GPU VPS Canada

Dedicated NVIDIA GPU. CUDA Ready. Deploy in 60 Seconds.

Get a dedicated NVIDIA GPU server with CUDA support and high-bandwidth VRAM. Built for AI inference, rendering, and machine learning. Canadian data center. NVMe storage. No setup fees.

Canadian data center • Dedicated NVIDIA GPU • CUDA Support • NVMe SSD

Canadian GPU Hosting

GPU VPS Canada – Dedicated NVIDIA GPU Servers for AI and Machine Learning

Looking for a GPU VPS Canada solution for artificial intelligence, deep learning or accelerated computing? iHostVPS offers dedicated NVIDIA GPU infrastructure with CUDA support, NVMe storage and powerful server configurations for demanding workloads.

Our GPU VPS Canada hosting is designed for AI inference, model fine-tuning, computer vision, machine-learning development and GPU-accelerated applications. Choose from three configurations with different amounts of RAM, vCPU resources and storage to match your project requirements.

Whether you are developing AI applications, experimenting with large language models or running automated AI agents, our Canadian GPU servers provide a practical environment for building and testing your projects.

✓ Dedicated NVIDIA GPU
✓ CUDA-ready environment
✓ NVMe SSD storage
✓ Toronto, Canada
✓ AI and ML workloads
✓ 24/7 support
GPU computing infrastructure
Power your next AI project with GPU VPS hosting.

Dedicated NVIDIA GPU resources, CUDA support and machine-learning tools for development, inference and accelerated computing.

NVIDIA GPU CUDA PyTorch TensorFlow Jupyter NVMe
$79.95 USD / month starting price
Dedicated GPU infrastructure

GPU VPS Canada Hosting for Modern AI Workloads

Run compatible AI applications, machine-learning frameworks and GPU-accelerated workloads on dedicated NVIDIA GPU infrastructure hosted in Canada.

GPU VPS Canada – Dedicated NVIDIA GPU Server for AI and Machine Learning
Three GPU server configurations

GPU VPS Canada Plans and Pricing

Compare our GPU VPS Canada plans and select the right server for your AI development, machine-learning, inference or GPU computing requirements.

Entry configuration
GPU VPS 1

For starting GPU-powered projects

$79.95 / month
  • 8 GB RAM
  • 8 vCPU @ 3.10 GHz
  • 100 GB NVMe SSD storage
  • 100 Mbps – 1 Gbps bandwidth
  • PyTorch + TensorFlow pre-installed
  • 1 dedicated IPv4 address
  • Dedicated NVIDIA GPU infrastructure

Check the product page for the exact GPU model and VRAM configuration.

Order GPU VPS 1 →
More system resources
GPU VPS 2

For larger development environments

$149.99 / month
  • 32 GB RAM
  • 16 vCPU @ 3.10 GHz
  • 250 GB NVMe SSD storage
  • 100 Mbps – 1 Gbps bandwidth
  • Full ML stack + Jupyter
  • 1 dedicated IPv4 address
  • Dedicated NVIDIA GPU infrastructure

Check the product page for the exact GPU model and VRAM configuration.

Order GPU VPS 2 →

All prices are in USD and billed monthly. Review each product page for current specifications and ordering details.

AI development software

GPU VPS Canada with CUDA, PyTorch and TensorFlow

Get a GPU-ready development environment for machine learning and AI projects. Our GPU VPS offering includes common tools and software options used by developers working with NVIDIA accelerated computing.

Instead of assembling every component from scratch, start with a server configured for supported machine-learning workflows. The installed software and versions depend on the selected plan and deployment image.

PyTorch

Develop deep-learning models, run inference and experiment with neural networks using a widely adopted machine-learning framework. Official PyTorch website.

TensorFlow

Build and deploy machine-learning applications using Google’s open-source framework. Official TensorFlow website.

JupyterLab

Use an interactive, browser-based environment for notebooks, experimentation and data analysis. Official Jupyter website.

CUDA & cuDNN

Work with NVIDIA GPU computing technologies used by supported accelerated applications. NVIDIA CUDA Toolkit.

Docker

Package applications and their dependencies into containers for repeatable development and deployment. Official Docker website.

Python 3.11+

Use Python for AI development, data processing, automation and machine-learning applications.

Framework, driver and CUDA versions must be compatible with the selected GPU and operating system. Confirm required versions before deployment.

Why iHostVPS?

Why Choose Our GPU VPS Canada Hosting?

Get dedicated GPU resources, Canadian infrastructure and a practical software environment for your AI and accelerated-computing projects.

01

Dedicated NVIDIA GPU

Our GPU VPS service is built around dedicated NVIDIA GPU infrastructure, with GPU resources allocated to your service rather than shared with other GPU VPS customers.

02

CUDA Support

Use CUDA technologies for compatible GPU-accelerated applications, machine-learning frameworks and development workloads.

03

Canadian Data Centre

Your GPU server runs in our Toronto data centre, providing a Canadian hosting location for your applications and computing projects.

04

NVMe SSD Storage

Fast NVMe storage for operating system files, application environments, datasets and development projects.

05

High-Bandwidth Network

Plans include network bandwidth ranging from 100 Mbps to 1 Gbps, as specified in the individual plan details.

06

24/7 Technical Support

Get help with server-related questions and configuration assistance. Contact [email protected] or submit a ticket.

AI and GPU applications

GPU VPS for AI Inference, LLM Fine-Tuning and Machine Learning

A GPU VPS provides dedicated GPU computing resources for developers who need to run compatible machine-learning and accelerated-computing applications.

Large Language Models

Build AI applications, experiment with supported open-source language models and run inference workloads. Model size, quantization, context length and available VRAM affect what can run.

LLM Fine-Tuning

Experiment with fine-tuning workflows and parameter-efficient methods such as LoRA, subject to model memory and compute requirements.

Computer Vision

Develop image classification, object detection, image processing and other computer-vision applications using compatible frameworks.

AI Inference

Run compatible machine-learning models for prediction, text processing, image analysis and other inference workloads.

Jupyter Notebooks

Use interactive notebooks for experiments, data analysis, prototyping and machine-learning development.

AI Agents and Automation

Build and test AI-powered automation, model-backed applications and agent workflows that use GPU acceleration where supported.

GPU-Accelerated Rendering

Run compatible rendering, visualisation and graphics workloads that can take advantage of the available NVIDIA GPU.

Deep Learning Research

Develop, test and evaluate neural networks and machine-learning models using GPU-enabled development environments.

NVIDIA accelerated computing

NVIDIA GPU VPS with CUDA Support

CUDA is NVIDIA’s parallel computing platform and programming model. It enables supported applications to use NVIDIA GPUs for accelerated computation.

For AI developers, CUDA compatibility is an important part of the software environment. Frameworks such as PyTorch and TensorFlow can use supported NVIDIA GPU configurations to accelerate compatible operations.

Our GPU VPS Canada service is intended for CUDA-supported development and workloads. Specific driver, CUDA toolkit and framework compatibility depends on the deployed software versions.

Read more in the official NVIDIA CUDA documentation.

GPU-ready development environment

  • NVIDIA GPU infrastructure
  • CUDA support for compatible workloads
  • PyTorch and TensorFlow options
  • Jupyter-based development
  • Docker for containerised applications
  • Python development environment

Check software compatibility before installing a particular model, framework or CUDA version.

Understanding GPU memory

GPU VPS Canada Plans and NVIDIA VRAM

GPU memory, also known as VRAM, is one of the most important considerations when selecting a GPU VPS for AI workloads. It determines how much model data, intermediate computation and other GPU-resident information can fit into memory.

The supplied specifications identify a 24 GB VRAM NVIDIA GPU on GPU VPS 3. The overall service information describes GPU configurations ranging from 8 GB to 24 GB VRAM depending on the plan.

If your project requires a particular VRAM capacity, GPU model or CUDA capability, confirm the exact configuration on the relevant GPU VPS product page before ordering.

What affects GPU memory requirements?

  • Model architecture and parameter count
  • Precision, quantization and model format
  • Batch size and context length
  • Training versus inference workload
  • Framework overhead and intermediate tensors
  • Other applications running on the GPU
Canadian infrastructure

GPU VPS Canada Hosting in Toronto

Our GPU VPS Canada service runs in the iHostVPS Toronto data centre. A Canadian hosting location can be useful for developers, businesses and research projects that want their server infrastructure hosted in Canada.

Toronto provides a North American network location for connecting to users, applications, APIs and other infrastructure. Actual latency depends on the network path, destination and internet provider.

For organisations with data residency requirements, assess your legal, contractual and regulatory obligations before selecting a hosting location. A Canadian server location alone does not establish compliance with every data protection requirement.

Canadian GPU hosting features

  • Toronto data centre location
  • Dedicated NVIDIA GPU infrastructure
  • Dedicated IPv4 address
  • NVMe SSD storage
  • 100 Mbps – 1 Gbps bandwidth
  • 24/7 support availability
Quick server provisioning

Deploy Your GPU VPS Canada Server in 60 Seconds

Get started without purchasing physical hardware or building a server from scratch. Our advertised deployment target is within 60 seconds after purchase.

1

Choose Your GPU VPS Plan

Compare the available memory, vCPU, storage and GPU specifications. Select the configuration that suits your project.

2

Complete Your Order

Select your preferred GPU VPS plan and complete checkout through the iHostVPS client area.

3

Connect and Start Building

Access your deployed server and start configuring AI applications, machine-learning frameworks and GPU workloads.

Flexible monthly hosting

GPU Computing Without Buying Physical Hardware

Building a local GPU workstation or maintaining physical GPU servers can require a significant upfront investment. GPU VPS hosting gives you access to a hosted computing environment through a monthly service.

Start with the configuration that matches your current requirements. Choose a larger plan when your workload demands more system resources or GPU memory, subject to available configurations.

Why use GPU VPS hosting?

  • No physical GPU server to purchase
  • No local hardware maintenance
  • Monthly plan pricing
  • No long-term contracts
  • No setup fees
  • Three configurations to choose from
Technical assistance

24/7 GPU VPS Canada Support

Need help with your GPU VPS, server access or software environment? The iHostVPS support team is available 24/7.

Contact our team for assistance with your hosting service, configuration questions and server-related troubleshooting.

Contact Support →

Contact iHostVPS

Availability24/7
Support channelClient ticket portal

For account-specific issues, submit a ticket through the client area so our team can identify your service.

Frequently asked questions

GPU VPS Canada Frequently Asked Questions

Find answers about NVIDIA GPU hosting, VRAM, CUDA support, operating systems, deployment, uptime and technical assistance.

What GPU is included with GPU VPS Canada?

Our GPU VPS plans use NVIDIA GPU infrastructure with CUDA support. The supplied service information describes VRAM configurations ranging from 8 GB to 24 GB depending on the plan, and specifically lists a 24 GB VRAM NVIDIA GPU on GPU VPS 3. Check the individual product page for the exact GPU model and configuration before ordering.

Can I install my own machine-learning frameworks?

Yes. You can install compatible software and frameworks for your workloads, subject to the operating system, permissions and available server resources. The supplied plan descriptions include PyTorch and TensorFlow on GPU VPS 1 and a full machine-learning stack with Jupyter on GPU VPS 2.

Is GPU VPS hosting Windows or Linux?

Confirm the available operating system options on the individual GPU VPS product page before ordering. Your operating system choice matters because NVIDIA drivers, CUDA, Python packages and machine-learning frameworks have specific compatibility requirements.

How fast is GPU VPS deployment?

Our advertised deployment target is within 60 seconds after purchase. Actual provisioning can depend on availability and deployment conditions.

What is the uptime guarantee?

For the applicable uptime commitment, service-level terms and any exclusions, refer to the current iHostVPS terms of service or contact support before ordering. Contact our team if you need clarification before purchasing.

Do you provide 24/7 support?

Yes. iHostVPS support is available 24/7. You can contact [email protected] or open a ticket through the client area.

Can I run large language models on a GPU VPS?

You can run compatible LLM inference and development workloads, but the models you can run depend on GPU VRAM, system RAM, model size, quantization, context length and software requirements. Check your model’s hardware requirements against the selected plan.

Can I fine-tune Llama models?

Some Llama fine-tuning and parameter-efficient training workflows may be possible depending on the model version, training method, VRAM and available system resources. Larger models and full fine-tuning can require substantially more GPU memory and compute.

What is CUDA and why does it matter?

CUDA is NVIDIA’s parallel computing platform and programming model. It allows compatible applications and machine-learning frameworks to use NVIDIA GPUs for accelerated computation.

What is the difference between GPU VPS 1, 2 and 3?

The plans differ in RAM, vCPU resources, storage, included software and price. GPU VPS 1 includes 8 GB RAM, 8 vCPU and 100 GB NVMe storage at $79.95 per month. GPU VPS 2 includes 32 GB RAM, 16 vCPU and 250 GB NVMe storage at $149.99 per month. GPU VPS 3 includes 64 GB RAM, 24 vCPU, 250 GB NVMe storage and an NVIDIA GPU with 24 GB VRAM at $249.99 per month.

Where is the GPU VPS hosted?

Our GPU VPS service is hosted in the iHostVPS Toronto data centre in Canada.

Do GPU VPS plans include a dedicated IP address?

Yes. Each plan includes one dedicated IPv4 address, as listed in the supplied plan specifications.

Are there setup fees or long-term contracts?

Our GPU VPS offering is advertised with no setup fees and no long-term contracts. The plans are listed with monthly pricing.

How much does GPU VPS Canada hosting cost?

GPU VPS 1 starts at $79.95 per month, GPU VPS 2 is $149.99 per month and GPU VPS 3 is $249.99 per month. Prices are in USD.

What payment methods do you accept?

iHostVPS supports credit and debit cards through Stripe, PayPal, major cryptocurrencies and stablecoins. Available methods are shown during checkout.

Convenient checkout

GPU VPS Canada Payment Methods

Choose from the supported payment methods available through the iHostVPS client area when ordering your GPU VPS.

Credit & Debit Cards
PayPal
Cryptocurrency
Stablecoins

Card payments are processed through Stripe. Available payment methods may vary by region and payment processor.

Start building with GPU computing

Get Your GPU VPS Canada Server Today

Power your AI projects, machine-learning experiments and GPU-accelerated applications with dedicated NVIDIA GPU infrastructure hosted in Toronto. Choose from three GPU VPS configurations, get your server deployed and start building with iHostVPS.

Scroll to Top