High-Performance GPU Hosting & Rental

Deploy dedicated GPU servers or flexible GPU rentals in minutes. Built for AI inference, 3D rendering, and high-performance applications on cloud that demand consistent compute power. From short-term GPU rental to fully dedicated GPU servers, run your projects on a stable environment with a reliable and trustworthy GPU hosting provider.

25K+

GPU Servers Delivered

3.5K+

Active Graphics Cards

7Year

GPU Hosting Expertise

25+

Nvidia GPU Models

Enterprise-Grade Nvidia GPU Servers for Demanding Workloads

Each GPU is deployed in a dedicated server environment with high-core CPUs, large-capacity ECC memory, NVMe storage, and high-bandwidth network connectivity β€” delivering stable performance for AI, rendering, and data-intensive workloads.
Nvidia GPUsGPU MemoryCPURAMStorageNetworkOrder
RTX PRO 6000 (Blackwell) πŸ”₯96GB32Cores90GB400GB SSD1Gbps
RTX PRO 5000 (Blackwell) πŸ”₯48GB24Cores60GB320GB SSD500Mbps
RTX PRO 4000 (Blackwell) πŸ”₯24GB24Cores60GB320GB SSD500Mbps
RTX PRO 2000 (Blackwell) πŸ”₯16GB16Cores30GB240GB SSD300Mbps
RTX 5090 πŸ”₯32GB32Cores90GB400GB SSD500Mbps
RTX 5060 πŸ”₯8GB16Cores30GB240GB SSD200Mbps
RTX 409024GB36Cores256GB240GB SSD + 2TB NVMe + 8TB SATA100M-1Gbps Shared, Upgradable
NVIDIA H10080GB HBM36Cores256GB240GB SSD + 2TB NVMe + 8TB SATA1Gbps
NVIDIA A10080GB HBM36Cores256GB240GB SSD + 2TB NVMe + 8TB SATA1Gbps
RTX A600048GB36Cores256GB240GB SSD + 2TB NVMe + 8TB SATA1Gbps
RTX A500024GB24Cores128GB240GB SSD + 2TB SSD100M-1Gbps Shared, Upgradable
RTX A400016GB24Cores30GB320GB SSD500Mbps
RTX A4048GB36Cores256GB240GB SSD + 2TB NVMe + 8TB SATA100M-1Gbps Shared, Upgradable
Pricig of GPU Serversarrow_circle_right

Keys Features of GPU Hosting & Rental

GPU server with stable operation and continuous performance in enterprise-class environments.

✨ Optimized for Long-Running Tasks

Ideal for AI model Inference, large inference jobs, simulations, and rendering that run for days or weeks.
Consistent GPU Performance

Consistent GPU Performance

No resource throttling or shared GPU contention. Designed for sustained workloads like AI inference and long render jobs.
Dedicated Server Environment

Dedicated Server Environment

GPU resources run in isolated server environments to ensure predictable compute behavior.

✨ Enterprise Hardware Foundation

High-core CPUs, ECC memory, and NVMe storage built for continuous high-load operation.
Data Center Infrastructure

Data Center Infrastructure

Hosted in professional US data center facilities with redundant power and cooling systems.
Blackwell Architecture

Blackwell Architecture

The new Blackwell architecture is designed specifically for AI training and inference.

✨ Operational Reliability

Infrastructure designed for continuous uptime and dependable resource access.
24/7 Technical Support

24/7 Technical Support

Experienced engineers available to assist with system, network, and deployment issues.
Proactive Infrastructure Monitoring

Proactive Infrastructure Monitoring

Server and network health are continuously monitored to maintain operational stability.

✨ Network & Access

Supports large dataset transfers, remote workflows, and parallel inference.
Low-Latency Remote Access

Low-Latency Remote Access

Smooth remote desktop, SSH, and development access.
Public IP & Full Port Control

Public IP & Full Port Control

Flexible network configuration with configurable firewall and port management.

✨ System Flexibility

Windows & Linux OS are Compatible with major AI frameworks, rendering engines, and development tools.
Full Root / Administrator Access

Full Root / Administrator Access

Install and configure your own drivers, frameworks, and software stack.
Persistent Storage Environment

Persistent Storage Environment

Your data and environments remain intact for long-term projects.

✨ Built for Long-Term Workloads

Suitable for teams and businesses running ongoing AI and compute services.
No Preemption or Forced Reclaims

No Preemption or Forced Reclaims

Resources are not reclaimed unexpectedly, ensuring inference and rendering jobs complete without interruption.
Ideal for Continuous AI Training

Ideal for Continuous AI Inference

Designed for workloads that run 24/7 over extended periods.

What Can You Do with GPU Servers?

The versatility and powerful functions of GPU server hosting make it a valuable resource for a wide range of applications, especially those that need a lot of parallel processing capabilities.

Stable Infrastructure for Production AI Inference

Run large language models, vision models, and other AI inference workloads on dedicated GPU servers designed for continuous operation. Our infrastructure delivers consistent performance for APIs, internal AI tools, and long-running inference services without resource interruption.

βœ… Suitable for LLM, vision, and multimodal inference
βœ… Consistent performance for 24/7 AI services
βœ… Full control over runtime environment and frameworks
GPT-OSS
GPT-OSS 20B/120B
deepseek
Deepseek-R1, Deepseek-V3
llama
llama2, llama3
Gemma
Gemma2, Gemma3
Stable Diffusion (SD 1.5 / SDXL)
Stable Diffusion (SD 1.5 / SDXL)
ComfyUI and Automatic1111 workflows
ComfyUI & Automatic1111 Workflows
LoRA Fine-Tuning and Custom Checkpoints
LoRA Fine-Tuning Custom Checkpoints
Gemma
LTX-2 Text/Image/Depth/Canny to Video

GPU for Generative Image and Video Workloads(AIGC)

From Stable Diffusion and ComfyUI pipelines to video generation models, our GPU hosting platform provides the memory capacity and sustained performance required for creative AI workflows. Ideal for batch generation, fine-tuning, and continuous content production.

βœ… High-VRAM GPUs for diffusion and video models
βœ… Stable performance for long render queues
βœ… Supports custom workflows and toolchains

Rendering & Visual Computing

Designed for 3D rendering, animation, and visual simulation, our GPU servers provide reliable compute performance for rendering engines and creative production pipelines. Suitable for studios, freelancers, and distributed render workloads that require predictable performance.

βœ… Supports GPU render engines and creative tools
βœ… Consistent performance for long rendering tasks
βœ… High-speed storage for project assets and cache data
Blender + Cycles (GPU)
Blender + Cycles (GPU)
Redshift
Redshift (GPU)
Arnold GPU
Arnold (GPU)
V-Ray (GPU)
V-Ray (GPU)

Built on Proven Infrastructure Technologies

Nvidia
CUDA
Linux
KVM
Nvme
ECC
Intel
AMD
microsoft
samsung
sk hynix
western digital

Beginner Guidance to GPU Servers: Ordering, Management & Connection

What People Say About GPU Mart Service

Our commitment to integrity and caring service has earned countless positive reviews and recommendations from customers.
Reliable for long-running AI workloads
We use their GPU servers to host internal LLM inference services that run 24/7. Stability has been solid, and performance is consistent over time, which is critical for our production environment. The ability to keep the same machine long-term without unexpected interruptions really makes a difference.
ξ Έξ Έξ Έξ Έξ Έ
Great for sustained rendering projects
Our studio runs multi-day rendering jobs, and these GPU servers handle continuous workloads without performance drops. Storage speed and system responsiveness are both good, even with large project files. It feels more like dedicated infrastructure than temporary cloud instances.
ξ Έξ Έξ Έξ Έξ Έ
Practical infrastructure for generative AI workflows
We generate large batches of AI images and short videos every day. The higher-VRAM GPU options are especially helpful for complex models and workflows. Having full system access also makes it easier to customize our pipeline. Support has been responsive whenever we needed help.
ξ Έξ Έξ Έξ Έξ Έ

GPU Server Fault Monitoring and Repair

Monitor CPU and GPU Temp on Windows

How To Monitor CPU and GPU Temp on Windows

CPU and GPU temp affects the performance and longevity of your hardware. There are multiple ways to monitor GPU and CPU temp on Windows.....Read More >
GPU Not Showing Up

Why GPU Not Showing Up in Task Manager? How to Fix it?

There are several potential reasons why your GPU may not be visible in the Task Manager. In this quick guide, I’ll walk you through some simple steps to get your GPU to show up properly so you can monitor its status....Read More >
Nvidia-smi Command

How to Use Nvidia-smi Command on Windows & Ubuntu

The nvidia-smi command line tool allows to manage, monitor and get information about Nvidia GPU devices installed in the system...Read More >

FAQs of GPU Hosting & Rental

What is the difference between GPU hosting and GPU rental?


GPU hosting typically refers to longer-term, dedicated GPU server deployments designed for continuous workloads. GPU rental can include shorter billing cycles, but the infrastructure is still built for stable, sustained performance rather than temporary shared usage.

Are the GPUs dedicated or shared?


Our GPU servers are deployed in dedicated environments, ensuring predictable performance without resource contention from other users.

Can I run long-term AI training jobs on these servers?


Yes. The infrastructure is designed for continuous, high-load operation, making it suitable for AI model training, large inference tasks, and other workloads that run for extended periods.

Which operating systems are supported?


Both Windows and Linux environments are available. Users have full administrative access to install drivers, frameworks, and software required for their workflows.

Do you provide root or administrator access?


Yes. You have full control over the server environment, allowing custom AI frameworks, rendering engines, and development tools to be installed.

Is the storage local or network-based?


GPU servers include high-speed NVMe storage attached to the server, providing fast data access for datasets, caching, and project files.

How is network for remote access and data transfer?


Servers are connected through high-bandwidth data center networks, supporting remote development, large dataset transfers, and distributed workflows with low latency.

Are these servers suitable for rendering workloads?


Yes. GPU servers are well-suited for GPU-based rendering engines and creative production pipelines that require consistent performance over long render sessions.

Can I upgrade GPU or system resources later?


In many cases, configurations can be adjusted or migrated based on workload growth. Our team can help recommend suitable upgrade paths.

Do you offer technical support?


Yes. 24/7 technical support is available to assist with server, network, and infrastructure-related issues.