6 Best VPS with GPU – GPU Dedicated Server in 2025
6 Best VPS with GPU – GPU Dedicated Server in 2025
If you're working on machine learning, AI model training, video rendering, or hosting performance-heavy game servers, a regular VPS won't meet your needs. That's where GPU VPS solutions come in—offering powerful, graphics-accelerated computing environments designed for demanding workloads. In this article, we highlight 6 of the best VPS providers offering GPU-powered servers in 2025.
🔍 Comparison Table
| Provider | GPU Models | Starting Price | Billing Options | Free Trial | Support Type |
|---|---|---|---|---|---|
| LightNode | NVIDIA A4000/RTX | $7.71/mo | Hourly/Monthly | ❌ | 24/7 Tickets |
| Vultr | NVIDIA A100/T4 | $90/mo | Hourly/Monthly | ❌ | Tickets |
| OVHcloud | NVIDIA A40 | $75/mo | Monthly | ❌ | Email/Ticket |
| Paperspace | NVIDIA P5000/T4 | $8/mo (shared) | Hourly/Monthly | ✅ | Chat/Email |
| Genesis Cloud | NVIDIA V100 | $39/mo | Hourly | ❌ | Email Support |
| Lambda | NVIDIA A100/H100 | $1.10/hr | Hourly | ❌ | Premium Support |
1️⃣ LightNode
LightNode Server Hosting
LightNode offers high-performance cloud servers across 40+ locations worldwide, now including GPU VPS at highly competitive prices. It's perfect for scalable workloads, AI, rendering, or even GPU-accelerated development environments.
Overall score: 4.8
Pricing: 4.8
Features: 4.9
Performance: 4.8
Support: 4.7
User Friendly: 4.8
Pricing: Starts at $7.71/month or $0.012/hour. Supports credit cards, PayPal, Alipay, and WeChat.
Features: Powered by NVIDIA A4000/RTX GPUs, NVMe SSD storage, full root access, 1-click backups, custom OS images, and rapid 2-minute deployment.
Performance: Excellent compute stability across global data centers—great for AI workloads, rendering, and even game server use.
Support: 24/7 ticket-based support and detailed knowledge base.
User Friendly: Clean, intuitive control panel with fast deployment tools.
Additional Parameters: Hourly billing, global nodes, flexible GPU configurations.
Pros and Cons
✅ Hourly GPU billing
✅ 40+ global data centers
✅ Strong hardware at fair pricing
✅ Wide payment options
❌ No free trial
❌ High-end GPU availability may vary during peak times
2️⃣ Vultr
Vultr High Performance GPU VPS
Vultr delivers developer-friendly infrastructure with access to premium GPUs like the A100 and T4 series.
Overall score: 4.5
Pricing: 4.3
Features: 4.6
Performance: 4.7
Support: 4.2
User Friendly: 4.5
Pricing: Starts at $90/month with hourly options.
Features: Enterprise-class NVIDIA GPUs, SSD storage, root access, snapshots, and advanced networking.
Performance: Reliable and optimized for AI inference, data analysis, and 3D workloads.
Support: Ticket-based assistance and documentation.
User Friendly: Developer-focused control panel and API.
Additional Parameters: Custom ISO, floating IPs, firewall rules.
Pros and Cons
✅ High-end GPU hardware
✅ Developer tools and integrations
✅ Hourly billing model
❌ No live support
❌ Higher price point
3️⃣ OVHcloud
OVHcloud GPU Servers
A European-based cloud provider with reliable GPU performance for enterprise tasks.
Overall score: 4.3
Pricing: 4.6
Features: 4.4
Performance: 4.5
Support: 4.0
User Friendly: 4.3
Pricing: Starts at $75/month.
Features: Bare metal and virtual machines powered by NVIDIA A40 GPUs, high RAM, dedicated resources.
Performance: Optimized for simulations, 3D rendering, and big data processing.
Support: Ticket and email-based support.
User Friendly: Functional but more technical dashboard.
Additional Parameters: Strong European compliance and infrastructure reliability.
Pros and Cons
✅ Affordable GPU hosting in Europe
✅ Bare-metal options
✅ Reliable uptime
❌ Monthly billing only
❌ Less intuitive interface
4️⃣ Paperspace
Paperspace GPU Cloud
Paperspace offers budget-friendly access to GPU infrastructure, popular among students and startups.
Overall score: 4.4
Pricing: 4.9
Features: 4.3
Performance: 4.1
Support: 4.2
User Friendly: 4.6
Pricing: Starts at $8/month for shared GPU access.
Features: NVIDIA P5000 and T4 GPUs, Jupyter notebooks, low-latency network.
Performance: Suitable for prototyping ML models and light rendering.
Support: Email and live chat options.
User Friendly: Streamlined cloud dashboard with collaboration features.
Additional Parameters: Shared GPUs, free educational tools.
Pros and Cons
✅ Very affordable starting price
✅ Free GPU-powered notebooks
✅ Beginner-friendly UI
❌ Shared resources may limit performance
❌ Not suited for high-end workloads
5️⃣ Genesis Cloud
Genesis Cloud GPU Hosting
A clean-energy cloud platform focused on offering low-cost GPU compute with transparent pricing.
Overall score: 4.3
Pricing: 4.8
Features: 4.1
Performance: 4.2
Support: 4.0
User Friendly: 4.3
Pricing: Starts at $39/month.
Features: NVIDIA V100 support, flexible CPU/RAM combos, energy-efficient servers.
Performance: Good for AI inference, visual simulations.
Support: Email-based customer support.
User Friendly: Minimalist UI built for developers.
Additional Parameters: 100% renewable-powered data centers.
Pros and Cons
✅ Competitive V100 pricing
✅ Green hosting solution
✅ Transparent usage billing
❌ Fewer locations
❌ No real-time support
6️⃣ Lambda
Lambda GPU Cloud
Lambda is tailored for deep learning researchers and enterprises who need cutting-edge NVIDIA GPUs like A100 and H100.
Overall score: 4.6
Pricing: 4.2
Features: 4.9
Performance: 4.9
Support: 4.6
User Friendly: 4.4
Pricing: Starts at $1.10/hour (on-demand A100).
Features: Full-stack ML environment, NVIDIA A100/H100, deep learning frameworks pre-installed.
Performance: Built for AI training, simulations, and research-level workloads.
Support: Premium technical support and onboarding assistance.
User Friendly: Dev-ops friendly interface with quick launch.
Additional Parameters: Spot pricing, optimized ML containers.
Pros and Cons
✅ Cutting-edge GPU performance
✅ Optimized for TensorFlow, PyTorch, JAX
✅ ML training-ready from the start
❌ Expensive for casual users
❌ Geared more toward professionals
❓ FAQ
Can you run a server on a GPU?
Yes. GPU servers are designed for tasks that require parallel computing, like AI training, 3D rendering, or simulation. They're not essential for all types of hosting but are critical for high-performance use cases.
What is the cost of a GPU server per month?
It ranges from $8/month (shared GPU like in Paperspace) to $100+/month for dedicated A100/H100 GPUs.
What is GPU hosting?
GPU hosting provides virtual or dedicated servers equipped with GPUs, allowing accelerated computing for intensive applications like machine learning, blockchain, or video rendering.
Why are GPU servers so expensive?
GPUs are specialized hardware with high computational capacity. They're costly to manufacture, consume more power, and are in high demand for AI and crypto workloads.
Do you need a GPU to host a Minecraft server?
Not really. Minecraft servers are CPU-intensive. GPU is more relevant for rendering (client-side) than server hosting.
Which GPU VPS is best for AI training?
Lambda and Vultr offer high-end NVIDIA GPUs ideal for AI model training. LightNode is a great entry-level and mid-tier option with hourly GPU billing.
Are there GPU VPS with hourly billing?
Yes. LightNode, Vultr, Lambda, Genesis Cloud, and Paperspace all offer hourly billing for GPU instances.
Which GPU VPS offers the most global locations?
LightNode offers over 40 global data centers, making it ideal for latency-sensitive applications like gaming or distributed training jobs.