See our AI Cloud in action with a guided platform video
Watch how you can build, train, and deploy AI models with ease using our unified, scalable, and secure AI Cloud platform.
Unified. Effortless. Trusted
Build, train, and deploy AI with speed, scale, and simplicity from cloud to edge.
Identify the pressing concerns of infrastructure costs, scalability, and data security.
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.
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.
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.
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.
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.
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.
Is your cloud strategy ready for tomorrow?
From model building to deployment to continuous optimisation, our unified AI Cloud solution brings you flexibility, security, and scalability across private, hybrid, and edge environments.
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.
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.
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.
Watch how you can build, train, and deploy AI models with ease using our unified, scalable, and secure AI Cloud platform.
Watch how AI agents power real-time customer engagement and support.
Explore how AI-driven insights boost conversions through tailored product suggestions.
Learn how real-time demand sensing helps optimise in-store and online inventory.
Discover how AI anticipates equipment failure, reducing downtime and maintenance costs
See how edge-deployed AI enhances product quality control using visual inspection.
Learn how AI improves forecasting, inventory planning, and procurement decisions.
Discover how AI models process sensor data for real-time decision-making in autonomous vehicles.
Learn how connected cars use AI to anticipate service needs and reduce breakdowns.
Explore AI-powered visual inspection systems that streamline automotive production lines.
Solve real-world problems with multimodal RAG, processing text, images, voice, and more using NVIDIA NIMs.
Get real-time insights from any database using conversational reporting and natural language queries.
Transform your knowledge base into conversations with our no-code bot builder. Just drag, drop, and deploy AI solutions effortlessly.
Create personalised, intelligent customer journeys with conversational UIs and AI-powered recommendations.
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
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
Vayu AI Cloud offers a unified platform to develop, train, and deploy AI with ease. It is secure, scalable, and built for enterprise impact.
Vayu AI Cloud ensures sovereign data control, global compliance, and defence-grade security as standard.
From BFSI to healthcare and retail, our platform supports versatile AI workloads across sectors.
DATASHEET
GPUaaS : The engine behind AI transformation
AI is evolving fast, and behind every breakthrough are powerful GPUs. GPU-as-a-Service (GPUaaS) gives enterprises, startups, and researchers on-demand compute to train, scale, and deploy AI.
Datasheet
Tata Communications Vayu AI Cloud- GPU as a service datasheet
GPU-as-a-Service delivers scalable, high-performance GPUs for AI/ML workloads. Optimise training, inference, and deployment with on-demand access—no upfront infrastructure costs.
Engage with interactive demos, insightful surveys, and calculators to uncover how our solutions fit your needs.
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Disclaimer: IZO™ Cloud is now Tata Communications Vayu Cloud. TATA COMMUNICATIONS VAYU branded services are available in India only.
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