High performance GPUs for every AI workload

The AI GPU Cloud supports enterprise initiatives with dedicated bare metal GPUs, including H100, H200, and L40S, optimised for peak throughput and scalable deployment. Built on a CNCF-certified Kubernetes platform with pre-integrated AI/ML tools, it ensures robust security and predictable costs for training, deployment, and large-scale inference.

Several industries leverage scalable GPU compute on this platform, including Manufacturing, Automotive, Banking & Finance, and Aviation. The infrastructure accelerates breakthrough research and advanced data analysis, integrating seamlessly with existing enterprise systems while keeping workloads sovereign and within India for regulated sectors with strict data residency requirements.

Businesses train AI models efficiently via GPU as a Service, with non-blocking InfiniBand accelerating GPU syncs and high-speed parallel storage feeding massive datasets at 10x faster throughput than standard PNFS. This combination significantly cuts LLM fine-tuning and training times without the overhead of managing infrastructure.

Tata Communications is one of India's leading GPU cloud providers, with sovereign infrastructure keeping data within India, aligned with the Digital Personal Data Protection Act (DPDPA), and India's first ISO 42001 certified AI governance built in. Secure hybrid connectivity via VPN and Multi-Cloud Connect adds another layer of enterprise-grade compliance and trust.

Flexible pay-as-you-go pricing makes GPU as a Service accessible to organisations of any size, hourly billing, no long-term commitment, and the ability to start and stop instances as needed. This gives startups and SMBs access to enterprise-grade bare metal GPU infrastructure without the capital expenditure of building in-house.

The platform accelerates workflows through a pre-optimised stack, CNCF-certified Kubernetes with necessary drivers, operators, and frameworks already in place. Teams spend less time on setup and more time building, with scalable on-demand GPU access that grows alongside training and inference needs.

The platform supports real-time inference via scalable on-demand GPU workloads, with multi-modal inferencing using NVIDIA L40S GPUs with ray tracing capabilities for efficient image and data processing. Fixed-price billing and committed-use discounts ensure inference at scale remains cost-predictable with no surprise egress fees.

Flexible pay-as-you-go on-demand pricing makes GPU as a Service accessible to organisations of any size, with hourly billing and no long-term commitment required. Startups and SMBs can start and stop instances as needed, accessing the same bare metal H100, H200, and L40S GPUs as large enterprises, without the capital expenditure of building in-house infrastructure.

The AI GPU Cloud accelerates workflows with dedicated bare metal GPUs optimised for peak throughput, supported by non-blocking InfiniBand for faster GPU synchronisation and high-speed parallel storage that delivers 10x faster data throughput than standard PNFS. The CNCF-certified Kubernetes environment with pre-optimised drivers and frameworks ensures teams spend less time on setup and more time on outcomes.

The AI GPU Cloud supports real-time inference via scalable on-demand GPU workloads, with deployment in just 3 steps and timelines measured in weeks, not months. Multi-modal inferencing is supported using NVIDIA L40S GPUs with ray tracing capabilities, while the platform sustains 50K tokens per second of generation throughput and 99.9% SLA for uninterrupted production performance.