One coherent platform that covers research, fine-tuning, large-scale training and low-latency inference — hosted in Nepal.
Choose the access model that matches where you are in the AI lifecycle.
Managed environment designed for researchers, students and teams that want to explore and prototype quickly.
Full-control GPU virtual machines for serious training, fine-tuning and custom pipelines.
Deploy models as production APIs with low latency from inside Nepal.
Adapt open models to Nepali language and domain data using LoRA, QLoRA, SFT and related techniques on H100/H200 class GPUs.
Run full training jobs, research experiments and multi-GPU workloads with modern frameworks already installed.
Expose models via endpoints with the latency and data residency advantages of running inside Nepal.
Train and deploy vision, speech and multimodal models for agriculture, healthcare, education and industry use cases.
Accelerate simulations, PINNs, climate and domain-specific research that previously hit local hardware limits.
Give students and participants real GPU access for courses and events without the complexity of shared university servers.
Select the right balance of memory, performance and cost for your models.
