Rent a GPU Dedicated Server — Raw Power, Full Control
Enterprise-grade dedicated GPU server hosting for AI, HPC, rendering, and production workloads. Built for businesses and teams that need stable performance, dedicated resources, and reliable infrastructure.
Choose Your GPU Dedicated Server Plan
Rent dedicated server with GPU tailored to your workload. The longer your billing cycle, the lower the price. GTX, RTX, Quadro, and Data Center Nvidia GPU options available.
- GPU Use Scenario:
- GPU Memory:
- GPU Card Model:
Express Dedicated GPU Server - P1000
- GPU Model: P1000
- CPU: 8-Core Xeon E5-2690
- Memory: 32GB RAM
- Disk: 120GB SSD + 960GB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Basic Dedicated GPU Server - GTX 1650
- GPU Model: GTX 1650
- CPU: 8-Core Xeon E5-2667v3
- Memory: 64GB RAM
- Disk: 120GB SSD + 960GB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Basic Dedicated GPU Server - GTX 1660
- GPU Model: GTX 1660
- CPU: 16-Core Dual E5-2660
- Memory: 64GB RAM
- Disk: 120GB SSD + 960GB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Basic Dedicated GPU Server - RTX 4060
- GPU Model: RTX 4060
- CPU: 8-Core Xeon E5-2690
- Memory: 64GB RAM
- Disk: 120GB SSD + 960GB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Basic Dedicated GPU Server - RTX 5060
- GPU Model: RTX 5060
- CPU: 24-Core Platinum 8160
- Memory: 64GB RAM
- Disk: 120GB SSD+960GB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Professional Dedicated GPU Server - P100
- GPU Model: P100
- CPU: 16-Core Dual E5-2660
- Memory: 128GB RAM
- Disk: 120GB SSD + 960GB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Professional Dedicated GPU Server - RTX 2060
- GPU Model: RTX 2060
- CPU: 16-Core Dual E5-2660
- Memory: 128GB RAM
- Disk: 120GB SSD + 960GB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Advanced Dedicated GPU Server - RTX 2060
- GPU Model: RTX 2060
- CPU: 40-Core Dual Gold 6148
- Memory: 128GB RAM
- Disk: 120GB SSD + 960GB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Advanced Dedicated GPU Server - RTX 3060 Ti
- GPU Model: RTX 3060 Ti
- CPU: 24-Core Dual E5-2697v2
- Memory: 128GB RAM
- Disk: 240GB SSD+2TB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Advanced Dedicated GPU Server - RTX A4000
- GPU Model: RTX A4000
- CPU: 24-Core Dual E5-2697v2
- Memory: 128GB RAM
- Disk: 240GB SSD+2TB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Advanced Dedicated GPU Server - V100
- GPU Model: V100
- CPU: 24-Core Dual E5-2690v3
- Memory: 128GB RAM
- Disk: 240GB SSD+2TB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Advanced Dedicated GPU Server - RTX A5000
- GPU Model: RTX A5000
- CPU: 24-Core Dual E5-2697v2
- Memory: 128GB RAM
- Disk: 240GB SSD+2TB SSD
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - RTX 4090
- GPU Model: RTX 4090
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - A40
- GPU Model: A40
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - RTX A6000
- GPU Model: RTX A6000
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - RTX 5090
- GPU Model: RTX 5090
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Multi-GPU Dedicated Server - 3xV100
- GPU Model: 3 x V100
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 1000Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Multi-GPU Dedicated Server - 3xRTX A5000
- GPU Model: 3 x RTX A5000
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 1000Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - A100
- GPU Model: A100
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Multi-GPU Dedicated Server - 2xRTX 4090
- GPU Model: 2 x RTX 4090
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 1000Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Multi-GPU Dedicated Server - 2xRTX 5090
- GPU Model: 2 x RTX 5090
- CPU: 44-core Dual E5-2699v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 1000Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Multi-GPU Dedicated Server - 4xRTX A6000
- GPU Model: 4 x RTX A6000
- CPU: 44-core Dual E5-2699v4
- Memory: 512GB RAM
- Disk: 240GB SSD+4TB NVMe+16TB SATA
- Bandwidth: 1000Mbps Unmetered
- NVLink: 2xNVLink
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Multi-GPU Dedicated Server - 3xRTX A6000
- GPU Model: 3 x RTX A6000
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 1000Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - A100(80GB)
- GPU Model: A100(80GB)
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - H100
- GPU Model: H100
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Multi-GPU Dedicated Server - 4xA100
- GPU Model: 4 x A100
- CPU: 44-core Dual E5-2699v4
- Memory: 512GB RAM
- Disk: 240GB SSD+4TB NVMe+16TB SATA
- Bandwidth: 1000Mbps Unmetered
- NVLink: 6xNVLink
- IP: 1 Dedicated IPv4
- Location: USA
Why Teams Choose GPU Mart
GPU dedicated server hosting that outperforms cloud instances — at a fraction of the cost. No virtualization overhead, full hardware control.
Dedicated Bare Metal Performance
Multi-GPU & NVLink Ready
Large Local NVMe Storage Included
Better Price-to-Performance Than Cloud
Enterprise Networking & Remote Access
Flexible Configurations & Expert Support
GPU Mart vs Competitors: Value Per Dollar
Our GPU server hosting delivers up to 3–5× better price-to-performance than OVHCloud for equivalent GPU rentals. Consistently better than Hetzner after setup fees.
| VRAM | Platform | GPU | Tier | Price from | Value/$ Score | vs GPU Mart | Notes |
|---|---|---|---|---|---|---|---|
| 24GB | OVHCloud | L4 | Mid-High | $1,145/mo | 0.00175 | 0.26× −74% | Storage extra; often out of stock |
| 24GB | Hetzner | RTX 4000 | Low | $214/mo | 0.00467 | 0.70× −30% | $500+ setup fee |
| 24GB | GPU Mart | A5000 | High | $269/mo | 0.00669 | 1.0× Baseline ⭐ | No hidden fees |
| 48GB | OVHCloud | L40S | Very High | $3,505/mo | 0.00128 | 0.21× −79% | $2,000 setup fee |
| 48GB | Contabo | L40S | Very High | $802/mo | 0.00561 | 0.88× −12% | Unstable supply |
| 48GB | GPU Mart | A6000 | High | $409/mo | 0.00611 | Best Value ⭐ | Best price-to-performance |
Value/$ = relative compute performance ÷ monthly price. Competitor pricing verified May 2026.
Pick the Right GPU Rental for Your Workload
Match your GPU rental to the right hardware — from RTX dedicated server options for rendering to A100 clusters for model training.
AI Model Serving, Training & Fine-Tuning
From LLM inference endpoints (vLLM, Ollama, TGI) to multi-week training runs on PyTorch and Hugging Face — a dedicated GPU server provides the sustained VRAM, full-node isolation, and NVLink multi-GPU support that shared cloud instances cannot match.
Explore AI & Deep Learning ServersVideo Encoding & Live Streaming
Hardware NVENC acceleration with unmetered bandwidth and no encoding throttle. Suitable for OBS, FFmpeg, and 24/7 multi-stream pipelines on a GTX or RTX dedicated server.
Explore Streaming Servers3D Rendering & Visual Production
Blender Cycles, Unreal Engine, and V-Ray scale directly with VRAM and CUDA cores. An RTX dedicated server with large VRAM handles high-poly scenes without CPU fallback — ideal for studios and render farms.
Explore Rendering ServersGPU Performance by Workload
Relative performance score (0–100) across 6 scenarios — helps you choose the right GPU server rental.
| GPU | AI Infer | AI Train | Video Ed. | Render | Auto/Sim | Gaming |
|---|---|---|---|---|---|---|
| H100 80GB | 100 | 100 | 75 | 80 | 100 | 25 |
| RTX 5090 | 100 | 90 | 100 | 100 | 85 | 100 |
| A100 40GB | 90 | 95 | 65 | 70 | 95 | 20 |
| RTX 4090 | 85 | 75 | 95 | 95 | 75 | 95 |
| RTX A6000 | 75 | 70 | 85 | 95 | 90 | 75 |
| A40 | 75 | 70 | 85 | 95 | 90 | 40 |
| RTX 5060 | 65 | 45 | 75 | 70 | 45 | 75 |
| RTX A5000 | 60 | 50 | 80 | 85 | 75 | 70 |
| V100 | 50 | 65 | 40 | 45 | 65 | 15 |
| RTX 4060 | 50 | 30 | 60 | 55 | 35 | 60 |
| RTX A4000 | 45 | 35 | 70 | 70 | 60 | 55 |
| RTX 3060 Ti | 40 | 25 | 65 | 60 | 30 | 65 |
| P100 | 30 | 45 | 30 | 25 | 45 | 10 |
| RTX 2060 | 25 | 15 | 50 | 40 | 20 | 45 |
| GTX 1660 | 12 | 6 | 40 | 18 | 8 | 30 |
| T1000 | 10 | 5 | 25 | 15 | 10 | 15 |
| GTX 1650 | 8 | 4 | 30 | 12 | 5 | 20 |
Is a Dedicated GPU Server Right for You?
Dedicated GPU servers are designed for users who need consistent performance, isolated hardware, and predictable long-term GPU access.
- Guaranteed access to dedicated GPU resources
- Stable monthly pricing without usage-based billing spikes
- 24/7 uptime on the same physical hardware
- Full root / administrator control over the environment
- Better isolation, privacy, and predictable performance
| Situation | Better option |
|---|---|
| Only need GPU occasionally | Hourly GPU |
| Very small budget or low monthly usage | GPU VPS |
| Need instant auto-scaling | Elastic cloud GPU |
| Prefer fully managed infrastructure | Managed AI platforms |
| Do not want server administration | Serverless GPU services |
GPU Dedicated Server Architecture
Built on company-owned physical hardware — not a cloud reseller. Every dedicated server with GPU provides full hardware isolation, root access, and enterprise-grade I/O performance.
Exclusive Hardware Resources
Every dedicated server with GPU provides exclusive CPU, GPU, memory, and NVMe — zero noisy-neighbor contention, ever.
Flexible Customization
When you rent dedicated server with GPU from GPU Mart, any GPU, CPU, and storage combination is configured to your exact workload — no cloud markup.
Enterprise Network & Security
IPv4/IPv6 dual-stack networking with optional Cisco ASA firewall, NVLink, HDMI dummy, and remote backup — included when you rent a dedicated server with GPU from GPU Mart.
Optimized I/O for GPU Workloads
OS-level tuning with NVMe/SSD delivers low-latency, high-throughput I/O for AI and rendering pipelines.
What Our Customers Say
Real customers share their experience with our GPU server rental and dedicated GPU server hosting — verified on Trustpilot
"Easy to deal with. Well provisioned A100 server with plenty of RAM, CPU and disk."
"Extremely economical and great hosting service. Downtimes seldom happen and support is always there."
Which operating systems are available?
All major Linux distributions (Ubuntu, CentOS, Debian) and Windows Server are supported on our GPU server rental plans. Choose your preferred OS at checkout. For specific versions or custom configurations, contact our support team.
GeForce vs. Quadro vs. Tesla — which to rent?
A GTX dedicated server suits gaming, video transcoding, and entry-level HPC workloads at lowest cost. An RTX dedicated server adds Tensor Cores and ray-tracing for advanced AI inference and rendering. Quadro (A4000/A5000/A6000) offers professional-grade VRAM for 3D modeling, CAD, and AI. Data Center (A100/H100) maximizes FP32/FP64 and HBM memory for large-scale AI training and LLM serving.
Can I upgrade my GPU dedicated server?
Contact us with your requirements — our hardware team will confirm upgrade availability. You can upgrade disk, memory, bandwidth, and optional services on any rent-dedicated-server-with-GPU plan. Switching GPU plans only charges the price difference. Note: adding more GPUs to an existing server is not supported.
How do I choose the right GPU for LLM inference?
For 7B–14B models, rent GPU server options like RTX A4000 or A5000 work well. Larger models, higher concurrency, or long-context inference benefit from A6000, A100, or H100. Choose based on model size, concurrent users, and latency requirements — not VRAM alone.
GPU VPS vs Dedicated GPU Server: which is better?
Our GPU VPS is ideal for testing, lightweight inference, and short-term GPU rental. A dedicated GPU server provides fully isolated hardware for production AI inference, model training, rendering pipelines, and long-running workloads with consistent utilization.
Dedicated GPU vs Spot/Ephemeral GPU for production?
Spot GPUs reduce costs for fault-tolerant workloads but may be interrupted. Dedicated GPU servers provide stable performance and uninterrupted access — better suited for production LLM serving, AI APIs, and latency-sensitive inference.
One large-VRAM GPU vs multiple smaller GPUs?
A single large-VRAM GPU is simpler for large models and long context windows. Multiple smaller GPUs can provide higher aggregate compute but require tensor parallelism. The best choice depends on whether your bottleneck is VRAM, throughput, or scalability. See our multi-GPU server options.
Best GPU for AI image generation (Stable Diffusion, ComfyUI)?
RTX 4090, RTX 5090, A5000, and A6000 are popular for Stable Diffusion, Flux, and ComfyUI workflows. For high-throughput production pipelines or multi-user generation, A100 and H100 provide significantly higher concurrency and faster generation speed.
Dedicated GPU server vs cloud GPU instances?
GPU server hosting on dedicated hardware provides fully allocated resources with predictable performance and fixed monthly pricing. Cloud instances prioritize elasticity. Dedicated GPU server hosting is typically more cost-efficient for sustained AI inference, rendering, and long-running GPU server rental workloads.
Can I run multiple AI models on one dedicated server?
Yes. Many customers run multiple inference models, embedding services, reranking models, or rendering workloads concurrently on a single GPU server, depending on available VRAM and concurrency requirements.
Rent a Nvidia GPU Dedicated Server Today
From a GTX dedicated server starting at $64/mo to 4× A100 AI clusters — GPU Mart has the GPU server hosting and GPU server rental solution for every workload and budget.