Mumbai: Tata Communications has introduced its next-generation cloud platform, ‘Vayu’, aiming to reduce cloud expenses and simplify multi-cloud integration for enterprises.
The platform is designed to support artificial intelligence (AI) infrastructure, security and connectivity while ensuring compliance with regulatory frameworks.
Focus on Cost Reduction and Multi-Cloud Integration
Vayu integrates Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) while offering AI-powered cloud solutions.
According to Tata Communications, the platform can lower cloud costs by up to 30 per cent addressing concerns about rising cloud expenditure.
Unlike large cloud service providers, Vayu eliminates data egress fees, reducing overall costs by 15 to 25 per cent.
AI and High-Performance Computing Capabilities
The platform includes ‘Vayu AI Cloud’, which provides enterprises with on-demand access to NVIDIA GPUs, eliminating the need for significant infrastructure investments.
Additionally, Vayu AI Studio is designed to support AI model training, enabling businesses to accelerate innovation.
Security and Regulatory Compliance
Security remains a key feature of Vayu, incorporating a zero-trust security framework and advanced identity and access controls.
The platform complies with the Digital Personal Data Protection (DPDP) Rules, 2025, along with regulatory requirements set by the Reserve Bank of India (RBI), Securities and Exchange Board of India (SEBI), Insurance Regulatory and Development Authority (IRDAI), and the Ministry of Electronics & IT (MeitY).
Industry Outlook
As enterprises face increasing complexities in managing cloud environments and AI workloads, Tata Communications aims to position Vayu as a cost-effective and integrated solution.
The launch reflects a broader industry shift toward cloud platforms that offer predictable pricing and regulatory compliance while minimizing operational overhead.
With Vayu, Tata Communications is entering a competitive cloud market, where companies are looking for alternatives to major hyperscalers to optimize costs and improve flexibility in multi-cloud operations.
