Home
News
Tech Grid
Data & Analytics
Data Processing Data Management Analytics Data Infrastructure Data Integration & ETL Data Governance & Quality Business Intelligence DataOps Data Lakes & Warehouses Data Quality Data Engineering Big Data
Enterprise Tech
Digital Transformation Enterprise Solutions Collaboration & Communication Low-Code/No-Code Automation IT Compliance & Governance Innovation Enterprise AI Data Management HR
Cybersecurity
Risk & Compliance Data Security Identity & Access Management Application Security Threat Detection & Incident Response Threat Intelligence AI Cloud Security Network Security Endpoint Security Edge AI
AI
Ethical AI Agentic AI Enterprise AI AI Assistants Innovation Generative AI Computer Vision Deep Learning Machine Learning Robotics & Automation LLMs Document Intelligence Business Intelligence Low-Code/No-Code Edge AI Automation NLP AI Cloud
Cloud
Cloud AI Cloud Migration Cloud Security Cloud Native Hybrid & Multicloud Cloud Architecture Edge Computing
IT & Networking
IT Automation Network Monitoring & Management IT Support & Service Management IT Infrastructure & Ops IT Compliance & Governance Hardware & Devices Virtualization End-User Computing Storage & Backup
Human Resource Technology Agentic AI Robotics & Automation Innovation Enterprise AI AI Assistants Enterprise Solutions Generative AI Regulatory & Compliance Network Security Collaboration & Communication Business Intelligence Leadership Artificial Intelligence Cloud
Finance
Insurance Investment Banking Financial Services Security Payments & Wallets Decentralized Finance Blockchain Cryptocurrency
HR
Talent Acquisition Workforce Management AI HCM HR Cloud Learning & Development Payroll & Benefits HR Analytics HR Automation Employee Experience Employee Wellness Remote Work Cybersecurity
Marketing
AI Customer Engagement Advertising Email Marketing CRM Customer Experience Data Management Sales Content Management Marketing Automation Digital Marketing Supply Chain Management Communications Business Intelligence Digital Experience SEO/SEM Digital Transformation Marketing Cloud Content Marketing E-commerce
Consumer Tech
Smart Home Technology Home Appliances Consumer Health AI
Interviews
Anecdotes
Think Stack
Press Releases
Articles
  • Enterprise AI

Yotta Shakti Studio Enables Fast AI Model Deployment


Yotta Shakti Studio Enables Fast AI Model Deployment
  • by: Source Logo
  • |
  • October 7, 2025

Yotta Data Services, a prominent provider of AI, cloud infrastructure, and platform services, has introduced Shakti Studio, an enterprise-grade AI Cloud Platform aimed at streamlining AI adoption by removing infrastructure barriers. Developed in close collaboration with NVIDIA, this platform delivers on-demand Serverless GPUs, model Fine-Tuning, and production-ready AI Endpoints for large language models, vision, and speech applications, empowering developers, data scientists, and organizations to efficiently build, deploy, and scale AI solutions.

Quick Intel

  • Shakti Studio offers Serverless GPUs for elastic, on-demand compute to handle AI training, Fine-Tuning, and deployment without infrastructure overhead.
  • Provides pre-built AI Endpoints for LLMs, vision, and speech models to accelerate integration into enterprise applications.
  • Supports secure Fine-Tuning of models for domain-specific tasks, languages, and custom needs using distributed GPU resources.
  • Features a self-service portal with SLA-backed reliability and compliance-ready environments for large-scale enterprise use.
  • Enables unified workflows for training, deployment, scaling, and monitoring to shorten time-to-market for AI innovations.
  • Backed by NVIDIA partnership, making it the fastest route from AI model development to production for enterprises and startups.

Accelerating AI Adoption with Seamless Infrastructure

Shakti Studio stands out by combining accessibility with robust enterprise performance, featuring an intuitive self-service portal that simplifies access for users of all levels. It ensures SLA-backed reliability and secure, compliance-ready setups tailored for major organizations, allowing them to focus on innovation rather than operational hurdles. The platform's unified interface covers the entire AI lifecycle—from training and deployment to scaling and monitoring—significantly reducing deployment timelines and enabling faster realization of business value.

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."

This NVIDIA-powered solution eliminates the complexities of traditional AI infrastructure, providing instant access to high-performance resources that scale dynamically to meet workload demands.

Core Capabilities for Enterprise AI

At the heart of Shakti Studio are its key components designed for versatility and efficiency. Shakti Serverless GPUs deliver on-demand compute that expands or contracts as needed, supporting intensive tasks like model training and Fine-Tuning without the need for dedicated hardware management. This elasticity ensures cost-effective resource utilization across diverse AI projects.

Complementing this, Shakti AI Endpoints supply production-ready models for LLMs, vision processing, and speech recognition, enabling teams to embed advanced AI functionalities into applications swiftly without starting from ground zero. For customization, Shakti Fine-Tuning allows secure adaptation of models to specific industries, tasks, or languages, leveraging distributed GPU clusters for accelerated performance in controlled environments.

These features collectively address common pain points in AI development, from resource scarcity to integration challenges, fostering a more agile approach to technology deployment.

Broad Impact Across Industries and Users

Shakti Studio's industry-agnostic design makes it a versatile tool for widespread AI empowerment. Enterprises benefit from bypassing lengthy procurement processes, allowing quicker integration of AI into core operations. Startups gain momentum in product launches by accessing scalable tools that match growth stages. Researchers can conduct extensive experiments free from GPU constraints, while students explore hands-on learning with professional-grade resources.

Powered by Yotta's hyperscale infrastructure and NVIDIA's advanced technologies, including NIM and GPU clusters, Shakti Studio positions itself as a global enabler of AI innovation. As the sole APAC Cloud Partner in NVIDIA's Exemplar initiative, Yotta ensures cutting-edge capabilities backed by certifications like RBI, ISO 27017/27701, PCI-DSS, and SOC2/3, guaranteeing security and compliance in every deployment.

Yotta Data Services' launch of Shakti Studio not only bridges the gap between AI potential and practical implementation but also sets a new standard for accessible, high-performance cloud AI platforms, driving transformative outcomes for businesses worldwide.

About Yotta Data Services

Yotta Data Services is a leading AI and cloud infrastructure provider offering hyperscale cloud, AI cloud, data center hosting, cybersecurity, and managed IT services. Its Shakti Cloud delivers advanced AI services with NVIDIA's NIM and GPU clusters. Operating hyperscale parks in India, Yotta is NVIDIA's sole APAC Cloud Partner under the Exemplar initiative. It also holds key certifications, including RBI, ISO 27017/27701, PCI-DSS, and SOC2/3.

  • YottaShakti StudioEnterprise AINVIDIAAI Adoption
News Disclaimer
  • Share