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Case Study

Loti AI advances digital identity protection with Tata Communications GPU infrastructure

Business impact
in action

Millions

processed daily internet-sourced images and videos analysed for identity protection

10 hours

reduction in monthly DevOps workload management effort

100% fully

managed GPU environment enabling scalable AI inference workloads with operational flexibility

Challenge

The Challenges

  • Managing large-scale AI inference workloads processing millions of images and videos daily.

  • Reducing infrastructure costs while maintaining performance and scalability.

  • Finding a provider with responsive technical support and deployment assistance.

Solution

The Solution

  • Tata Communications deployed a tailored GPU-as-a-Service environment for AI inference workloads.

  • Provided scalable GPU infrastructure with flexible bandwidth and customised VM configurations.

  • Delivered deployment planning, proactive troubleshooting, and ongoing technical support.

result

The Result

  • Enabled efficient large-scale deepfake and impersonation detection for Loti AI.

  • Reduced overall infrastructure costs compared to traditional hyperscaler environments.

  • Improved operational efficiency by reducing DevOps management effort.

  • Provided unrestricted bandwidth flexibility for high-volume image and video processing.

  • Created a strong foundation for Loti AI’s strategic growth and expansion plans in India.

At Loti AI, we needed a large-scale NVIDIA L40s GPU inference cluster that could reduce our TCO without compromising performance, and Tata Communications delivered a fully managed GPU-as-a-Service aligned to our cost expectations so our teams stay focused on product innovation while Tata Communications runs the infrastructure, backed by strong security and ISO/SOC-aligned compliance, on an NVIDIA reference-architecture foundation that gives us confidence in consistent performance at scale.
Hirak
Chief Technology Officer, Loti AI
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