Nepal's First Complete AI Cloud

High-Performance GPU Cloud. Hosted in Nepal.
Built for AI.

Nepal's first sovereign AI cloud — access powerful NVIDIA GPUs hosted right here in Kathmandu. Train models, deploy LLMs, run inference, and accelerate research without expensive hardware imports or foreign cloud latency. Built for Nepali businesses, researchers, and developers.

✓ Flexible hourly & monthly billing ✓ Instant provisioning ✓ Local support
Why Choose DataHub GPU Cloud

Enterprise-Grade GPU Infrastructure

Access the latest NVIDIA GPU technologies designed for AI training, inference, data science, simulation, rendering, and high-performance computing — now available in Nepal .

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Pay Only for What You Use

Eliminate large capital investments. Scale GPU resources up or down based on your workload requirements.

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Instant Deployment

Deploy GPU instances, virtual machines, containers, and AI environments within minutes.

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Local Support Team

Get support from engineers who understand your business and can respond quickly when you need assistance.

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Secure & Reliable

Enterprise-grade infrastructure with secure multi-tenant environments, isolated workloads, continuous monitoring, and SLA-backed availability.

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Built for AI

Pre-configured environments for Large Language Models (LLMs), Generative AI, Machine Learning, Deep Learning, Computer Vision, Data Science, AI Agents, and MLOps.

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Enterprise GPU Infrastructure

Access the latest NVIDIA GPU technologies designed for AI training, inference, and high-performance computing.

The Hardware

Four NVIDIA GPUs. One Purpose: To Make Nepal's AI Builders World-Class.

The same GPUs powering the world's leading AI labs — now available in Nepal .

Coming Soon

NVIDIA H200 NVL 141GB

Hopper · Data Center · Enterprise AI Training

VRAM
141 GB
Memory
HBM3e
Bandwidth
4.8 TB/s
Ideal for
Large-scale training
NPR — Coming Soon
Get Early Access →
Popular

NVIDIA H100 PCIe 80GB

Hopper · Data Center · AI Training Benchmark

VRAM
80 GB
Memory
HBM2e
Bandwidth
2 TB/s
Ideal for
LLM fine-tuning
NPR 350.00 /GPU/hour
Contact Us →
New

NVIDIA RTX PRO 6000 Blackwell 96GB

Blackwell · Workstation · Memory Champion

VRAM
96 GB
Memory
GDDR7
Bandwidth
~1.8 TB/s
Ideal for
Inference + Rendering
NPR 150 /GPU/hour
Contact Us →
Best Value

NVIDIA L4 24GB

Ada Lovelace · Data Center · Efficiency Expert

VRAM
24 GB
Memory
GDDR6
Bandwidth
300 GB/s
Ideal for
Inference serving
NPR 50 /GPU/hour
Contact Us →
The Problem

Nepal's AI Builders Deserve Better Than What They Have.

Every day, Nepali AI teams, researchers, and enterprises lose time, money, and opportunity to infrastructure that was never built for them. Here is what that costs — and why it matters.

Wasting Weeks on Setup

Installing CUDA, configuring drivers, debugging dependency conflicts, managing container runtimes — the infrastructure tax on every AI project before real work can begin. Teams spend 30-40% of project time on environment setup that should take minutes.

Paying in USD with FX Risk

Foreign GPU clouds mean USD billing, foreign currency accounts, NRB approval friction, and unpredictable exchange rate exposure. For every NPR 1M in GPU spend, FX volatility alone can cost NPR 50,000-100,000. This is not how Nepali businesses should operate.

Your Data Leaves Nepal

Every training run, every dataset, every model — shipped across international borders because there was no sovereign GPU infrastructure. For regulated industries — banks, insurance, healthcare — this is a compliance risk that legal teams are increasingly unwilling to accept.

Support That Works in Nepal Time

Foreign cloud providers offer ticket portals and chatbots. When your training run crashes at 2 AM Nepal time, you wait hours for a response from someone in a different time zone who has never heard of Kathmandu. Production downtime should not be a cultural barrier.

The Solution

DataHub GPU — Nepal's AI Cloud, Built for How Nepal Works.

Three tiers of GPU infrastructure. One platform. No FX — Billed in NPR. No data leaving the country. Support that answers in Nepali, in Nepal Standard Time.

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For Learners & Researchers

DataHub AI Lab

Nepal's first managed AI experimentation environment

GPU access, pre-built notebooks, monitoring tools, and collaborative workspaces — designed to remove every barrier between a curious mind and a running AI model. No infrastructure knowledge required. Start learning in minutes, not days.

Perfect for

  • Students & Researchers
  • University Labs
  • AI Bootcamps
  • Enterprise AI Upskilling Programs

Includes pre-configured Jupyter environments, collaborative workspaces, GPU monitoring dashboards, and access to Nepal's sovereign AI infrastructure.

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For ML Engineers & AI Teams

DataHub GPU Workspace

High-performance GPU virtual machines, on-demand

NVIDIA H100, RTX PRO 6000 Blackwell, and L4 — provisioned on-demand, pre-configured with full AI stacks, and ready for serious training, fine-tuning, and inference workloads. Pay in NPR. Launch in minutes. Scale from one GPU to a cluster instantly.

Perfect for

  • ML Engineers & Data Scientists
  • AI Startups
  • Enterprise Teams
  • Production Inference APIs

Includes pre-installed CUDA, PyTorch, TensorFlow, vLLM, DeepSpeed, Jupyter, and full root access. Deploy in minutes with billing in NPR.

Cost Comparison

Why Rent GPUs Instead of Buying?

Purchasing enterprise GPUs requires significant upfront investment, ongoing maintenance, cooling, power, and infrastructure management.

❌ Buying GPUs

  • ✘ Large capital investment required
  • ✘ Ongoing maintenance costs
  • ✘ Infrastructure complexity
  • ✘ Slow deployment cycles
  • ✘ Limited scalability
  • ✘ Unpredictable total cost
  • ✘ Technology obsolescence risk

✅ DataHub GPU Cloud

  • ✓ No hardware investment
  • ✓ No maintenance costs
  • ✓ No infrastructure complexity
  • ✓ Faster deployment
  • ✓ Better scalability
  • ✓ Predictable operating expenses
  • ✓ Always access modern GPU technology
Why Choose DataHub GPU

Six Reasons Nepal's Smartest AI Teams Build on DataHub.

🛡️

Sovereign by Default

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Global Hardware, Local Latency

One Platform, Full Lifecycle

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NPR Billing — No FX, No Friction

📞

Support That Answers — Always

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Enterprise Security, Nepali Standards

How It Works

Four Steps from Zero to Production AI.

DataHub GPU is designed to remove every obstacle between your team and running AI workloads. Here is how straightforward it is.

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Step 1

Get in Touch

Contact our team through phone, WhatsApp, or the contact form. Tell us about your workload - training, inference, research, or production. We will recommend the right GPU tier and configuration for your specific use case.

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Step 2

Get Started in Minutes

Receive your pre-configured environment with everything installed - CUDA, PyTorch, TensorFlow, Jupyter, vLLM. No setup, no configuration, no infrastructure tax. Your GPU hours start the moment you are ready.

🤖
Step 3

Build, Train, Deploy

Run experiments in AI Lab. Train models on H100 or RTX PRO 6000 Blackwell clusters in GPU Workspace. Deploy inference APIs with sub-30ms latency. Scale from one GPU to a cluster without changing your workflow.

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Step 4

Scale with Confidence

Move from on-demand to reserved instances for production. Upgrade to Bare Metal for maximum performance. Our team in Kathmandu monitors your infrastructure 24/7. When you grow, your infrastructure grows with you — seamlessly.

Frequently Asked Questions

Everything You Need to Know About Nepal's AI Cloud.

How is DataHub different from using AWS, GCP, or Azure GPUs?+

DataHub GPU is built inside Nepal for Nepal. Every GPU node is physically located in Kathmandu. You are billed in NPR, can pay with eSewa or Khalti, and do not need foreign currency or NRB approval. Your data stays in Nepal, which is critical for regulated industries. And you get local support in Nepal Standard Time — not a ticket portal in a different hemisphere.

What GPUs are available and which one should I choose?

We offer three GPU tiers: NVIDIA H100 80GB for enterprise AI training, RTX PRO 6000 Blackwell 96GB for large-model inference and rendering, and NVIDIA L4 24GB for cost-efficient inference and light training. If you are unsure which fits your workload, contact us — our team will help you choose.

Can I pay in NPR? What payment methods do you accept?+

Yes — all pricing is in NPR. We accept eSewa, Khalti, bank transfer, and corporate invoices. No USD, no foreign currency, no NRB approval required. GPU compute priced and billed the way Nepali businesses operate.

How fast can I get started?+

Contact us, tell us about your workload, and we can have you running on a pre-configured GPU instance in minutes. AI Lab users get immediate access to Jupyter environments. Enterprise teams can have dedicated Bare Metal servers provisioned the same day.

Is my data secure and compliant with Nepali regulations?+

Absolutely. All infrastructure is hosted in a Tier III equivalent data center in Kathmandu with biometric access, 2N UPS, and redundant fiber. Your data never leaves Nepal. Our architecture supports compliance with Nepal's IT Act, NRB data governance directives, and sector-specific regulations for banking, insurance, and healthcare.

Do you offer trials or credits?+

Yes — new users receive GPU hours to explore the platform. Academic researchers and university labs may qualify for additional credits through our AI Lab program. Contact us to get started.

What support options are available?+

24/7 support in Nepal Standard Time via phone, WhatsApp, Viber, and email. Same team that has powered Nepal's banks, hospitals, and fintechs since 2017. Phone: +977-1-5970216 | WhatsApp: +977-9861492387 | Email: support@datahub.com.np

Can I upgrade my GPU plan as my workloads grow?+

Yes — you can scale from one GPU tier to another at any time. Need more VRAM mid-project? Move from L4 to H100 or RTX PRO 6000 without re-deploying your environment.

Get In Touch

Always at your service

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Phone
+977-1-5970216
24/7 Support
✉
Email
info@datahub.com.np
📍
Location
2nd Floor, Shikhar Biz Center, Thapathali, Kathmandu, Nepal
DataHub Nepal office — 2nd Floor, Shikhar Biz Center, Thapathali, Kathmandu
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