We exist so that researchers, startups and enterprises can develop and run AI without depending on foreign clouds, foreign currencies or foreign support.
CoreValley AI is creating sovereign GPU infrastructure in Nepal so that local talent can train models, fine-tune LLMs, run inference and build AI products without the latency, cost structure or compliance friction of overseas providers.
For too long, serious AI work in Nepal has meant shipping data abroad, paying in USD and waiting for support across time zones. That model does not serve universities, regulated industries or the next generation of Nepali AI companies.
We are building the alternative: high-performance NVIDIA compute hosted in Kathmandu, billed in NPR, supported by engineers who understand both the technology and the local context.
Principles that shape every product and pricing decision.
Infrastructure, data and support stay inside Nepal. Compliance with local regulations is a core design requirement, not an add-on.
We optimise for real workflows: quick environment spin-up, clear NPR pricing, and support that actually answers when a training job fails at night.
University labs, individual researchers and student projects should be able to access serious GPUs without enterprise procurement cycles.
The same platform that supports early experiments should also support production inference and scaling when teams are ready to ship.
Managed AI Lab environments so students and faculty can experiment with modern models without managing clusters or dealing with foreign cloud accounts.
Full GPU workspaces with the freedom to install what they need, fine-tune models and deploy endpoints while keeping costs in NPR and data local.
Isolated environments, data residency guarantees and local support suitable for regulated industries and government use cases.
