High-performance NVIDIA GPU infrastructure hosted in Kathmandu. From first experiment to production endpoints — all billed in NPR, with data that never leaves the country and support that answers in Nepal time.
We combine enterprise-grade AI infrastructure with the practical advantages Nepali teams actually need.
Every training run, dataset and model remains inside the country. Ideal for banks, healthcare, government and any regulated workload that cannot cross borders.
No USD invoices, no FX risk, no NRB approval friction. Pay via eSewa, Khalti or bank transfer. Predictable costs in the currency you already use.
Engineers based in Kathmandu who understand local constraints, speak Nepali and English, and respond when you need them — not from another time zone.
Pre-configured environments with CUDA, PyTorch, TensorFlow, vLLM and more. Launch notebooks or full GPU workspaces and start working immediately.
Start with managed AI Lab for experiments, move to full GPU Workspace for serious training, then deploy inference endpoints — all on the same platform.
Access H200, H100, RTX PRO 6000 Blackwell, L40S and L4 — the same class of hardware powering global AI labs, now available locally.
Explore models, fine-tune on your data, train at scale, and deploy production endpoints — without managing infrastructure.
Managed experimentation environment for researchers, students and teams getting started. Pre-built notebooks, collaborative workspaces and monitoring — no systems knowledge required.
Perfect for universities, bootcamps & R&D teams
Full-control virtual machines with root access, pre-installed AI stacks and the ability to scale from a single GPU to multi-GPU nodes. Built for serious training and fine-tuning.
Ideal for ML engineers & startups
Deploy models as shared or dedicated endpoints. Serve LLMs, vision and speech models with low latency from inside Nepal. Scale automatically as traffic grows.
For production applications
From efficient inference to large-scale training — choose the accelerator that matches your model and budget.
Foreign clouds were never designed for Nepali teams. Here’s what changes when infrastructure lives here.
Every invoice brings currency risk and extra administrative overhead.
Sensitive datasets and models cross borders — a growing compliance concern.
When a job fails at 2 AM Nepal time, help is hours away.
Teams still burn days on drivers, containers and environment debugging.
eSewa, Khalti or bank transfer. No foreign currency friction.
Compute and storage stay inside Nepal. Built for regulated industries.
Talk to people who understand both the stack and the context.
Launch and start training in minutes, not days.
Share your models, dataset size, expected GPU hours and whether you need Lab, Workspace or inference.
We recommend the right GPU tier and access mode, with clear NPR pricing.
Spin up environments, fine-tune models or deploy endpoints. Scale when you need more capacity.
Move from experiments to production with the same platform and the same local support team.
