GPU Virtual Machine for AI, Machine Learning & Compute Workloads
Deploy a high-performance Linux VPS server with exclusive access to a physical GPU through PCIe Passthrough. Run machine learning, AI model training, 3D rendering, and other GPU-accelerated workloads with full SSH root access and support for CUDA, PyTorch, and TensorFlow. Starting from $21/mo.
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 Resource | Exclusive access to a physical GPU via PCIe Passthrough | 100% dedicated physical GPU and server hardware |
| Operating System | Linux only | Linux or Windows Server |
| Remote Access | Full SSH root access | SSH for Linux or RDP for Windows |
| Performance | Stable, near bare-metal GPU performance | Maximum system performance with no hardware contention |
| CPU & RAM | Allocated virtual CPU and memory resources | Dedicated physical CPU and memory |
| Multi-GPU Support | Not supported | Selected 2–8 GPU configurations; NVLink on supported plans |
| Scalability | Easy CPU, memory, and storage upgrades | Hardware-level configuration options |
| Best For | Linux AI inference, development, testing, and rendering | Windows applications, RDP, training, rendering, and large models |
| Entry Price | Lower entry cost | Higher cost with full physical server resources |
| Typical Users | Developers, startups, and testing teams | AI teams, studios, enterprises, and Windows users |
When to Choose a GPU VM?
When to Choose a GPU Dedicated Server
Choose Your GPU Virtual Machine or GPU Dedicated Server
Explore GPU VPS hosting plans and dedicated GPU machines for AI development, machine learning, rendering, and compute workloads. Choose a Linux GPU virtual machine for flexible GPU computing, or a GPU dedicated server with Linux or Windows Server for full physical hardware control. All plans provide exclusive access to dedicated GPU resources with no GPU sharing.
Express GPU VPS - 2GB
- GPU: GT730|P600|K620
- CPU: 8 CPU Cores
- Memory: 16GB RAM
- Disk: 120GB SSD
- Bandwidth: 100Mbps Unmetered
- GPU Memory: 2GB DDR3
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 4 Weeks
Basic GPU VPS - RTX 5060
- GPU: RTX 5060
- CPU: 16 CPU Cores
- Memory: 28GB RAM
- Disk: 240GB SSD
- Bandwidth: 200Mbps Unmetered
- GPU Memory: 8 GB GDDR7
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 4 Weeks
Professional GPU VPS - RTX Pro 2000
- GPU: RTX Pro 2000
- CPU: 16 CPU Cores
- Memory: 28GB RAM
- Disk: 240GB SSD
- Bandwidth: 300Mbps Unmetered
- GPU Memory: 16 GB GDDR7
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 2 Weeks
Professional GPU VPS - RTX A4000
- GPU: RTX A4000
- CPU: 24 CPU Cores
- Memory: 28GB RAM
- Disk: 320GB SSD
- Bandwidth: 300Mbps Unmetered
- GPU Memory: 16 GB GDDR6
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 2 Weeks
Advanced GPU VPS - RTX Pro 4000
- GPU: RTX Pro 4000
- CPU: 24 CPU Cores
- Memory: 56GB RAM
- Disk: 320GB SSD
- Bandwidth: 500Mbps Unmetered
- GPU Memory: 24 GB GDDR7
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 2 Weeks
Advanced GPU VPS - RTX Pro 5000
- GPU: RTX Pro 5000
- CPU: 24 CPU Cores
- Memory: 56GB RAM
- Disk: 320GB SSD
- Bandwidth: 500Mbps Unmetered
- GPU Memory: 48 GB GDDR7
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 2 Weeks
Advanced GPU VPS - RTX 5090
- GPU: RTX 5090
- CPU: 32 CPU Cores
- Memory: 84GB RAM
- Disk: 400GB SSD
- Bandwidth: 500Mbps Unmetered
- GPU Memory: 32 GB GDDR7
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 2 Weeks
Enterprise GPU VPS - RTX Pro 6000
- GPU: RTX Pro 6000
- CPU: 32 CPU Cores
- Memory: 84GB RAM
- Disk: 400GB SSD
- Bandwidth: 1000Mbps Unmetered
- GPU Memory: 96 GB GDDR7
- 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.
| Additional CPU Core | $5.00/month/Core | |
| Additional Memory | $5.00/month/GB | |
| Additional SSD Disk Space | $5.00/month/20GB | Added to C: Drive |
| Additional Dedicated IP | $2.00/month/IP (IPv4 or IPv6) | ARIN Justification Required. Maximum 8 per package |
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.
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.
Our 24/7 infrastructure monitoring responds before issues impact your workloads. Count on uninterrupted operations for production AI, inference, and rendering pipelines.
Deployed across two state-of-the-art U.S. facilities with enterprise-grade power, redundant cooling, and high-bandwidth network connectivity.
Hardware firewall protection, DDoS mitigation, and strict tenant isolation ensure your VM with GPU is protected at the infrastructure level.
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.
Your GPU VPS is ready within minutes of ordering. No provisioning delays, no hardware queues — start your AI or compute workload the same day.
Every VPS server with GPU ships with unmetered bandwidth — no throttling, no overage fees — ideal for continuous AI inference, streaming, and data-heavy workloads.
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.
What Can You Do with a VPS Server with GPU?
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.
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 GamingData 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 AnalysisGraphics 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 RenderingDeep 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 LearningOur team can recommend the right GPU VPS or dedicated server for your specific use case.
Ask for More OptionsFAQ of GPU Virtual Machine
What is VM with GPU?
What sets your VPS server with GPU apart from shared GPU cloud providers?
Can I run BlueStacks or LDPlayer on your VM with GPU?
How do I prevent emulator crashes on a GPU server?
What workloads run best on a Linux GPU virtual machine?
Can I use a Linux GPU VM for gaming or graphics-intensive apps?
Can I use a cheap VM with GPU for crypto mining?
What is the difference between CPU and GPU?
When should I choose a Windows GPU dedicated server?
How is Linux GPU VPS pricing calculated?
Can you provide a customized VM with GPU configuration?
Ready to Deploy Your GPU Server?
Choose a Linux GPU VPS with exclusive access to a physical GPU, or a GPU dedicated server with Linux or Windows Server for full hardware control, RDP access, and demanding production workloads.