Zlendo Technologies
Zlendo is an AI-first digital transformation company (flagship product Zlendo Realty) building AI/ML training pipelines, inferencing systems, AR/VR platforms and generative-AI solutions for enterprise clients.
Zlendo hit a wall with their local hosting provider. The specific GPUs they needed were simply not available. Running cutting-edge AI workloads on infrastructure that can’t supply the right hardware is a full stop on what you can build.
CloudPe provisioned a dedicated GPU cluster in Mumbai for production AI/ML training and inferencing on the same day they signed up, with minor optimisations for peak GPU performance and ISO / SOC 2 compliant infrastructure.
- 1-day deployment of the exact GPU type required
- AI/GPU capability fully enabled; scalability resolved
| Company Size | 51 to 200 employees |
| Founded | 2020, Madurai, Tamil Nadu |
| Tenure with CloudPe | 2+ years |
| Previous Setup | Local hosting provider |
| Solution | CloudPe GPU Cloud · production AI/ML · Mumbai DC |
The Background
Zlendo Technologies is an AI-first digital transformation company founded in 2020 in Madurai. Despite being young, it has grown 290% year-on-year. Its portfolio spans AI/ML training and inferencing, immersive AR/VR, generative AI, IoT integration and workflow automation for enterprise clients. GPU infrastructure is the foundation on which every AI/ML deliverable is trained, tested and deployed, so its quality, availability and performance directly determine what Zlendo can promise customers.
The Problem
Zlendo had been running on a local hosting provider. As their AI requirements grew more specific, a fundamental limitation emerged: the provider simply did not have the GPUs Zlendo needed. This was not about speed or price; it was about capability. Certain training jobs, inferencing pipelines and generative-AI applications require specific GPU architectures; when those aren’t available, the work cannot run. For a company growing 290% a year with real client deadlines, being blocked on hardware was an immediate business problem.
Why They Chose CloudPe
Zlendo found CloudPe through PPC ads and onboarded within four weeks after inspecting every factor. Two things decided it: CloudPe had the exact GPU type available and ready to deploy, and the technical expertise and support quality gave the team confidence their workloads would be handled properly.
What We Delivered
- GPU Cloud cluster provisioned in the Mumbai data centre with the specific GPU architecture Zlendo required
- Production environment for AI/ML training and inferencing pipelines
- 1-day deployment: workloads live on the right hardware the day they signed up
- Minor GPU optimisation applied at onboarding for day-one performance
- ISO and SOC 2 compliant infrastructure meeting enterprise data-governance standards
- Mumbai-based hosting for data localisation to meet Indian enterprise requirements
The Results
- GPU availability unlocked: workloads the local provider could not support now run
- 40% better uptime for production AI/ML pipelines
- 1-day deployment with no procurement delays
- 100% CSAT score
- Infrastructure scalability: growth no longer gated by missing hardware
The Bigger Picture
Zlendo’s story captures a challenge intensifying as India’s AI economy matures: companies building real AI products face hardware unavailability from local and regional providers. Generic hosting companies aren’t built to stock specialised GPU clusters. CloudPe’s GPU availability plus 1-day deployment means growing AI/ML teams aren’t blocked when a client deadline hits.
“GPU availability was the deciding factor. CloudPe had the exact hardware we needed and had us in production the same day.”