How India’s Top AI Builders Are Scaling on Yotta’s Shakti Cloud

"At BharatGen, our mission is to build foundation models that truly represent India - its languages, culture, and real-world contexts. Access to hyperscale, secure digital infrastructure under the IndiaAI Mission - including platforms such as Yotta’s Shakti Cloud - has been instrumental in the development and training of our PARAM-1 and PARAM-2 LLM and SLM model series, providing high-performance NVIDIA H100 infrastructure, a production-grade distributed training stack, and the scale required to iterate rapidly on India-first data. This collaboration exemplifies the collective effort needed to build and deploy world-class, sovereign AI within India, enabling researchers, startups, and public platforms to innovate faster with trust, security, and national-scale readiness.”

“Bhashini was created to make language a bridge, not a barrier, for every Indian. Running our platform on Yotta’s sovereign cloud stack has fundamentally strengthened our ability to deliver that vision at national scale. With our application layer on Yntraa and inference powered by Shakti Cloud, we build “voice-first applications” with end-to-end Voice Journeys besides having transcription & translation of millions of users across India. Dedicated GPU infrastructure combined with serverless inference has removed operational complexity, enabled elastic scaling, and ensured consistently high performance without compromising SLAs. This end-to-end, India-hosted AI stack allows us to focus on building language AI for real-world governance, citizen services, and digital inclusion - securely, efficiently, and at population scale.”

"At Zoho, we have always believed that critical digital infrastructure must be built with long-term sovereignty, security, and accountability at its core. Our partnership with Yotta reflects that belief. As our platforms and AI capabilities continue to scale across markets and customer segments, Shakti Cloud gives us the confidence to grow without infrastructure becoming a constraint. Its high-performance, India-hosted GPU cloud allows us to train and deploy in India domain-specific AI models reliably today, while providing a clear, scalable path for future growth. This alignment between Zoho’s philosophy of self-reliant technology and Yotta’s sovereign cloud infrastructure demonstrates that India can build, operate, and scale world-class digital and AI systems on trusted foundations over the long term.”

“Yotta through their pioneering vision brought in state-of-the-art compute into India enabling researchers like us to compete globally. Since day one, Sarvam’s innovation in AI has been anchored on Yotta’s Shakti Cloud — from training all our models end-to-end on its high-performance NVIDIA H100 GPU infrastructure to serving inference at scale. With Shakti Cloud powering over one million daily inference requests today, we’re not only commercializing lightweight models successfully but also building India’s first large language model on 4,096 H100 GPUs fully enabled through Yotta and supported by the IndiaAI Mission. This deep partnership gives us the performance, reliability, and sovereign stack needed to push India-first AI into real-world impact.”

“At Soket AI, we are building open-source large language models to power India’s AI future. Doing this at national scale requires more than raw compute - it demands scalable data pipelines, high-performance storage, and the ability to train without infrastructure constraints. On Yotta’s Shakti Cloud, we have been able to scale from a single node to hundreds of NVIDIA H100 GPUs with stable and predictable performance. Kubernetes clusters support real-time inference and synthetic data generation, while SLURM-based training integrated with high-speed storage enables efficient distributed model training. With 1,536 NVIDIA H100 GPUs provisioned on Shakti Cloud under the IndiaAI Mission, we are advancing Project EKΛ, India’s open, India-first foundation model initiative, while focusing on building and evaluating production-ready AI systems.”

“At Qure.ai, trust, security, and clinical reliability are non-negotiable. Our journey with Yotta began with a clear need for control and governance — running our CPU workloads and sensitive datasets on dedicated infrastructure that meets stringent healthcare compliance requirements. As our model training needs expanded, GPU scalability became the real constraint. Shakti Cloud allowed us to extend our secure environment with privately connected, high-performance GPU infrastructure — removing challenges around power, cooling, and long procurement cycles. Today, we train and iterate elastically on Shakti Cloud without compromising security or performance, enabling our teams to focus on deploying clinically impactful AI at speed for India and global healthcare systems.”