Utho Cloud announces 10,000 GPUs expansion to build Indias Sovereign AI compute backbone

In July 2026, Utho Cloud, a sovereign cloud and AI infrastructure platform, announced its commitment to deploy 10,000 GPUs in the next 7-8 quarters as part of its long-term vision to build India’s sovereign AI compute backbone. The investment will span NVIDIA’s enterprise-grade GPU portfolio, including the H200, H100, A100, RTX PRO 6000 Blackwell, and L4, enabling businesses, startups, researchers, and public sector organizations to access high-performance AI infrastructure hosted entirely within India.

Utho’s investment spans across the GPU portfolio, enabling the company to offer guaranteed GPU availability without long waitlists or auction-based pricing. The infrastructure is also designed to deliver sovereign AI compute, thus ensuring that customer data and model training will remain within their chosen jurisdiction while retaining full ownership of intellectual property. It also offers transparent and predictable pricing up to 60% lower than traditional hyper scaler GPU rates, along with the flexibility to support workloads ranging from single-model inference to large-scale distributed AI training. In addition, customers will have access to 24×7 human support for mission-critical production AI workloads. With over 51,000 users, the company offers cloud infrastructure with data residency in India and compliance with the Digital Personal Data Protection (DPDP) Act.

The announcement has come amid growing concerns over AI compute availability, with GPU shortages, rising costs, and extended procurement timelines emerging as key challenges for enterprises all over the world. Unlike conventional cloud models that often expose businesses to foreign currency billing, unpredictable GPU costs, and infrastructure dependencies outside India, this sovereign AI platform is designed to provide organizations with predictable pricing in Indian Rupees, complete data residency, and enterprise-grade AI infrastructure deployed within Indian jurisdiction.

Impact on the AI Market

From AI chatbots to self-service interfaces and other intelligent systems, business leaders all over the world are boosting their credit AI adoption with gains in revenues and profits. AI-powered business intelligence tools can reduce human error by enabling leaders to perform data-driven decision-making. Meanwhile, AI apps and workflow enhancements streamline operations for increased efficiency.

A common advantage of AI is that it automates repetitive tasks for workflow optimization, freeing up workers to focus on more demanding priorities. AI-powered agents are able to take things one step further by autonomously determining and pursuing a course of action to achieve high-level tasks. In the field of computer science, software engineering (SWE) agents can autonomously resolve GitHub tickets to streamline workflows. Developers can also review and approve the proposal, giving the agent the go-ahead to update the code.

Impact on the Artificial Intelligence as a Service Market

The global artificial intelligence as a service market size is accounted at USD 16.48 billion in 2025 and predicted to increase from USD 22.70 billion in 2026 to approximately USD 294.83 billion by 2034, expanding at a CAGR of 37.78% from 2025 to 2035

According to Precedence Research, the market is quickly growing as today's businesses are adopting AI-enabled solutions on cloud platforms. Organizations are leveraging AIaaS to improve automation, decision-making, and efficiency. The increase in the use of natural language processing (NLP), predictive analytics, and machine learning (ML) technologies/solutions in businesses is driving this demand. Due to its flexibility and cost structure, AIaaS is preferred in almost every industry and has the potential to transform the global economy digitally, thereby contributing to the continuing expansion of the global market.

Artificial Intelligence as a Service is rapidly gaining massive traction as businesses are increasingly adopting cloud-based AI platforms to identify and provide quick digital transformation. Companies are adopting AIaaS capabilities, such as predictive analytics, automation, NLP, and computer vision, with minimal investments in infrastructure. There is also a growing investment trend relating to the market growth of AI innovation and enterprise modernization.

Impact on the Artificial Intelligence of Things (AIoT) Market

The global artificial intelligence of things (AIoT) market size accounted for USD 225.89 million in 2025 and is predicted to increase from USD 297.60 million in 2026 to approximately USD 3,248.22 million by 2035, expanding at a CAGR of 30.55% from 2026 to 2035.

According to Precedence Research, the market is rapidly evolving as organizations seek to harness real-time intelligence from connected devices. The Internet of Things and artificial intelligence are combined to create AIoT, whereby AI algorithms evaluate data from networked devices to facilitate quicker, more intelligent, and self-governing decision-making. Businesses can use predictive maintenance techniques to increase asset utilization, lower operating costs, and boost productivity thanks to this integration. The increasing need for automation, real-time analytics, and smart infrastructure is fueling the expansion of AIoT use in the manufacturing, healthcare, transportation, retail, and energy sectors.

Artificial intelligence plays a crucial role in connected devices like IoT, enabling intelligent automation and real-time decision-making. By integrating AI into IoT systems, businesses can glean useful insights from massive volumes of sensor generated data. Predictive maintenance is made possible through AI, enabling autonomous control and enhancing the operational efficiency of IoT. Advanced features like pattern recognition, anomaly detection, facial/object recognition, and natural language interaction are made possible by AI, which allows IoT devices to go beyond simple data collection.

Expert Opinion

Commenting on the investment, Manoj Dhanda, Founder and CEO of Utho Cloud, said,

“We have spent years building a cloud platform designed around India’s data sovereignty and regulatory requirements. With this expansion, we will offer guaranteed GPU availability without extended wait times, sovereign AI compute with data and model training hosted within customer jurisdictions, transparent and predictable pricing, and the flexibility to support workloads ranging from AI inference to large-scale model training. By combining 100% data residency, compliance with the Digital Personal Data Protection (DPDP) Act, and cost-efficient AI infrastructure, we aim to remove the barriers that have long limited access to high-performance AI computing and accelerate India’s journey towards becoming a global AI powerhouse.