Dedicated NVIDIA GPU Hosting

Rent GPU VPS with
Dedicated NVIDIA Power

True GPU isolation via PCIe passthrough — no sharing, no oversubscription. The smarter way to rent a VPS with GPU for AI inference, fine-tuning, 3D rendering, video editing, and compute-intensive workloads.

GPU Rental Pricing — Starting From
GT730/K620
2GB · 8 Cores · 16GB RAM
$21/mo
RTX 5060
8GB GDDR7 · 16 Cores · 28GB RAM
$85/mo
RTX Pro 4000
24GB GDDR7 · 24 Cores · 60GB RAM
$159/mo
RTX 5090
32GB GDDR7 · 32 Cores · 90GB RAM
$399/mo
RTX Pro 6000
96GB GDDR7 · 32 Cores · 90GB RAM
$479/mo

GPU VPS Plans & Pricing

Every plan ships with a dedicated NVIDIA GPU via PCIe passthrough — yours alone, never shared. Cheap GPU VPS options start at $21/mo. Deploy in under 10 minutes for Linux OS.

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

95.20/mo
20% OFF (Was $119.00)
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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

119.00/mo
20% 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
Support and Management Features for GPU VPS
Additional Dedicated IP$2.00/month/IP (IPv4 or IPv6)Max 2 per plan, purpose required.
Bandwidth UpgradeUpgrade to 1000Mbps(Shared): $10.00/monthThe 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.
Additional Local Storage
500GB SATA: $5.00/month
1TB SATA: $10.00/month
2TB SATA: $20.00/month
Only available for: Pro 2000 / 4000 / 5000 / 6000, and RTX 5090 VPS. Please note that this local SATA storage is not backed up and cannot be restored or migrated. It is provided for temporary file storage only.
Value Comparison

GPU Mart vs RunPod — More Performance, Lower Cost

At the same or lower monthly price, GPU Mart delivers newer-generation GPUs with more VRAM, higher compute throughput, and fully dedicated resources.

GPU Model
GPU Mart Price
GPU Mart VRAM
RunPod Comparable
RunPod Price
GPU Mart Advantage
RTX Pro 2000 16GB GDDR7
$119 /month
16 GB
RTX 2000 Ada RunPod · 16GB
$173 /month
31% cheaper · 20% faster overall
RTX Pro 4000 24GB GDDR7
$199 /month
24 GB
RTX 4000 Ada RunPod · 20GB
$187 /month
+4GB VRAM · 27% faster · 1.9× CUDA
RTX Pro 5000 48GB GDDR7
$349 /month
48 GB
A6000 RunPod · 48GB
$353 /month
Lower cost · 80% FP32 gain · 2.8× ray tracing
RTX 5090 32GB GDDR7
$449 /month
32 GB
RTX 4090 RunPod · 24GB
$446 /month
+8GB VRAM · 150%+ AI performance
RTX Pro 6000 96GB GDDR7
$599 /month
96 GB
L40 S RunPod · 48GB
$619 /month
2× VRAM · 109% higher · 5× LLM throughput
Performance data sourced from NVIDIA official specifications and published benchmarks (FP32, CUDA render, LLM inference throughput). Pricing accurate at time of publication.
Why GPU Mart

Why GPU Mart for GPU VPS Hosting

A cost-efficient VPS server with GPU — fully dedicated NVIDIA resources at 30–50% lower cost than traditional cloud providers, with no resource sharing.

Best For
AI inference, LLM deployment, model fine-tuning, rendering, and cost-sensitive GPU workloads.
Deploy GPU VPS

Fully Dedicated GPU Performance

All instances use PCIe passthrough with zero oversubscription — consistent, predictable compute for AI, training, and rendering.

Better Value Than Cloud Providers

Larger CPU, RAM, and NVMe allocations at lower total cost compared to AWS, RunPod, and Lambda Labs.

Built for Continuous AI Workloads

No preemption or throttling — ideal for long-running LLM inference, fine-tuning, batch processing, and rendering.

Flexible & Developer-Friendly

Full root access. Compatible with PyTorch, TensorFlow, CUDA, Hugging Face, and all major AI frameworks.

Instant Deployment, Transparent Pricing

25+ GPU models, 3,500+ GPUs in stock. No waitlists, no hidden fees — GPU, CPU, RAM, NVMe, bandwidth, and IP all included.

Reliable Infrastructure & 24/7 Support

99.9% uptime SLA on enterprise-grade Supermicro hardware, backed by experienced GPU engineers around the clock.

Use Cases

Suitable Workloads for GPU VPS

A VPS with GPU is purpose-built for long-running compute with root access — without the cost of full bare-metal hardware.

AI Inference & Fine-Tuning

Dedicated VRAM (up to 96GB) and full CUDA isolation eliminate the batching bottlenecks common on shared cloud GPUs — critical for stable LLM serving and supervised fine-tuning.

Recommended GPUs
RTX Pro 4000RTX Pro 5000RTX 5090RTX Pro 6000
Deploy for AI Inference

3D Rendering & CAD

24–96GB VRAM handles scenes that exceed typical workstation limits. No shared throttling means render times are predictable — making project cost estimation reliable for client work.

Recommended GPUs
RTX A4000RTX Pro 4000RTX Pro 5000RTX Pro 6000
View Rendering Plans

Video Processing & Streaming

NVENC/NVDEC hardware acceleration enables real-time 4K–8K transcoding without CPU bottlenecks. No preemption makes it viable for 24/7 broadcast or continuous batch video pipelines.

Recommended GPUs
RTX 5060RTX A4000RTX Pro 4000RTX 5090
View Video GPU Plans

Mixed & General GPU Workloads

Full root access and KVM isolation let you switch between AI, rendering, and video pipelines without re-provisioning. Compatible with Docker, Kubernetes GPU scheduling, CUDA, and cuDNN.

Recommended GPUs
RTX A4000RTX Pro 4000RTX Pro 5000RTX 5090
Explore Hosting Plans
Performance Guide

Choose the Right GPU VPS for Your Workload

Compare relative performance by scenario, then match the spec table to find the GPU that fits your model size and compute requirements.

Relative performance index for AI Inference — higher is better. Value score = performance ÷ monthly price, normalized.
Performance & Value Score (AI Inference)
Purple bar = relative performance · Teal bar = performance per dollar · higher is better
RTX 5090
Perf 90%Value %
32GB GDDR7 · 109.7 TFLOPS · $449/mo
RTX Pro 6000
Perf 96%Value %
96GB GDDR7 · 126 TFLOPS · $599/mo
RTX Pro 5000
Perf 72%Value %
48GB GDDR7 · 66.9 TFLOPS · $349/mo
RTX Pro 4000
Perf 40%Value %
24GB GDDR7 · 34 TFLOPS · $199/mo
RTX A4000
Perf 70%Value %
16GB GDDR6 · 19.2 TFLOPS · $149/mo
RTX Pro 2000
Perf 74%Value %
16GB GDDR7 · 17 TFLOPS · $119/mo
RTX 5060
Perf 66%Value %
8GB GDDR7 · 23.2 TFLOPS · $99/mo
Relative Performance Value per Dollar (normalized)
For small models and high-concurrency workloads (7B–32B, quantized inference), the RTX 5090 offers better value per dollar. For mid-to-large models (30B–70B), the Pro 6000 is recommended — our internal benchmarks show the Pro 6000 delivers 41.3% more eval tokens/s than the 5090 on the 32B DeepSeek model. See Pro 6000 benchmarks and RTX 5090 benchmarks for full details.
GPU VPS Full Specifications
Memory bandwidth and compute throughput are the primary performance drivers. "Best For" includes max model size for AI workloads.
GPU Model VRAM Mem. Bandwidth FP32 TFLOPS AI TOPS (INT8) Best For
GT730 / K6202GB~29 GB/s0.69Lightweight dev, headless browsing
RTX 50608GB448 GB/s23.2614Entry AI inference, SDXL — up to ~7B params
RTX A400016GB448 GB/s19.2153Medium AI, CAD, video — up to ~13B params
RTX Pro 200016GB288 GB/s17545Dev & testing, lightweight inference — up to ~13B params
RTX Pro 400024GB672 GB/s3477013B fine-tuning, pro rendering — up to ~20B params
RTX 509032GB GDDR71,792 GB/s109.73,352Large-model inference, video — up to ~26B params
RTX Pro 500048GB1,344 GB/s66.92,06432B model serving, VFX — up to ~40B params
RTX Pro 600096GB GDDR71,792 GB/s1264,000Enterprise LLM, 70B+ inference — up to ~80B params
vLLM benchmark (DeepSeek-R1-Distill-Qwen-14B, 50 concurrent requests): RTX Pro 5000 → 1,466 tokens/s vs A6000 → 727 tokens/s — a 2× throughput advantage at comparable cost.
Honest Guidance

When GPU VPS Is Not the Right Fit

GPU VPS excels at long-running, root-access compute. These scenarios are better served by alternative solutions.

Pure CPU Tasks
Web hosting, databases, CI/CD — GPU sits completely idle, wasted cost.
Physical Display Required
Interactive 3D modeling via monitor — VPS is headless compute only, no physical display interface.
Ultra-Low Latency (<5ms)
Network round-trip may exceed tolerance even within the same region.
→ On-premise GPU server
Short Burst Jobs Only
A few hours per day — monthly billing is not cost-efficient for sporadic usage.
Multi-GPU Distributed Training
2+ cards with NVLink — single GPU VPS cannot support multi-card interconnects.
Strict Data Residency
Medical / financial data with non-USA compliance requirements — GPU Mart data centers are US-based.
→ Regional compliant cloud provider
Rent GPU VPS when you need root access for long-running compute — AI inference, lightweight fine-tuning, video transcoding, and 3D rendering — without managing bare-metal hardware.
Not Sure? Ask Our Team
GPU VPS Stack Diagram
User Application Layer
AI · Rendering · Video
KVM Virtual Machine
Isolated vCPU · RAM · Disk
PCIe GPU Passthrough
Dedicated NVIDIA GPU
NVMe / SSD Storage
Samsung · High IOPS
Supermicro Bare Metal
Enterprise Chassis
Data Center Network
USA · Unmetered
Architecture

GPU VPS Architecture & Key Features

Built on enterprise-grade hardware with true PCIe GPU passthrough — your VPS server with GPU delivers bare-metal performance within a fully isolated virtual environment.

Dedicated GPU per VPS

PCIe passthrough assigns one NVIDIA GPU exclusively to each VPS — 100% GPU compute, zero sharing.

KVM Virtualization

Full KVM isolation for CPU, memory, and storage. Virtio drivers provide low-latency network and disk I/O.

High-Performance NVMe

Dedicated Samsung NVMe SSDs with guaranteed I/O isolation — predictable throughput for every workload.

Robust Infrastructure

Enterprise storage arrays, automated backups, 24/7 monitoring, and multi-layer security.
Technical Guides

NVIDIA VPS Performance & Technical Guides

Benchmarks, monitoring tutorials, and virtualization setup guides to understand real-world server performance and optimize AI, rendering, and video workloads.

Monitor GPU Temperature on Windows

Track CPU and GPU temperatures on Windows for better performance and system health management in your server environment.

Read Guide

vLLM GPU Benchmarks — Model Performance

Compare real-world vLLM hosting performance across GPU models to choose the right GPU server for AI inference.

Read Guide

Enable GPU Passthrough on KVM VPS

Step-by-step guide to configuring GPU passthrough on KVM VPS, including IOMMU setup, driver installation, and performance verification.

Read Guide
Customer Reviews

What Users Say About GPU Mart

Real feedback from customers running AI inference, rendering, and GPU compute workloads on GPU Mart infrastructure.

I am using their service since 6 months and everything is perfect! Helpful and prompt support, good prices, 0 KYC, reliable hardware. Keep it up. Recommending!
A
Anonymous
Verified customer · 6 months
GPU Mart has delivered a very solid experience overall. The GPU server has been stable, performant, and reliable. For anyone working on demanding workloads, having dependable infrastructure makes a real difference.
س
سالم العواد
Verified customer · Demanding GPU workloads
Really good service. I never had any issue with my GPU Server. Always online! Good prices!
S
Silva
Verified customer · Long-term GPU Server user
Reviews from gpu-mart.com on Trustpilot
FAQ

Frequently Asked Questions

Common questions about GPU VPS performance, GPU VPS price, compatibility, and how GPU Mart compares to cloud GPU providers.

For continuous workloads, GPU Mart is often more cost-efficient than AWS or RunPod. Dedicated GPUs with no resource sharing deliver more stable performance and lower total cost for long-running AI tasks.
All GPU VPS instances are fully dedicated using PCIe passthrough. There is no oversubscription, time-slicing, or sharing, ensuring consistent and predictable performance.
GPU VPS Server is ideal for AI inference, fine-tuning, rendering, and testing where cost efficiency matters. GPU dedicated servers better suit large-scale AI training, maximum throughput needs, and scenarios requiring full hardware control.
Match by VRAM and compute need:
  • AI Inference / Fine-tuning: A4000 / Pro 2000 for small–medium models; Pro 5000 / Pro 6000 for large models.
  • Video Editing / Streaming: High-memory GPUs with fast NVMe.
  • 3D Rendering: High-end GPUs with large VRAM for faster, predictable render times.
Browse all GPU plans or contact [email protected] for tailored recommendations.
Yes. Full root access lets you install any AI framework — PyTorch, TensorFlow, CUDA, Hugging Face, and custom environments.
Yes. With PCIe passthrough, GPU performance is effectively bare-metal. There is no virtualization overhead on GPU compute.
No. Pricing covers GPU, CPU, RAM, storage, bandwidth, and IP. No overage charges, hidden fees, or bandwidth limits.
Most Linux OS GPU VPS instances deploy instantly. Windows OS typically takes 1–2 hours. With 25+ GPU models in large inventory, there are no waitlists for standard deployments.
Yes. No preemption or throttling — GPU VPS instances remain stable for continuous workloads including LLM inference, batch processing, and rendering.
Yes. You can move to a higher GPU VPS tier or dedicated GPU server at any time. But we do not support switch or add extra GPU by default.
Our GPU VPS supports:
  • AI frameworks: PyTorch, TensorFlow, Keras
  • LLMs: GPT, LLaMA, Ollama, vLLM
  • AI image & video generation: Stable Diffusion, DALL·E, Runway
  • Machine learning pipelines: training, inference, fine-tuning
  • GPU-intensive tasks: data processing, analytics, model deployment
Get Started Today

Rent GPU VPS— Fast Deployment

Dedicated NVIDIA GPU resources for AI, rendering, and streaming. No hardware to manage, no hidden fees.