Is GPU Mart's GPU VPS better than AWS or RunPod for GPU workloads?

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.

Which GPU VPS should I choose for my workload?

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 our team for tailored recommendations.

Are there any hidden costs or bandwidth limits on your GPU VPS?

No. Pricing covers GPU, CPU, RAM, storage, bandwidth, and IP. No overage charges, hidden fees, or bandwidth limits.

Do you support scaling or upgrading later on GPU VPS server?

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.

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About Us

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Dedicated GPU VPS Rental

GPU VPS Hosting with a Dedicated NVIDIA GPU

Q: Are the GPUs truly dedicated or shared on GPU VPS hosting?

All GPU VPS instances are fully dedicated using PCIe passthrough. There is no oversubscription, time-slicing, or sharing, ensuring consistent and predictable performance.

Q: When should I choose GPU VPS instead of a dedicated GPU server?

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.

Q: Can I run PyTorch, TensorFlow, or custom AI environments on your GPU VPS?

Yes. Full root access lets you install any AI framework - PyTorch, TensorFlow, CUDA, Hugging Face, and custom environments.

Q: Is GPU VPS performance comparable to a dedicated server?

Yes. With PCIe passthrough, GPU performance is effectively bare-metal. There is no virtualization overhead on GPU compute.

Q: Can I deploy a GPU VPS server instantly?

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.

Q: Is GPU Mart's GPU VPS suitable for long-running AI workloads?

Yes. No preemption or throttling - GPU VPS instances remain stable for continuous workloads including LLM inference, batch processing, and rendering.

GPU VPS hosting with a dedicated NVIDIA GPU via PCIe passthrough — no GPU sharing or GPU oversubscription. Run AI inference, fine-tuning, rendering, and development workloads with root access.

View GPU VPS Plans Compare All GPU Plans

Dedicated GPU
Full SSH Root Access
Linux OS

99.9% Uptime SLA
<5 Min Support Response
10-Min GPU VPS Deployment

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 - 2GB

$ 21.00/mo

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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

$ 85.00/mo

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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 A4000

$ 119.00/mo

PrepaidOn-Demand

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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

Professional GPU VPS - RTX Pro 2000

$ 116.35/mo

35% OFF (Was $179.00)

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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

Advanced GPU VPS - RTX Pro 4000

$ 189.00/mo

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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 5090

$ 419.00/mo

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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

Advanced GPU VPS - RTX Pro 5000

$ 359.00/mo

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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

Enterprise GPU VPS - RTX Pro 6000

$ 649.00/mo

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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

Support and Management Features for GPU Server(Click to View Details)

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Why GPU VPS

Why Choose Our GPU VPS Hosting

The most affordable GPU VPS — 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.

Want To Test Your Workload?

Ask About a GPU VPS Trial

Fully Dedicated GPU Performance

Every GPU VPS hosting instance uses PCIe passthrough with zero oversubscription — consistent, predictable compute for AI, training, and rendering.

Better GPU Value Than Cloud Providers

Larger CPU, RAM, and NVMe allocations at lower total cost than AWS, RunPod, or Lambda Labs for GPU hosting.

Built for Continuous AI Workloads

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

Flexible GPU Cloud & Developer-Friendly

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

Instant Deployment, Transparent Pricing

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

Reliable GPU Infrastructure & 24/7 Support

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

Value Comparison

GPU VPS Price: GPU Mart vs RunPod

At the same or lower monthly price, our GPU VPS hosting delivers newer-generation GPUs with more VRAM, higher compute throughput, and fully dedicated resources at every tier.

GPU Hosting Model	GPU Mart Price	VRAM	RunPod Comparable	RunPod Price	Advantage
RTX Pro 200016GB GDDR7	$149/month	16 GB	RTX 2000 AdaRunPod · 16GB	$173/month	13% cheaper · 20% faster overall
RTX Pro 400024GB GDDR7	$189/month	24 GB	RTX 4000 AdaRunPod · 20GB	$187/month	+4GB VRAM · 27% faster · 1.9× CUDA
RTX Pro 500048GB GDDR7	$359/month	48 GB	A6000RunPod · 48GB	$353/month	Lower cost · 80% FP32 gain · 2.8× ray tracing
RTX 509032GB GDDR7	$449/month	32 GB	RTX 4090RunPod · 24GB	$446/month	+8GB VRAM · 150%+ AI performance

Performance data sourced from NVIDIA official specifications and published benchmarks (FP32, CUDA render, LLM inference throughput). Pricing accurate at time of publication. Need a cheap GPU VPS? Plans start from $21/month with no hidden fees.

Rent GPU VPS Now

Use Cases

Suitable Workloads for GPU VPS Computing

Purpose-built for long-running compute with root access — without the cost of full bare-metal hardware.

AI GPU VPS for 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, fine-tuning, and other GPU for AI workloads. A VPS with GPU gives you full control without bare-metal cost.

Recommended GPUs

RTX 5090RTX A4000RTX 5060

Deploy GPU for AI Inference

GPU VPS Rental for 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 on your instance.

Recommended GPUs

RTX A4000RTX 5090RTX 5060

View Rendering Plans

Rent GPU VPS for 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 on your instance.

Recommended GPUs

RTX 5060RTX A4000RTX 5090

View Video Plans

GPU VPS server for Mixed & General 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 on your instance.

Recommended GPUs

RTX A4000RTX 5090RTX 5060

Explore All Plans

Performance Guide

Choose the Right GPU VPS Hosting for AI Workloads

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

Performance scored out of 100 — higher is better. Value score reflects real-world performance per dollar, normalized across all GPU tiers.

GPU VPS Model	VRAM / TFLOPS	Price/mo	AI Inference (Perf / Value)	3D Rendering (Perf / Value)	Video Processing (Perf / Value)
RTX 5090	32GB GDDR7 · 109.7	$449	90% / 95%	100% / 88%	100% / 90%
RTX Pro 6000	96GB GDDR7 · 126	$599	96% / 78%	93% / 70%	90% / 72%
RTX Pro 5000	48GB GDDR7 · 66.9	$349	88% / 100%Value King	88% / 95%	85% / 96%
RTX Pro 4000	24GB GDDR7 · 34	$199	82% / 92%	82% / 100%Value King	82% / 92%
RTX A4000	16GB GDDR6 · 19.2	$149	70% / 70%	72% / 78%	70% / 75%
RTX Pro 2000	16GB GDDR7 · 17	$119	74% / 90%	65% / 90%	78% / 98%Value King
RTX 5060	8GB GDDR7 · 20	$99	66% / 88%	60% / 85%	80% / 100%

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 it delivers 41.3% more eval tokens/s than the RTX 5090 on the 32B DeepSeek model. See Pro 6000 benchmarks and RTX 5090 benchmarks for full details.

GPU VPS Hosting Full Specifications

In GPU VPS hosting, memory bandwidth and compute throughput are the primary performance drivers. "Best For" includes max model size for AI workloads on your instance.

GPU Model	VRAM	Mem. Bandwidth	FP32 TFLOPS	AI TOPS (INT8)	Best For
GT730 / K620	2GB	~29 GB/s	0.69	—	Lightweight dev, headless browsing
RTX 5060	8GB	448 GB/s	20	614	Entry AI inference, SDXL — up to ~7B params
RTX A4000	16GB	448 GB/s	19.2	153	Medium AI, CAD, video — up to ~13B params
RTX Pro 2000	16GB	288 GB/s	17	545	Dev & testing, lightweight inference — up to ~13B params
RTX Pro 4000	24GB	672 GB/s	34	770	13B fine-tuning, pro rendering — up to ~20B params
RTX 5090	32GB GDDR7	1,792 GB/s	109.7	3,352	Large-model inference, video — up to ~26B params
RTX Pro 5000	48GB	1,344 GB/s	66.9	2,064	32B model serving, VFX — up to ~40B params
RTX Pro 6000	96GB GDDR7	1,792 GB/s	126	4,000	Enterprise LLM, 70B+ inference — up to ~80B params

vLLM benchmark (DeepSeek-R1-Distill-Qwen-14B, 50 concurrent requests): the Pro 5000 → 1,466 tokens/s vs A6000 → 727 tokens/s — a 2× throughput advantage at comparable cost.

Honest Guidance

When a GPU VPS Server Is Not the Right Fit

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

Pure CPU Tasks — No GPU Needed

Web hosting, databases, CI/CD — GPU sits completely idle, wasted cost.

Physical Display Needed — Instances Are Headless

Interactive 3D modeling via monitor — a VPS with GPU is headless compute only, no physical display interface.

→ GPU Dedicated Server

Ultra-Low Latency (<5ms) — Latency Limitation

Network round-trip may exceed tolerance even within the same region.

→ On-premise dedicated GPU

Short Burst Jobs — GPU VPS Rental Tradeoff

A few hours per day of GPU VPS hosting — monthly billing is not cost-efficient when you rent VPS with GPU only sporadically.

→ Hourly Plans

Multi-GPU Training — Beyond a Single GPU

2+ cards with NVLink — a single instance cannot support multi-card interconnects.

→ Multi-GPU Dedicated Server

Strict Data Residency — Data Center Locations

Medical / financial data with non-USA compliance requirements — our data centers are US-based.

Regional compliant cloud provider

Rent VPS with GPU when you need root access for long-running compute — AI inference, lightweight fine-tuning, video transcoding, and 3D rendering — without managing bare-metal hardware.

Deploy GPU VPS Now

GPU VPS Hosting 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 Hosting Architecture & Key Features

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

One Dedicated GPU per Instance

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

KVM Virtualization for GPU Instances

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

High-Performance NVMe Storage

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

Robust GPU Infrastructure

Enterprise storage arrays, automated backups, 24/7 monitoring, and multi-layer security for your instance.

Technical Guides

GPU VPS Performance & Technical Guides

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

Top Linux GPU Monitoring Tools

Monitor GPU utilization, memory usage, temperature, and active processes on Linux with GPUStat, NVTOP, and NVITOP.

Read the Guide

vLLM Benchmarks — Model Performance

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

Read the Guide

GPU Passthrough on Your KVM Instance

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

Read the Guide

Customer Reviews

What Our Customers Say About Our GPU VPS

Real feedback from customers who rent VPS with GPU for AI inference, rendering, and demanding compute workloads. Learn why users choose our infrastructure for reliable performance and flexible GPU server rental.

★★★★★

I am using their service since 6 months and everything is perfect! Helpful and prompt support, good prices, 0 KYC, and reliable hardware. Keep it up. Recommending!

Anonymous

Verified customer · 6 months

★★★★★

Our service has delivered a very solid experience overall. The infrastructure has been stable, performant, and reliable. For anyone working on demanding AI workloads, dependable compute resources make a real difference.

سالم العواد

Verified customer · Demanding GPU workloads

★★★★★

Really good service. I never had any issue with my instance. Always online and reliable! Renting a VPS with GPU was simple, and the pricing has been very reasonable for long-term workloads.

Silva

Verified customer · Long-term user

Reviews from gpu-mart.com on Trustpilot

FAQ

Frequently Asked GPU VPS Questions

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

How do we compare with AWS or RunPod?

For continuous workloads, our affordable GPU VPS is often more cost-efficient than AWS or RunPod. A dedicated GPU VPS with no resource sharing delivers more stable performance and lower total cost for long-running AI tasks on your instance.

Are the GPUs truly dedicated or shared?

All VPS with GPU instances are fully dedicated using PCIe passthrough. There is no oversubscription, time-slicing, or sharing, ensuring consistent and predictable performance for your instance.

When should I choose a VPS instead of a dedicated GPU server?

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.

Which GPU should I choose for my workload?

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 plans or contact [email protected] for tailored recommendations.

Can I run PyTorch, TensorFlow, or custom AI environments?

Yes. Full root access lets you install any AI framework — PyTorch, TensorFlow, CUDA, Hugging Face, and custom environments on your instance.

Is performance comparable to a dedicated server?

Yes. With PCIe passthrough, GPU performance is effectively bare-metal. There is no virtualization overhead on GPU compute for your instance.

Are there any hidden costs or bandwidth limits?

No hidden fees. Need a cheap GPU VPS? Our rental pricing covers GPU, CPU, RAM, storage, bandwidth, and IP — with no overage charges or bandwidth limits.

Can I deploy a GPU VPS server instantly?

Most Linux GPU VPS instances deploy in as fast as 10 minutes. Deployment time may vary depending on GPU availability and the selected configuration.

Can it handle long-running AI workloads?

Yes. No preemption or throttling — instances remain stable for continuous workloads including LLM inference, batch processing, and rendering.

Do you support scaling or upgrading later?

Yes. You can move to a higher tier or dedicated server at any time. But we do not support switch or add extra GPU by default.

What AI applications are supported on GPU VPS server?

Our service 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

Choose Your Plan

Ready to Choose Your GPU VPS?

Find a GPU VPS plan for your workload and budget, or compare other GPU server options.

View GPU VPS Plans Compare All GPU Plans

99.9% Uptime SLA

<5 Min Support Response

10-Min GPU VPS Deployment

Additional Dedicated IP	$2.00/month/IP (IPv4 or IPv6)	Max 2 per plan, purpose required.
Bandwidth Upgrade	Upgrade to 1000Mbps(Shared): $10.00/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.
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.