GPU VPS • GPU Virtual Machine • VM with GPU

GPU Virtual Machine & VPS Server with GPU for AI & Machine Learning

Deploy a high-performance VPS server with GPU and unlock the full potential of your workloads. Whether you need a VM with GPU for machine learning, AI model training, 3D rendering, or cloud gaming, our GPU machines deliver 100% dedicated compute power — fully compatible with CUDA, PyTorch, and TensorFlow. Starting from $17.98/mo.

Platform Features
100% Dedicated GPU VPS — No Resource Sharing Powered by NVIDIA RTX 4090, RTX 5090, A4000 & more Optimized for AI Training, Deep Learning & 3D Rendering Windows / Linux OS with Root & Admin Access 24/7/365 Free Tech Support & Instant Deployment
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GPU VM vs GPU Dedicated Server

Both GPU VM and GPU Dedicated Server provide GPU acceleration, but they serve different workloads, budgets, and performance requirements. Here's a clear breakdown to help you choose.

Feature GPU VM (GPU Virtual Machine) GPU Dedicated Server
GPU ResourceDedicated GPU (other providers may share)100% dedicated physical GPU
PerformanceStable, cost-effectiveMaximum performance, no contention
CPU & RAMVirtualized dedicated resourcesDedicated CPU & memory
Multi-GPU SupportNot supported2–8 GPUs (NVLink supported)
ScalabilityEasy to upgrade CPU, memory, diskHardware-level scaling
Best ForInference, dev, light workloadsTraining, rendering, large models
Entry PriceLower entry costHigher, but best price-performance ratio
Typical UsersDevelopers, startups, testing teamsAI teams, studios, enterprises
When to Choose

When to Choose a GPU VM?

AI inference, testing, and prototyping
Small to mid-scale ML workloads
Cheap GPU VPS with dedicated resources
Instant deploy, no hardware management
Development, demos, and POC projects
Best for users who value flexibility, speed, and cost-efficiency
View GPU VM Plans
When to Choose

When to Choose a GPU Dedicated Server

Large-scale model training (LLMs, diffusion)
Professional 3D rendering & video production
Multi-GPU workloads with NVLink
Long-running, high-intensity GPU compute
Production-grade, performance-critical environments
Best for teams requiring maximum raw GPU power and stability
View GPU Dedicated Server Plans

Choose your GPU Virtual Machine with Dedicated GPU Cards

From entry-level cheap GPU VPS at $17.98/mo to enterprise RTX Pro 6000 configurations — every plan includes a 100% dedicated physical GPU, no resource sharing, and instant deployment.

GPU VPS
GPU VPS
gpu dedicated server
Cheap GPU Dedicated Server

Express GPU VPS - GT730|K620

17.98/mo
38% OFF (Was $29.00)
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  • GPU Model: GT730|K620
  • CPU: 8 CPU Cores
  • Memory: 16GB RAM
  • Disk: 120GB SSD
  • Bandwidth: 100Mbps Unmetered
  • IP: 1 Dedicated IPv4
  • Location: USA
  • Backup: Once per 4 Weeks

Basic GPU VPS - RTX 5060

85.00/mo
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  • GPU Model: RTX 5060
  • CPU: 16 CPU Cores
  • Memory: 28GB RAM
  • Disk: 240GB SSD
  • Bandwidth: 200Mbps Unmetered
  • IP: 1 Dedicated IPv4
  • Location: USA
  • Backup: Once per 4 Weeks

Professional GPU VPS - RTX Pro 2000

99.00/mo
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  • GPU Model: RTX Pro 2000
  • CPU: 16 CPU Cores
  • Memory: 28GB RAM
  • Disk: 240GB SSD
  • Bandwidth: 300Mbps Unmetered
  • IP: 1 Dedicated IPv4
  • Location: USA
  • Backup: Once per 2 Weeks

Professional GPU VPS - RTX A4000

89.50/mo
40% OFF (Was $149.00)
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  • GPU Model: RTX A4000
  • CPU: 24 CPU Cores
  • Memory: 28GB RAM
  • Disk: 320GB SSD
  • Bandwidth: 300Mbps Unmetered
  • IP: 1 Dedicated IPv4
  • Location: USA
  • Backup: Once per 2 Weeks

Advanced GPU VPS - RTX Pro 4000

159.00/mo
20% OFF (Was $199.00)
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  • GPU Model: RTX Pro 4000
  • CPU: 24 CPU Cores
  • Memory: 56GB RAM
  • Disk: 320GB SSD
  • Bandwidth: 500Mbps Unmetered
  • IP: 1 Dedicated IPv4
  • Location: USA
  • Backup: Once per 2 Weeks

Advanced GPU VPS - RTX Pro 5000

269.00/mo
23% OFF (Was $349.00)
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  • GPU Model: RTX Pro 5000
  • CPU: 24 CPU Cores
  • Memory: 56GB RAM
  • Disk: 320GB SSD
  • Bandwidth: 500Mbps Unmetered
  • IP: 1 Dedicated IPv4
  • Location: USA
  • Backup: Once per 2 Weeks

Advanced GPU VPS - RTX 5090

399.00/mo
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  • GPU Model: RTX 5090
  • CPU: 32 CPU Cores
  • Memory: 84GB RAM
  • Disk: 400GB SSD
  • Bandwidth: 500Mbps Unmetered
  • IP: 1 Dedicated IPv4
  • Location: USA
  • Backup: Once per 2 Weeks

Enterprise GPU VPS - RTX Pro 6000

479.00/mo
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  • GPU Model: RTX Pro 6000
  • CPU: 32 CPU Cores
  • Memory: 84GB RAM
  • Disk: 400GB SSD
  • Bandwidth: 1000Mbps Unmetered
  • IP: 1 Dedicated IPv4
  • Location: USA
  • Backup: Once per 2 Weeks

Enhance Workloads with Optional Add-ons

Scale CPU cores, RAM, storage, IPs, or add extra GPU cards to your existing plan — anytime, with no downtime and no migration fees.

Optional Add-ons for GPU VPS
Additional CPU Core$5.00/month/Core
Additional Memory$5.00/month/GB
Additional SSD Disk Space$5.00/month/20GBAdded to C: Drive
Additional Dedicated IP$2.00/month/IP (IPv4 or IPv6)ARIN Justification Required. Maximum 8 per package
Addons for GPU Dedicated Server
Additional Memory$40.00/month/32GB
Additional SSD Drives240GB SSD: $9.00/month
960GB SSD: $19.00/month
2TB SSD: $29.00/month
4TB SSD: $49.00/month
Additional NVMe Drives960GB SSD: $19.00/month
2TB SSD: $29.00/month
Additional SATA Drives2TB SATA: $19.00/month
4TB SATA: $29.00/month
8TB SATA: $39.00/month
Shared Hardware Firewall$29.00/monthCisco ASA 5520. Limited-time 40% OFF regular price $49/m.
Dedicated Hardware Firewall$99.00/monthCisco ASA 5520 with superuser access
Bandwidth UpgradeUpgrade to 200Mbps: $10.00/month
Upgrade to 1Gbps: $20.00/month
The bandwidth of your server represents the maximum available bandwidth. Real-time bandwidth usage depends on the current situation in the rack where your server is located and the shared bandwidth with other servers. The speed you experience may also be influenced by your local network and geographical distance from the server.
Operating SystemMicrosoft Windows Server 2019/2016/2022 Standard Edition x64: $20/month/8 Cores
Remote Data Center Backup (twice per week)40GB Disk Space: $30.00/month
80GB Disk Space: $60.00/month
120GB Disk Space: $90.00/month
160GB Disk Space: $120.00/month
We will use Backup For Workgroups to backup your server data (C: partition only) to our remote data center servers twice per week. You can restore the backup files in your server at any time by yourself.
Additional GPU CardsNvidia Tesla K80: $99.00/month
Nvidia RTX 2060: $99.00/month
Nvidia RTX 3060 Ti: $149.00/month
Nvidia RTX 4060: $149.00/month
Nvidia RTX A4000: $159.00/month
Nvidia RTX A5000: $229.00/month
Additional Dedicated IP$2.00/month/IPv4 or IPv6ARIN Justification Required
HDMI Dummy$15 one time fee

Why Choose Our GPU Virtual Machine Hosting?

GPU Mart's virtual server infrastructure is built around one principle: every customer gets a 100% dedicated physical GPU with full performance and full control — no vGPU slicing, no noisy neighbors, no surprises.

Transparent Pricing, No Surprises

One fixed monthly price covers GPU, CPU, RAM, storage, and bandwidth. No usage-based billing, no hidden fees, and no charge for 24/7 technical support.

99.9% Uptime Guarantee

Our 24/7 infrastructure monitoring responds before issues impact your workloads. Count on uninterrupted operations for production AI, inference, and rendering pipelines.

USA-Based Data Centers

Deployed across two state-of-the-art U.S. facilities with enterprise-grade power, redundant cooling, and high-bandwidth network connectivity.

Enterprise-Grade Security

Hardware firewall protection, DDoS mitigation, and strict tenant isolation ensure your VM with GPU is protected at the infrastructure level.

Simple Onboarding

An intuitive control panel and step-by-step guides make getting started easy. Our expert team is on standby to help with setup, software configuration, and troubleshooting.

Instant Deployment

Your GPU VPS is ready within minutes of ordering. No provisioning delays, no hardware queues — start your AI or compute workload the same day.

Unmetered Bandwidth

Every VPS server with GPU ships with unmetered bandwidth — no throttling, no overage fees — ideal for continuous AI inference, streaming, and data-heavy workloads.

100% Dedicated GPU — No vGPU

You get a full physical GPU with exclusive access — not a vGPU slice shared with other users. This means predictable, consistent performance for every GPU-intensive workload.

Supported Frameworks & Toolchains

Every VPS server with GPU ships with a CUDA-enabled environment fully compatible with mainstream AI frameworks — no manual driver setup required.

Core GPU & AI Frameworks
CUDA
Full CUDA support for GPU acceleration and custom workloads
cuDNN
Optimized deep neural network primitives for high-performance training and inference
PyTorch
The go-to framework for deep learning research and production inference
TensorFlow
Production-ready for large-scale machine learning workloads
ONNX Runtime
Portable model execution across frameworks and hardware targets
Generative AI & LLM Inference
Stable Diffusion
High-quality image generation and diffusion-based creative workflows
Ollama / vLLM
Efficient local LLM inference and scalable model serving
Hugging Face Transformers
Deploy and serve the latest open-source language models
Text Generation Inference (TGI)
High-throughput LLM serving optimized for production API environments

What Can You Do with a VPS Server with GPU?

01 • LLM Inference

LLM Inference

Purpose-built for low-latency LLM inference, supporting LLaMA, Mistral, Qwen, Falcon, and Mixtral. Deploy real-time AI applications, chatbots, and inference APIs with 100% dedicated GPU throughput.

02 • Cloud Gaming

Virtual Desktops and Cloud Gaming

Deliver high-performance cloud gaming and virtual desktop experiences. Handles graphics-intensive apps smoothly — from AAA game streaming to multi-instance Android emulators like BlueStacks and LDPlayer.

GPU Server for Gaming
03 • Data Science

Data Analysis and Visualization

Reduce time-to-insight with GPU-accelerated data processing. Dramatically speeds up analytics tools and visualization libraries for large datasets that would be impractical on CPU-only infrastructure.

GPU Server for Data Analysis
04 • Rendering

Graphics Processing and Rendering

Ideal for graphic designers, game developers, and video editors. Autodesk Maya, Blender, and Cinema 4D run smoothly on dedicated GPU. P620, GTX 1660, RTX 3060 Ti, and A4000 are popular choices.

GPU Server for Rendering
05 • Deep Learning

Deep Learning and AI

TensorFlow, PyTorch, and Keras run natively — the ideal GPU for machine learning workloads. From K80 and V100 to A5000 and the RTX 4090 dedicated GPU server, handle large-scale AI tasks faster and more reliably.

GPU Server for Deep Learning
Need a custom GPU workload solution?

Our team can recommend the right GPU VPS or dedicated server for your specific use case.

Contact US

FAQ of GPU Virtual Machine

What is VM with GPU?

A VM with GPU — also known as a GPU Virtual Machine or VPS server with GPU — is a Windows or Linux virtual environment equipped with a dedicated physical GPU. By allocating a full graphics card to a virtualized instance via PCIe passthrough, our GPU VPS hosting gives you enterprise-level GPU compute without the cost of a bare-metal server. You get full root/admin access, dedicated VRAM, and complete CUDA compatibility.

What sets your VPS server with GPU apart from shared GPU cloud providers?

Unlike shared GPU cloud solutions, our VPS servers with GPU provide 100% dedicated physical GPU resources — no vGPU partitioning, no time-slicing, no performance contention between tenants. Each of our GPU machines includes fully isolated vCPU, RAM, and NVMe storage, a free dedicated IP, full root/admin access, and 24/7 expert support. This delivers the raw power of a dedicated machine at a cheap GPU VPS price point.

Can I run BlueStacks or LDPlayer on your VM with GPU?

Yes. Our GPU virtual machines are optimized for resource-intensive Android emulators including BlueStacks, LDPlayer, NoxPlayer, Genymotion, and MEmu Play. The architecture of our VPS server with GPU supports multi-instance functionality — run multiple Android environments simultaneously for cloud gaming, app testing, and automation workflows.

How do I prevent emulator crashes on a GPU virtual machine?

To avoid emulator crashes on our GPU machines, ensure sufficient free disk space and available RAM. Most emulators require a minimum of 2 GB of free disk space at startup. If you experience issues, upgrading to a higher-tier GPU VPS plan typically resolves them. Not sure which plan fits? Request a 24-hour free trial by noting it in your order submission — our team will set you up.

What workloads run best on a GPU virtual machine?

GPU Mart's VPS servers with GPU support a wide range of GPU-accelerated workloads: AI & Machine Learning — model training and LLM inference with CUDA, PyTorch, and TensorFlow; Data Science — rapid processing of large datasets; 3D Rendering & Animation — video transcoding and visual effects; Cloud Gaming & Android Emulators — remote gaming and multi-instance apps; Virtual Desktop Infrastructure (VDI); and Scientific Computing including simulations and bioinformatics.

Can I use a GPU VM for gaming or graphics-intensive apps?

Absolutely. Our GPU virtual machines support gaming, game streaming, and heavy 3D graphics workloads with full DirectX and OpenGL compatibility. For top-tier gaming or large rendering projects, we also offer the RTX 4090 dedicated GPU server for maximum graphics performance.

Can I use a cheap VM with GPU for crypto mining?

Our GPU VPS plans are optimized for machine learning, AI inference, and Android emulation — not cryptocurrency mining. Mining requires sustained maximum GPU load at scale, which is best served by specialized dedicated hardware. For intensive mining use cases, we recommend our high-end dedicated GPU server series instead.

What is the difference between CPU and GPU?

CPUs (Central Processing Units) are general-purpose processors optimized for sequential, complex logic tasks. GPUs (Graphics Processing Units) are specialized for massively parallel computation — executing thousands of simpler operations simultaneously. A VPS server with GPU is the ideal choice for workloads like machine learning, deep learning, video processing, and Android emulation that benefit from high parallelism.

When should I choose a Windows GPU server?

Choose a Windows VM with GPU when your applications, trading algorithms, or workflows are built for Windows environments. A Windows GPU Virtual Machine is essential for GUI-dependent tasks such as CAD software, Adobe Creative Cloud, Android emulators (BlueStacks, LDPlayer), or remote desktop / VDI deployments.

How is GPU VPS pricing calculated?

GPU VPS pricing is based on the GPU model, CPU core count, RAM, and NVMe storage included in your selected plan. All prices are fixed monthly — no usage-based billing, no egress fees. If you upgrade mid-cycle, you only pay the prorated price difference for the remaining service period.

Can you provide a customized VM with GPU configuration?

Our standard GPU VPS and dedicated GPU plans cover the vast majority of AI and compute needs. For enterprise requirements — such as custom GPU clusters, multi-GPU NVLink configurations, or specific hardware architectures — please contact us directly. We'll work with you to design a tailored solution.
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Deploy Your High-Performance GPU Virtual Machine

Accelerate AI training, deep learning, and 3D rendering with our dedicated VPS servers with GPU. Use code SPRING10 to save 10% on your first order.

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