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GPU Cloud for Bhutan

Rent GPU Cloud

Qpeck's enterprise GPU cloud runs dedicated NVIDIA H100, H200, A100, and L40S hardware, connected with InfiniBand and NVLink, and shipped with the software stack your ML team already uses — CUDA, PyTorch, Kubernetes, and more, deploy in minutes with transparent BTN pricing Hourly or monthly billing and 24/7 support.

Low Latency
99.9% Uptime
Billing in BTN
GPU infrastructure

GPU Infrastructure built for Production AI

Every GPU instance on Qpeck is dedicated hardware, not a fractional slice of a shared card, connected and stored the way production AI workloads actually need.

Compute & Networking
GPU Allocation
Dedicated GPUs (No Shared Slices)
GPU Interconnect
NVLink High-Speed Communication
Cluster Networking
InfiniBand Networking
CPU
High Core Count Processors
Memory
Optimized for GPU Workloads
Private Network
Isolated VLAN per Project
Storage, Security & Reliability
Storage
Enterprise NVMe SSD
Snapshots
Automatic Backups
Security
SSH Keys, API Tokens & Audit Logs
Monitoring
GPU & Network Metrics
Availability
99.9% Uptime SLA
Support
24×7 Infrastructure Engineers
GPU pricing

GPU cloud pricing

Pick the right GPU for your workload. Every plan displays the complete hardware specification and transparent hourly pricing.

training
NVIDIA B200
Memory 192GB HBM3e
Bandwidth 8 TB/s
Interconnect NVLink
Architecture Blackwell

Best for frontier AI training, trillion-parameter models, and multi-node GPU clusters.

Starting from

Nu575

/hour
Deploy
training
NVIDIA H200
Memory 141GB HBM3e
Bandwidth 4.8 TB/s
Interconnect NVLink
Architecture Hopper

Best for LLM training, fine-tuning, and high-memory AI inference.

Starting from

Nu383

/hour
Deploy
training
NVIDIA H100 SXM5
Memory 80GB HBM3
Bandwidth 3.35 TB/s
Interconnect NVLink
Architecture Hopper

Best for large model training, distributed AI workloads, and enterprise inference.

Starting from

Nu239

/hour
Deploy
training
NVIDIA A100 80GB
Memory 80GB HBM2e
Bandwidth 2 TB/s
Interconnect NVLink
Architecture Ampere

Best for AI training, HPC applications, and production inference.

Starting from

Nu181

/hour
Deploy
inference
NVIDIA L40S
Memory 48GB GDDR6
Bandwidth 864 GB/s
Interconnect PCIe
Architecture Ada Lovelace

Best for image generation, video AI, and large-scale inference.

Starting from

Nu124

/hour
Deploy
workstation
NVIDIA RTX PRO 6000
Memory 96GB GDDR7
Bandwidth 1.8 TB/s
Interconnect PCIe
Architecture Blackwell

Best for AI development, rendering, simulation, and creative applications.

Starting from

Nu210

/hour
Deploy
inference
NVIDIA L4
Memory 24GB GDDR6
Bandwidth 300 GB/s
Interconnect PCIe
Architecture Ada Lovelace

Best for cost-efficient inference, video analytics, and edge AI.

Starting from

Nu66

/hour
Deploy
inference
NVIDIA A30
Memory 24GB HBM2
Bandwidth 933 GB/s
Interconnect PCIe
Architecture Ampere

Best for enterprise inference, analytics, and mixed AI workloads.

Starting from

Nu85

/hour
Deploy
Software layer

Ready for your stack on day one

PyTorch TensorFlow JAX vLLM TensorRT Ollama Docker Kubernetes CUDA cuDNN NCCL
Deploy

Deploy AI Infrastructure Your Way

Choose between on-demand GPU Cloud instances for AI development, inference, and research, or dedicated GPU Clusters designed for distributed training, enterprise AI, and large-scale production workloads.

GPU Cloud

Full control

Deploy NVIDIA GPU instances in minutes with full root access for AI development, fine-tuning, inference, computer vision, rendering, and high-performance computing.

Best For
AI Development
Fine-Tuning
AI Inference
Research
Computer Vision
Rendering
Features
  • Hourly & Monthly Billing
  • Full Root Access
  • Instant Provisioning
  • NVIDIA H100, H200, A100, L40S & RTX GPUs
  • Enterprise NVMe SSD Storage
  • Private Networking

GPU Clusters

Large-scale training

Build dedicated multi-GPU clusters for distributed AI training, foundation models, high-performance computing, and enterprise production workloads with scalable infrastructure.

Best For
LLM Training
Deep Learning
Distributed AI
HPC
Enterprise AI
Multi-GPU Workloads
Features
  • Dedicated Multi-GPU Infrastructure
  • Multi-Node GPU Scaling
  • NVLink & High-Speed Networking
  • Enterprise Storage
  • Custom Cluster Architecture
  • Infrastructure Consultation
GPU Cloud

What is GPU Cloud?

GPU Cloud provides on-demand GPU virtual machines (GPU VMs) equipped with NVIDIA GPUs for AI development, machine learning, deep learning, rendering, and high-performance computing. Each instance includes full root access, SSH connectivity, and dedicated compute resources, allowing you to install and manage your preferred operating system, AI frameworks, libraries, and development tools.

GPU Cloud Cluster Pricing Deploy

Included with Every Qpeck GPU Cloud Instance

  • Full Root Access
  • SSH Connectivity
  • Ubuntu & Custom Images
  • CUDA Ready
  • PyTorch & TensorFlow
  • Docker & Kubernetes
  • Ollama & vLLM
  • NVMe SSD Storage
  • Private Networking
Use cases

Built for every AI workload

Start with what you're building — the right GPU follows.

LLM training & fine-tuning

Train and fine-tune large language models like Llama and DeepSeek across multi-GPU nodes with NVLink and InfiniBand.

H100 / H200
AI inference & deployment

Serve production inference endpoints with autoscaling and low latency using vLLM, TensorRT, or Ollama.

L40S
Computer vision & generative AI

Train detection and classification models, or run Stable Diffusion image generation, against fast NVMe storage.

A100
Research & experimentation

Prototype quickly with pre-installed PyTorch and TensorFlow — an affordable entry point while you iterate.

RTX A6000
Speech AI Recommendation systems Scientific computing Rendering Digital twins Financial modeling
From provisioning to production

Five steps to a running workload

The same basic workflow, whether it's a single GPU or a multi-node training cluster.

01

Choose GPU & count

Spin up one GPU or a multi-node cluster

02

Bring your environment

Use a preinstalled framework image or your own container.

03

Train or fine-tune

Run distributed jobs across NVLink and InfiniBand.

04

Serve in production

Serve the model behind your own API with vLLM or Ollama.

05

Add capacity as needed

Grow from one GPU to a cluster on the same platform.

Model deployment

Popular models, ready to deploy

Launch leading open-weight models with pre-configured templates -- or deploy your own custom AI models and frameworks with full root access.

Text Generation

Llama 4 Scout

General-purpose language model for chat, content generation, summarization, and AI assistants.

Reasoning AI

DeepSeek R1

Advanced reasoning model optimized for coding, mathematics, and complex problem solving.

Multimodal AI

Qwen 3.5

Vision-language model for text generation, image understanding, and multimodal applications.

Open Language Model

Gemma 3

Lightweight open model for conversational AI, document processing, and natural language tasks.

Image Generation

FLUX.1 Dev

Text-to-image model for creating high-quality images from natural language prompts.

Speech-to-Text

Whisper Large v3

Automatic speech recognition model for transcription, subtitles, and multilingual audio processing.

Video Generation

LTX-Video

Text-to-video model for generating high-quality videos from text prompts.

Computer Vision

SAM 2

Image segmentation model for object detection, annotation, and computer vision workflows.

Decision guide

Where we're different.

You've probably already got a browser tab open comparing GPU clouds. Here's the honest version of that comparison.

Qpeck Marketplace clouds Hyperscalers
Deployment Ready in minutes Depends on host availability Provisioning and approvals may take longer
Pricing Transparent hourly and monthly pricing Dynamic pricing varies by host Usage-based pricing with multiple service charges
Infrastructure Managed NVIDIA GPU cloud and GPU clusters Community-hosted hardware Enterprise cloud infrastructure
Software Stack Pre-configured AI templates or full root access Varies by provider Manual environment setup often required
Scalability Single GPUs or multi-node GPU clusters Limited by host inventory Highly scalable with enterprise tooling
Support Direct technical support from Qpeck Varies by individual host Enterprise support plans available
Billing Simple hourly or monthly billing Varies by marketplace Complex billing across multiple cloud services
Best For AI inference, fine-tuning, training, and GPU clusters Cost-sensitive experiments Large enterprise cloud ecosystems
Get Started

Deploy Your AI Workload on GPU Cloud Infrastructure

Deploy NVIDIA GPU cloud instances in minutes or work with our team to design high-performance GPU clusters for AI training, inference, and production workloads. Starting from Nu66/hr

Talk to Sales View GPU Pricing

Frequently Asked Questions

How do I rent a GPU from Qpeck?

Create a Qpeck account, choose your preferred GPU, and deploy your instance. Connect over SSH and start training, fine-tuning, or running AI models within minutes.

Qpeck offers NVIDIA L4, A30, L40S, RTX PRO 6000, A100 80GB, H100 SXM5, H200, and B200 GPUs for AI workloads of all sizes.

Qpeck GPU Cloud plans start from Nu66/hour for NVIDIA L4 GPUs, with transparent hourly pricing across all available GPU models.

The right GPU depends on your model size. L4 and A30 are suitable for inference and development, while A100, H100, H200, and B200 are designed for large-scale AI training.

Yes. You have full root access to install your preferred AI frameworks, custom models, and dependencies, or choose from pre-configured AI templates.

You can run PyTorch, TensorFlow, CUDA, Docker, Ollama, vLLM, Hugging Face Transformers, ComfyUI, Kubernetes, and other AI frameworks on Qpeck GPU Cloud.

Yes. You can deploy popular open-weight models such as Llama, DeepSeek, Qwen, Gemma, FLUX, Whisper, and many others on your GPU instance.

Yes. Qpeck supports GPU clusters for distributed AI training, fine-tuning, and high-performance machine learning workloads.

Qpeck GPU Cloud is hosted in our datacenter Asia-Pacific region - India , delivering low-latency connectivity for businesses and developers in Bhutan and nearby regions .

Yes. Each GPU instance runs in an isolated environment with full administrative control, so only you can access your applications and data.

Yes. Qpeck accepts payments in Bhutanese Ngultrum (BTN) and supports popular payment methods e.g. Visa Card, Master Card, American Express, Diners Club, Apple Pay.

GPU Cloud can be used for LLM inference, AI model training, fine-tuning, image generation, video generation, speech recognition, computer vision, data science, and HPC workloads.

Qpeck combines enterprise NVIDIA GPUs, transparent pricing starting at Nu66/hour, AI-ready templates, full root access, and GPU cluster support on a single platform.

Our most affordable GPU Cloud plan starts at Nu66/hour with NVIDIA L4, making it suitable for AI inference, development, and testing workloads.

Qpeck offers the following NVIDIA GPUs with flexible hourly pricing:

  • NVIDIA B200 — Nu575/hour
  • NVIDIA H200 — Nu383/hour
  • NVIDIA H100 SXM5 — Nu239/hour
  • NVIDIA A100 80GB — Nu181/hour
  • NVIDIA L40S — Nu124/hour
  • NVIDIA RTX PRO 6000 — Nu210/hour
  • NVIDIA L4 — Nu66/hour
  • NVIDIA A30 — Nu85/hour