Watch how you can build, train, and deploy AI models with ease using our unified, scalable, and secure AI Cloud platform.
Leap from data to decisions with AI that spans cloud to edge
Build, train, and deploy AI with speed, scale, and simplicity from cloud to edge.

AI ambitions are rising. So are the roadblocks
Identify the pressing concerns of infrastructure costs, scalability, and data security.
Scaling barriers
Over 80% of CEOs cite barriers to GenAI adoption. Lack of cross-functional collaboration keeps your projects stuck in isolated pockets, slowing outcomes and inflating costs.
Infrastructure and reliability challenges
Balancing on-premises and cloud infrastructure often leads to inefficiencies. Add LLM failure rates of up to 43%, and reliability becomes a costly hurdle to scale.
Cloud security risks
79% of organizations have faced cloud breaches. GenAI systems add another layer of risk, making data manipulation and unauthorized access significant threats to enterprise security.
Talent shortage
From data science to DevOps, AI success demands diverse, specialized teams that are hard to find. 54% of organisations say the lack of skilled AI talent is a major barrier.
Consumer trust and transparency
51% of consumers worry about AI decision-making transparency. When algorithms lack explainability, your enterprise face a risk of reputation, legal exposure, and consumer backlash.
Slowing momentum
By 2025, 90% of GenAI deployments may hit a wall due to rising cost-value concerns. By 2028, over half of the large AI projects could be abandoned entirely.
An AI ecosystem designed to deliver in every environment
From model building to deployment to continuous optimisation, our unified Vayu AI Cloud solution brings you flexibility, security, and scalability across private, hybrid, and edge environments.
Develop
Clean, pre-process, and transform data for AI algorithms. Choose the appropriate AI model (e.g., neural network, decision tree) based on the problem and dataset. Create or transform data to improve model performance.
Train
Feed prepared data into the selected model to teach it to recognise patterns and make predictions. Optimise model performance by adjusting parameters. Evaluate the model’s accuracy on a separate validation dataset.
Deploy
Integrate the trained model into a production environment. Use the model to make predictions on new, unseen data. Continuously monitor and update the model’s performance to maintain accuracy.
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Tata Communications Vayu AI Cloud solutions

GPU as a service

AI Workbench

Data Management

MLOPS

Serverless

Supermarket
What sets Vayu AI Cloud apart?
What sets Vayu AI Cloud apart?
Cloud-to-edge continuum
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- Build and train AI models in the cloud and infer at the edge
- Leverage our multi-access edge solution for real-time AI inferencing at the edge
- Employ advanced data management capabilities across the entire data lifecycle
Fully managed AI platform with Multi-Cloud Connect
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- Seamlessly integrate with major cloud providers and deploy AI models across environments using Multi-Cloud Connect
- Leverage MLOps tools for model versioning, monitoring, and deployment, ensuring consistent performance and security
- Ensure AI models access the right data on time, with efficient data ingestion and storage across the infrastructure
Sovereign infrastructure
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- Keep data within geographical boundaries to address data sovereignty and comply with local protection laws
- Easily meet regulations, ensuring adherence to national guidelines for government agencies and enterprises
- Expand AI operations globally while maintaining a scalable, adaptable foundation
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Industry use cases

Conversational commerce
Watch how AI agents power real-time customer engagement and support.

Personalised recommendations
Explore how AI-driven insights boost conversions through tailored product suggestions.

AI-Driven inventory
Learn how real-time demand sensing helps optimise in-store and online inventory.

Predictive maintenance
Discover how AI anticipates equipment failure, reducing downtime and maintenance costs

Computer vision in QA
See how edge-deployed AI enhances product quality control using visual inspection.

Supply chain optimisation
Learn how AI improves forecasting, inventory planning, and procurement decisions.

AI for autonomous driving
Discover how AI models process sensor data for real-time decision-making in autonomous vehicles.

Predictive vehicle maintenance
Learn how connected cars use AI to anticipate service needs and reduce breakdowns.

Smart manufacturing
Explore AI-powered visual inspection systems that streamline automotive production lines.
Real-world use cases. Real business outcomes

1
Multimodal solutions
Solve real-world problems with multimodal RAG, processing text, images, voice, and more using NVIDIA NIMs.
2
Data insights on demand
Get real-time insights from any database using conversational reporting and natural language queries.
3
Conversational agent
Transform your knowledge base into conversations with our no-code bot builder. Just drag, drop, and deploy AI solutions effortlessly.
4
Smart customer interactions
Create personalised, intelligent customer journeys with conversational UIs and AI-powered recommendations.
Next-gen AI, backed by real-world benefits
Unified platform
- End-to-end platform with tools for data management, experimentation, training, fine-tuning, and deployment
- Harmoniously connects data, tools, and AI workflows
- Performs consistently across all environments - from centralised cloud to decentralised edge
Effortless integration
- Enables rapid deployment with minimal setup
- Effortlessly expands resources to match your evolving needs
- Fully automated and managed, removing complexity from your operations
Trusted security
- Built on the core principles of national data control
- Meets global security and regulatory standards
- Reinforced with defence-grade protection woven into every layer
GPU-as-a-Service pricing
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AI.H100.IB.8X
High-performance H100 GPU infrastructure
Pay-Per-Use/GPU (Hourly): USD 5.53
Pay-Per-Use (Hourly): USD 44.24
1 Month Reserved (Hourly): USD 40.26
12 Months Reserved (Hourly): USD 34.51
224 vCPU, 1TB RAM, 900 GB RAID 1 root storage
8 x 7.6TB disks for caching, 8 H100 in HGX
900 Gbps memory bus, 3200 Gbps GPU-to-GPU InfiniBand
Nvidia Bluefield 3 DPU, open-source OS, CUDA drivers
Infrastructure observability tools
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AI.L405.4X
Balanced AI workload infrastructure with L40S
Pay-Per-Use/GPU (Hourly): USD 2.54
Pay-Per-Use (Hourly): USD 10.15
1 Month Reserved (Hourly): USD 9.24
12 Months Reserved (Hourly): USD 8.02
128 vCPU, 512 GB RAM, 900 GB NVMe RAID 1 root storage
2 x 3.8 TB NVMe SSDs for caching
4 x L40S in HGX system
Nvidia Bluefield 3 DPU, open-source OS
CUDA drivers and infrastructure observability
Frequently asked questions
What makes Tata Communications Vayu AI Cloud different?
Vayu AI Cloud offers a unified platform to develop, train, and deploy AI with ease. It is secure, scalable, and built for enterprise impact.
How secure is my data and AI model on AI Cloud?
Vayu AI Cloud ensures sovereign data control, global compliance, and defence-grade security as standard.
Which industries can benefit most from Vayu AI Cloud?
From BFSI to healthcare and retail, our platform supports versatile AI workloads across sectors.
One platform for all your cloud needs


Explore the Tata Communications Vayu Suite

Vayu Edge
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Tata Communications Vayu Cloud
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Tata Communications Vayu Data Platform

Vayu Edge
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Tata Communications Vayu Cloud
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Tata Communications Vayu Data Platform
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