Cost Efficiency
Save up to 2–5× compared to other traditional GPU hosting providers with a gpu dedicated server built for consistent performance and lower long-term compute costs.
Rent dedicated server with GPU from ServerMart USA data center, engineered for AI training, HPC, and rendering, with powerful performance, full control, and rock-solid reliability.
ServerMart high-Performance GPU Dedicated Servers built for speed, flexibility, and cost savings.
Save up to 2–5× compared to other traditional GPU hosting providers with a gpu dedicated server built for consistent performance and lower long-term compute costs.
Choose from multiple NVIDIA GPU tiers on a dedicated server with gpu, including GTX, RTX, and data center models, to match workloads like AI, rendering, and inference.
Rent dedicated server with graphics card from ready stock and get deployed in as fast as 2–4 hours, ideal for urgent projects and scaling needs.
Reduce up to 75% project time with high-performance GPU dedicated servers built for AI training, 3D rendering, streaming, gaming, and other demanding workloads.
Accelerate rendering for 3D models, animations, and video production with a dedicated server with graphics card and NVIDIA GPU acceleration.
Deploy AI workloads on GPU dedicated servers optimized for TensorFlow, PyTorch, LLM inference, computer vision, and deep learning applications.
Handle simulations, scientific computing, and large-scale processing with a dedicated server with GPU built for intensive workloads.
Enjoy smooth 24/7 gaming, virtual desktops, and VR applications with powerful GTX dedicated servers and low-latency performance.
Stream games, applications, and media efficiently with a rent dedicated server with GPU solution designed for high-bandwidth streaming workloads.
Transcode and process high-resolution video faster using a dedicated server with graphics card for encoding, editing, and media workflows.
Dedicated server with GPU plans support 20+ of the latest GPU models—including RTX 5090, A100, H100—now featuring next-generation Blackwell architecture.
| GPU Model | CPU | Memory | Disk | Bandwidth | Price | |
|---|---|---|---|---|---|---|
P1000 | 8-Core Xeon E5-2690 | 32GB RAM | 120GB SSD + 960GB SSD | 100Mbps Unmetered | $40.70/mo | Order Now |
RTX 3060 Ti | 24-Core Dual E5-2697v2 | 128GB RAM | 240GB SSD+2TB SSD | 100Mbps Unmetered | $107.55/mo | Order Now |
RTX A4000 | 24-Core Dual E5-2697v2 | 128GB RAM | 240GB SSD+2TB SSD | 100Mbps Unmetered | $209.00/mo | Order Now |
RTX A5000 | 24-Core Dual E5-2697v2 | 128GB RAM | 240GB SSD+2TB SSD | 100Mbps Unmetered | $174.50/mo | Order Now |
RTX 4090 | 36-Core Dual E5-2697v4 | 256GB RAM | 240GB SSD+2TB NVMe+8TB SATA | 100Mbps Unmetered | $307.44/mo$0.70/hour | Order Now |
RTX A6000 | 36-Core Dual E5-2697v4 | 256GB RAM | 240GB SSD+2TB NVMe+8TB SATA | 100Mbps Unmetered | $329.40/mo | Order Now |
RTX 5090 | 36-Core Dual E5-2697v4 | 256GB RAM | 240GB SSD+2TB NVMe+8TB SATA | 100Mbps Unmetered | $479.00/mo | Order Now |
Choose the right GPU based on what you plan to build. From AI training and inference to gaming and video streaming, find the best-fit dedicated server with graphics card below.
| GPU Tier | Recommended Models | AI Training | AI Inference | 3D Rendering | Video / Streaming | Gaming | Best For |
|---|---|---|---|---|---|---|---|
|
Entry-Level
Entry-Level
P600 / P1000
|
P600 / P1000 | ✕ | Not recommend | Light | Light | Light | Remote Desktop, Dev Testing, Light Gaming, Streaming |
|
Budget
Budget Gaming & Streaming
GTX 1650 / GTX 1660
|
GTX 1650 / GTX 1660 | Not recommend | Very Light | Medium | Medium (1080p) | ✓ | Indie Devs, Small Streaming Apps |
|
Best Streaming
Best Streaming & Gaming
RTX 3060 Ti
|
RTX 3060 Ti | Small Models | Small Models | High | ✓ 1080p–4K | ✓ | AI Startups, Video Platforms |
|
Professional RTX
Professional RTX
RTX 4090
|
RTX 4090 | ✓ | Mid–Large Models (7B+) | Ultra | ✓ | ⭐⭐⭐ | AI Labs, High-End Rendering |
|
Next-Gen
Next-Gen Performance
RTX 5090
|
RTX 5090 | Large Models | ⭐⭐⭐ | Ultra | ✓ | ⭐⭐⭐⭐ | AI & Gaming Platforms |
|
Workstation
Workstation / Enterprise
RTX A4000 / RTX A5000
|
RTX A4000 / RTX A5000 | ✓ | ✓ Mid–Large | Professional | ✓ | Medium | AI SaaS, Production Pipelines |
|
Data Center
Data Center GPU
A40 / RTX A6000
|
A40 / RTX A6000 | ✓ | ✓ Large Models | Studio-Level | ✓ | Medium | Enterprise AI Tasks |
|
AI Powerhouse
AI Training Powerhouse
A100
|
A100 | Large Models | Large Scale | ✕ | ✕ | ✕ | LLM Training, AI Inference |
|
Extreme AI
Extreme AI Compute
A100 (80GB) / H100
|
A100 (80GB) / H100 | Frontier Models | Large Scale (14B+) | ✕ | ✕ | ✕ | Research, Large AI Companies |
GPU VRAM directly impacts AI model size, rendering complexity, and real-time GPU performance.
Ideal for cloud gaming servers, video streaming, and lightweight AI inference workloads.
Best for 7B–13B model inference, mid-scale AI training, and high-performance GPU compute.
Designed for enterprise AI deployment and large-model fine-tuning. Suitable for models like Llama 13B, Llama 34B (optimized), Mistral 7B/8x7B, and other production AI inference workloads.
Built for large language model training and distributed AI workloads. Ideal for Llama 70B, Mixtral 8x7B, large-scale fine-tuning, and enterprise LLM infrastructure.
A closer look at performance, flexibility, and reliability in ServerMart GPU dedicated servers.
ServerMart GPU dedicated servers provide access to a wide range of NVIDIA GPU options, including RTX 5090, RTX 4090, RTX A6000, A100, and H100, designed for AI workloads, rendering, gaming, and high-performance computing.
Choose from single or multi-GPU dedicated server with GPU setups, including up to 4× GPUs, 16GB–512GB RAM options, NVMe SSD storage, and dedicated bandwidth for AI and rendering workloads on reliable infrastructure.
ServerMart dedicated servers with graphics card are built for production workloads, offering up to 99.9% uptime SLA, hosted in enterprise US-based data centers to ensure stable long-term operation and consistent high GPU performance.
Get expert help anytime with free 24/7 support for setup, optimization, and troubleshooting of your GPU dedicated server, ensuring smooth deployment and stable performance for your business.
Find answers to the most frequently asked questions before you rent dedicated server with GPU.
A GPU dedicated server is a dedicated server with dedicated graphics processing units (GPUs). These servers are designed to handle compute-intensive tasks and are typically used in applications such as deep learning, artificial intelligence, machine learning, rendering, and scientific simulations.
Our dedicated GPU servers offer high-performance configurations with large memory and high-speed SSD storage, often at a lower cost compared to similar plans from other providers. We own our hardware, which reduces middleman markups, and bring over 7 years of experience in managing GPU servers. In addition, every GPU server rental comes with free technical support, ensuring reliable performance for AI training, 3D rendering, and other demanding workloads.
GTX dedicated servers are provided with dedicated GTX (GeForce GTX) graphics cards. GTX dedicated servers are designed for applications that require high-performance graphics processing, such as games, 3D rendering, virtual reality, and video editing.
To connect to a dedicated server with GPU, the method depends on the server's operating system. For Linux GPU Server: Use the Secure Shell (SSH) protocol. SSH allows you to remotely access the server's command-line interface (CLI) or GUI via an SSH client. You will need the server's IP address or hostname and the SSH credentials (username/password or SSH key) provided by your hosting provider. Common SSH clients include PuTTY (Windows) or the built-in ssh command on Linux/macOS. For Windows Server with GPU: Use Remote Desktop Protocol (RDP) to connect. Open Remote Desktop Connection on your computer, enter the server's IP address, and log in with the Windows credentials provided. For advanced setups, you can also use PowerShell Remoting or third-party RDP clients.
Servers with dedicated GPU are compatible with a variety of operating systems, including popular options such as Linux (such as Ubuntu, CentOS, or Debian) and Windows Server editions (such as Windows Server 2016 or 2019). The choice of operating system depends on your specific requirements and software compatibility.
A dedicated server with graphics card can be managed and monitored in a number of ways, including: Command Line Interface (CLI): You can use SSH to access the server's CLI and use commands to perform administrative tasks. Monitoring tools: You can leverage monitoring tools such as Grafana, Prometheus, or Nagios to track server performance, GPU usage, and other system metrics.
If you rent a dedicated GPU server, you can easily upgrade or expand its resources. For disk space, memory, or bandwidth, contact our support team to add more resources to your existing server. If you want to upgrade the GPU or CPU, we recommend either switching to a new high-performance GPU server plan or contacting support for a custom dedicated GPU server solution. This ensures your dedicated server with GPU meets your AI training, 3D rendering, or other computing needs.
Most of our GPU dedicated servers have no setup fees. Certain high-end configurations may incur a one-time setup fee due to their complexity. Additional costs may apply only if you require extra plugins or a Windows Server license. There are no hidden fees.
Get high-performance GPU servers with a wide range of the latest GPUs, owned hardware, 24/7 support, and unbeatable value for AI, rendering, and HPC workloads.