaS): Ready-to-use solutions with bundled compute, tools, and services.
AI Infrastructure at Scale: Hyperscale GPU resources for enterprises with complex AI workloads.
Use-Case Enablement: Sector-specific solutions including NLP, fraud detection, diagnostics, predictive maintenance, and document AI.
GenAI Development: Co-creating Indic language models and domain-specific GenAI applications on Shakti Cloud.
"India’s AI journey needs infrastructure that’s not just powerful, but accessible and tailored to our unique needs. With Team Computers’ industry depth and Yotta’s sovereign AI Shakti Cloud, we’re enabling AI solutions that are ready to deploy, simple to adopt, and built for measurable impact. This partnership is about equipping every enterprise - large or small - with the tools to accelerate their AI transformation." Sunil Gupta, Co-Founder, MD & CEO of Yotta Data Services.
“India has the talent and ambition to lead the world in AI adoption. Through our collaboration with Yotta, we are giving enterprises the tools to move from pilots to production - transforming AI into a core business advantage.” said Ranjan Chopra, Founder & Managing Director, Team Computers.
The companies plan to establish AI innovation labs, run hackathons and workshops, and extend their outreach into underpenetrated Tier-2 markets, enabling more enterprises to deploy AI at scale.
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