Yotta’s Shakti Studio Brings Production-Ready AI Capabilities to Enterprises and Startups

Designed to accelerate AI adoption seamlessly, is the fastest path for an enterprise from model to market
Combines scalable AI Endpoints, Fine-Tuning for models and instant access to Serverless GPUs

Yotta Data Services, a leading AI, cloud infrastructure and platform services provider, launched Shakti Studio, an enterprise-grade AI Cloud Platform designed to accelerate AI adoption seamlessly, by eliminating infrastructure complexities. Powered by a strong partnership with NVIDIA, 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.

It balances accessibility with enterprise grade performance and provides an intuitive self-service portal for customers. It also offers 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.

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Sunil Gupta, Co-Founder, MD & CEO, Yotta Data Services, said, “Shakti Studio is a major step forward in democratising enterprise AI adoption globally. With a sharp focus on enabling innovation and delivering value, it the fastest path for both enterprises and startups to go from model to market.”

Key Capabilities:

• Shakti Serverless GPUs: Provides on-demand GPU compute that scales elastically, supporting training, fine-tuning, and deployment of AI models without 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 for specific tasks, domains, or languages, with secure environments and distributed GPU compute.

Shakti Studio is industry-agnostic empowering enterprises to adopt AI without complex procurement cycles, accelerating product launches for startups, supporting researchers in running large-scale experiments without GPU shortages, and providing students with hands-on access to advanced tools for learning and innovation.