- Shakti Studio is designed to accelerate AI adoption seamlessly, and is the fastest path for an enterprise from model to market
- It combines scalable AI Endpoints, Fine-Tuning for leading models and instant access to Serverless GPUs to empower data scientists, ML engineers, startups, and enterprises with production-ready AI capabilities
Mumbai, October 07, 2025: Yotta Data Services, India’s leading sovereign AI, cloud infrastructure and platform services provider, today announced the launch of Shakti Studio, an enterprise-grade AI Cloud Platform designed to accelerate AI adoption seamlessly by eliminating infrastructure complexities. It provides on-demand Serverless GPUs, Fine-Tuning, and production-ready AI Endpoints for LLMs, vision, and speech, allowing developers, data scientists, and enterprises to rapidly build, deploy, and scale AI models without managing infrastructure.
Designed to serve a wide audience, Shakti Studio, an offering under Yotta’s Shakti Cloud, balances accessibility with enterprise grade performance. It provides an intuitive self-service portal for beginners and students, while offering SLA-backed reliability and secure, compliance ready environments for large organisations. The unified platform allows for training, deployment, scaling, and monitoring that helps reduce the time-to-market for enterprises.
Commenting on the announcement, Sunil Gupta, Co-Founder, MD & CEO of Yotta Data Services, said, “The Indian ecosystem is in perfect alignment to allow for widespread AI adoption and deployment. Shakti Studio is a major step forward in democratising enterprise AI adoption and the fastest path for an enterprise from model to market. With a sharp focus on enabling innovation and delivering value, Shakti Studio is specifically designed with a view to help India accelerate its vision of becoming the AI garage of the world.”
Shakti Studio’s serverless setup eliminates infrastructure worries while providing speed, security, and cost efficiency via its optimised GPU usage and flexible hardware capabilities. Additionally, with SLAs, compliance, and monitoring built-in, Shakti Studio is not only enterprise ready, but also runs both on owned infrastructure and on Yotta’s managed environment.
“With Shakti Studio, enterprises, data scientists and developers can push the boundaries of what AI can achieve,” said Bhavesh Adhia, Chief AI Officer & Chief Strategy Officer, Yotta Data Services. “Shakti Studio is our MLOps platform, empowering you through the entire AI journey: from discovering and consuming open-source models to fine-tuning them for your specific use case, ensuring you achieve peak performance and results that truly fit your vision.”
Capabilities of Shakti Studio:
- Shakti Serverless GPUs: Provides on-demand GPU compute that scales elastically, supporting training, fine-tuning, and deployment of AI models without requiring physical infrastructure management.
- Shakti AI Endpoints: Offers ready-to-use LLMs, vision, and speech models, allowing teams to integrate AI features into applications without building models from scratch.
- Shakti Fine-Tuning: Enables customisation of models such as Llama and Qwen for specific tasks, domains, or languages, with secure and isolated environments and distributed GPU compute for efficient experimentation and deployment.
Shakti Studio empowers enterprises to adopt AI without complex procurement cycles, accelerates product launches for startups, supports researchers in running large-scale experiments without GPU shortages, and provides students with hands-on access to advanced tools for learning and innovation. It is also designed to be industry-agnostic, with companies in finance, healthcare, media, manufacturing, and gaming all set to benefit from the platform’s scalability and speed.
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