Virtual GPU Acceleration
Use GPU-accelerated VPS resources for AI tools, CUDA workloads, inference, and rendering without managing physical GPU hardware.
GPU VPS Hosting for AI and CUDA
Launch a virtual GPU server for AI development, inference, CUDA workloads, rendering, and accelerated compute.
PerLod GPU VPS gives developers and teams access to GPU-accelerated virtual servers without the cost or complexity of a full dedicated GPU machine. Build AI environments, test models, run inference, prepare CUDA workloads, and scale your compute resources as your project grows.
Why Choose PerLod GPU VPS
A practical GPU cloud VPS platform for teams that need acceleration, flexibility, and a lower entry point than dedicated GPU hardware.
Affordable AI Compute
Start smaller than a GPU dedicated server while still getting the acceleration needed for development and testing workloads.
Global GPU VPS Availability
Launch GPU VPS plans in available global regions to reduce latency for AI apps, inference workloads, and remote GPU access.
Find and Configure Your GPU VPS Plan
Choose the GPU VPS configuration that fits your AI development, inference, rendering, CUDA, or accelerated compute workload.
Save 12% with annual billing
VG-3011
NVIDIA GeForce RTX 4090
- GPU: NVIDIA GeForce RTX 4090 · 24 GB GDDR6X
- CPU: AMD EPYC 7402
- Core/Threads: 24c / 48t
- Frequency: 2.8 ~ 3.35 GHz
- RAM: 64 GB DDR4
- Storage: 240 GB NVMe
- Port: 1 Gbps Public Network
- Bandwidth: 50 TB/Monthly
- Delivery Time: Typically Ready Within 2 Hours
- Location :
$376.33/mo
Configure
5 Servers Available
VG-1011
NVIDIA GeForce GTX 1080 Ti
- GPU: NVIDIA GeForce GTX 1080 Ti · 11 GB GDDR5X
- CPU: Intel Xeon E5-26xx
- Core/Threads: 8c / 8t
- Frequency: 2.4 GHz
- RAM: 32 GB DDR4
- Storage: 240 GB SSD
- Port: 1 Gbps Public Network
- Bandwidth: 50 TB/Monthly
- Delivery Time: Typically Ready Within 2 Hours
- Location :
$93.67/mo
Sold Out
Out of stock
VG-1010
NVIDIA GeForce GTX 1080
- GPU: NVIDIA GeForce GTX 1080 · 8 GB GDDR5X
- CPU: Intel Xeon E5-2660 v3
- Core/Threads: 10c / 20t
- Frequency: 2.6 ~ 3.3 GHz
- RAM: 16 GB DDR4
- Storage: 240 GB SSD
- Port: 1 Gbps Public Network
- Bandwidth: 50 TB/Monthly
- Delivery Time: Typically Ready Within 2 Hours
- Location :
$100.33/mo
Sold Out
Out of stock
VG-1012
NVIDIA RTX A4000
- GPU: NVIDIA RTX A4000 · 16 GB GDDR6 ECC
- CPU: AMD EPYC 7551
- Core/Threads: 32c / 64t
- Frequency: 2 ~ 3 GHz
- RAM: 32 GB DDR4
- Storage: 240 GB SSD
- Port: 1 Gbps Public Network
- Bandwidth: 50 TB/Monthly
- Delivery Time: Typically Ready Within 2 Hours
- Location :
$159.17/mo
Sold Out
Out of stock
VG-2061
NVIDIA RTX A5000
- GPU: NVIDIA RTX A5000 · 24 GB GDDR6 ECC
- CPU: Intel Xeon Gold 6230
- Core/Threads: 20c / 40t
- Frequency: 2.1 ~ 3.9 GHz
- RAM: 32 GB DDR4
- Storage: 240 GB SSD
- Port: 1 Gbps Public Network
- Bandwidth: 30 TB/Monthly
- Delivery Time: Typically Ready Within 4 Hours
- Location :
$239.33/mo
Sold Out
Out of stock
VG-3010
NVIDIA GeForce RTX 4090
- GPU: NVIDIA GeForce RTX 4090 · 24 GB GDDR6X
- CPU: AMD EPYC 7402
- Core/Threads: 24c / 48t
- Frequency: 2.8 ~ 3.35 GHz
- RAM: 64 GB DDR4
- Storage: 720 GB NVMe
- Port: 1 Gbps Public Network
- Bandwidth: 50 TB/Monthly
- Delivery Time: Typically Ready Within 2 Hours
- Location :
$426.58/mo
Sold Out
Out of stock
GPU VPS Ready Operating Systems
Choose a Linux OS for CUDA environments, AI frameworks, model-serving tools, and development stacks.
Use Ubuntu or Debian for AI development, CUDA packages, Python environments, Docker workflows, and inference stacks. Every GPU VPS gives you a clean server environment that can be prepared for frameworks, libraries, and GPU-accelerated software based on your workload.
Select a Linux OS to view supported versions.
Supported Versions
22.04 LTS, 24.04 LTS, 26.04 LTS
Which GPU VPS Use Case Fits You?
Use GPU VPS when your project needs acceleration but does not require a full physical GPU dedicated server.
AI Development And Testing
Build, test, and refine AI projects in a GPU-enabled VPS environment before moving larger workloads to production.
Inference And Model Serving
Run small to mid-size inference services and model-serving stacks on virtual GPU resources with flexible server control.
CUDA Workloads
Prepare CUDA-based applications, test GPU libraries, and run accelerated compute tasks in a VPS environment.
Rendering And Visual Workloads
Use GPU acceleration for rendering, visual processing, media tasks, and creative workloads that need more power than CPU-only VPS plans.
Machine Learning Prototyping
Prototype machine learning workflows, experiment with libraries, and validate workloads before committing to larger infrastructure.
GPU Powered Dev Environments
Create remote GPU-enabled development environments for teams that need repeatable Linux setups and accelerated compute access.
GPU VPS Platform Highlights
Platform benefits included with every PerLod GPU VPS.
App Marketplace
Quickly deploy apps with one-click installs.
Flexible Support
Reliable help from experts anytime you need it.
Privacy-First
Your infrastructure runs on secure, data-safe systems.
Crypto Payments
Pay with USDT or USDC for simple checkout.
What You Get With PerLod GPU VPS
GPU VPS infrastructure built for AI developers, technical teams, and accelerated cloud workloads.
GPU Accelerated Compute
Access GPU acceleration for AI, CUDA, inference, rendering, and development workloads from a flexible VPS environment.
Enterprise NVMe Storage
Fast NVMe storage helps keep datasets, packages, containers, and model files responsive during active development.
KVM-Based VPS Isolation
KVM-based isolation gives your GPU VPS a controlled virtual environment with reserved server resources.
Root Access and SSH
Manage packages, drivers, frameworks, users, services, and runtime environments with full root and SSH access.
AI Stack Flexibility
Prepare Python, Docker, CUDA-aware tools, inference runtimes, and model-serving stacks based on your own workflow.
Expert GPU VPS Support
Get help with GPU VPS setup, environment preparation, OS tasks, and troubleshooting for AI, CUDA, and accelerated workloads.
Tools and Support for GPU VPS
Manage your GPU VPS environment with practical tools and optional expert support.
Use the PerLod panel to reboot, reinstall, or change the operating system when your GPU VPS environment needs a clean start. Monitor basic CPU, RAM, disk, and server usage, prepare your AI or CUDA stack through SSH, and get support for platform-level issues. If your project needs help with setup, package installation, or environment preparation, you can add a higher support tier for deeper technical assistance.
Built for Flexible GPU Workloads
GPU VPS plans designed for development, testing, inference, and practical accelerated compute.
PerLod GPU VPS is built for users who need GPU acceleration without jumping straight into full physical GPU infrastructure. Run AI experiments, prepare CUDA environments, test model-serving stacks, process visual workloads, or build remote GPU development environments on a VPS that stays flexible as your project changes. When your workload grows beyond virtual GPU resources, you can later move heavier production tasks to PerLod GPU Dedicated Servers with a clear upgrade path.
GPU VPS FAQs
Answers to common questions about GPU VPS plans, use cases, control, and payments.
GPU VPS hosting is a virtual private server service that includes access to GPU acceleration for workloads such as AI development, CUDA applications, inference, model testing, rendering, and accelerated compute. It gives users a more flexible and affordable way to use GPU resources without moving directly to a full GPU dedicated server.
A GPU VPS is a good fit for developers, AI builders, researchers, small teams, and technical users who need GPU acceleration for testing, prototyping, inference, model serving, rendering, or lightweight machine learning workloads. It is especially useful when a full dedicated GPU server is more than the project currently needs.
No. A GPU VPS is a virtual server with GPU acceleration, while a GPU dedicated server is a physical server with dedicated GPU hardware and deeper hardware-level control. GPU VPS is usually better for flexible, smaller, or development-focused workloads, while GPU dedicated servers are better for heavy production workloads that need maximum control and consistent hardware capacity.
Yes. GPU VPS plans can be used for CUDA-based workloads and AI software stacks, depending on the selected configuration and operating system. You can prepare environments for frameworks, inference tools, model testing, and other GPU-accelerated workloads.
PerLod GPU VPS plans are unmanaged by default, giving you control over your operating system, packages, runtime environment, and software stack. If you need help with installation, configuration, or optimization, you can choose a higher support tier for additional assistance.
PerLod supports flexible payment methods for GPU VPS, including major cards and cryptocurrency. Crypto payments are available for users who want a faster and more flexible way to deploy GPU-accelerated VPS infrastructure.
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Ready to launch your GPU VPS?
Pick a GPU VPS plan and start building AI, CUDA, inference, rendering, or accelerated compute workloads with flexible virtual GPU resources.