
Train your models with hassle-free GPU-as-a-Service
Train your LLM models with fast, secure and cost-efficient GPU-as-a-service provided on demand.
Accelerate AI and analytics with dedicated BareMetal GPUs optimised for peak throughput. Train and fine-tune models faster using non-blocking Infiniband and high-speed parallel storage. Scale seamlessly via a CNCF-certified Kubernetes platform with pre-integrated AI/ML tools and frameworks. Securely connect workloads using Multi-Cloud Connect and VPN options for hybrid or sovereign deployments. Enjoy fixed-price billing and deeper discounts with long-term use. Ideal for AI/ML training, large-scale inference, research, and enterprise AI integration.
Business impact of our GPU platform
Business impact of our GPU platform
Train & Finetune LLMs Faster
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Non-blocking Infiniband accelerates GPU syncs, while high-speed parallel storage efficiently feeds massive datasets, slashing your model training times.
Scalable AI Workloads
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Our on-demand GPUs accessed via CNCF-certified Kubernetes platform effortlessly scales for training and inference. Deploy faster with pre-optimized stack, complete with the necessary drivers, operators, and frameworks.
Secure & Efficient Networking Options
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Connect existing infrastructure across multiple cloud or on-prem via VPN to securely transfer sovereign datasets and real-time data.
Predictable Low TCO
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Competitively priced GPUs discounted for longer commitments and fixed-price billing means no surprise costs. Further reduce data egress fees using our Multi Cloud Connect
Explore our pricing
On-Demand Pricing (Pay-as-you-go)
You pay for GPU capacity used on hourly basis. This model offers the most flexibility as you can start and stop instances as needed without any long-term commitment.
Reserved Instances/Committed Use Discounts
You commit to using a specific instance type in a particular region for a defined period. In return for this commitment, you receive a significant discount compared to on-demand pricing.
Business use cases
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Case Study
Network hub
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Simplifies and aggregates multiple network and security components in each cloud through network landing zone.
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Case Study
Reducing costs and latency for inter-cloud communication
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Connecting and managing workloads across AWS, Azure, GCP, and other providers.
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Inter-cloud data transfer
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Secure and cost-effective connectivity between AWS, Azure, and GCP
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High-Performance GPU use cases

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Accelerate breakthrough research
Train LLMs faster using high-speed GPU clusters and scale your experiments efficiently with robust, on-demand infrastructure.
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Accelerated data analysis and discovery
Process complex datasets quickly and securely with high-performance computing for faster insights.
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Enterprise AI integration and optimisation
Connect GPU resources to existing multi-cloud or on-premises environments using Multi-Cloud Connect, ensuring data security and a lower, predictable TCO.
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Multi-modal inferencing
Perform complex inference tasks combining different data types efficiently and at scale using high-performance GPUs like Nvidia L40s with ray tracing capabilities, optimized for image processing.
Count on us for proven results
InterGlobe
InterGlobe launches Cloudventure in 90 days, boosts growth with Tata Communications.

BACL
BACL enhances operations with Tata Communications’ end-to-end managed cloud services.

Tata CLiQ
Tata CLiQ achieves a significant increase in revenue and a 60% faster time-to-market with managed services.
Tushar Kshirsagar
IT Head, Prasanna Purple
Tata Communications has been our trusted network partner for years. Our journey to the cloud with them was effortless. They took charge of everything, from infrastructure to connectivity to applications, and moved it all to the cloud in only three weeks. Ever since, the applications have always been always-on for customers to book online tickets, check or change travel schedules, plan trips, and we have the agility to serve them promptly.
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