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Choose Your GPU VPS and GPU Server Plan
- GPU Card Classify :
- GPU Server Price:
- GPU Use Scenario:
- GPU Memory:
- GPU Card Model:
Lite GPU Dedicated Server - GT710
- 16GB RAM
- Quad-Core Xeon X3440
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce GT710
- Microarchitecture: Kepler
- CUDA Cores: 192
- GPU Memory: 1GB DDR3
- FP32 Performance: 0.336 TFLOPS
Express GPU VPS - GT730
- 8GB RAM
- 6 CPU Cores
- 120GB SSD
- 100Mbps Unmetered Bandwidth
- Once per 4 Weeks Backup
- OS: Linux / Windows 10/ Windows 11
- Dedicated GPU: GeForce GT730
- CUDA Cores: 384
- GPU Memory: 2GB DDR3
- FP32 Performance: 0.692 TFLOPS
Lite GPU Dedicated Server - GT730
- 16GB RAM
- Quad-Core Xeon E3-1230
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce GT730
- Microarchitecture: Kepler
- CUDA Cores: 384
- GPU Memory: 2GB DDR3
- FP32 Performance: 0.692 TFLOPS
Express GPU VPS - K620
- 12GB RAM
- 9 CPU Cores
- 160GB SSD
- 100Mbps Unmetered Bandwidth
- Once per 4 Weeks Backup
- OS: Linux / Windows 10/ Windows 11
- Dedicated GPU: Quadro K620
- CUDA Cores: 384
- GPU Memory: 2GB DDR3
- FP32 Performance: 0.863 TFLOPS
Lite GPU Dedicated Server - K620
- 16GB RAM
- Quad-Core Xeon E3-1270v3
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro K620
- Microarchitecture: Maxwell
- CUDA Cores: 384
- GPU Memory: 2GB DDR3
- FP32 Performance: 0.863 TFLOPS
- Ideal for lightweight Android emulators, small LLMs, graphic processing, and more. Powerful than GPU VPS.
Basic GPU VPS - P600
- 16GB RAM
- 12 CPU Cores
- 200GB SSD
- 200Mbps Unmetered Bandwidth
- Once per 4 Weeks Backup
- OS: Linux / Windows 10/ Windows 11
- Dedicated GPU: Quadro P600
- CUDA Cores: 384
- GPU Memory: 2GB GDDR5
- FP32 Performance: 1.2 TFLOPS
Express GPU Dedicated Server - P600
- 32GB RAM
- Quad-Core Xeon E5-2643
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro P600
- Microarchitecture: Pascal
- CUDA Cores: 384
- GPU Memory: 2GB GDDR5
- FP32 Performance: 1.2 TFLOPS
Express GPU Dedicated Server - P620
- 32GB RAM
- Eight-Core Xeon E5-2670
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro P620
- Microarchitecture: Pascal
- CUDA Cores: 512
- GPU Memory: 2GB GDDR5
- FP32 Performance: 1.5 TFLOPS
Express GPU Dedicated Server - P1000
- 32GB RAM
- Eight-Core Xeon E5-2690
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro P1000
- Microarchitecture: Pascal
- CUDA Cores: 640
- GPU Memory: 4GB GDDR5
- FP32 Performance: 1.894 TFLOPS
Basic GPU Dedicated Server - T1000
- 64GB RAM
- Eight-Core Xeon E5-2690
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro T1000
- Microarchitecture: Turing
- CUDA Cores: 896
- GPU Memory: 8GB GDDR6
- FP32 Performance: 2.5 TFLOPS
- Ideal for Light Gaming, Remote Design, Android Emulators, and Entry-Level AI Tasks, etc
Basic GPU Dedicated Server - GTX 1650
- 64GB RAM
- Eight-Core Xeon E5-2667v3
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce GTX 1650
- Microarchitecture: Turing
- CUDA Cores: 896
- GPU Memory: 4GB GDDR5
- FP32 Performance: 3.0 TFLOPS
Basic GPU Dedicated Server - K80
- 64GB RAM
- Eight-Core Xeon E5-2690
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Tesla K80
- Microarchitecture: Turing
- CUDA Cores: 4992
- GPU Memory: 24GB GDDR5
- FP32 Performance: 8.73 TFLOPS
- Supports CUDA versions 11.4 and lower. Suitable for small to medium-sized model training, HPC, etc. Does not support the latest AI model optimizations.
Dual GPUs, 24GB GDDR5 total (12GB per GPU)
Basic GPU Dedicated Server - GTX 1660
- 64GB RAM
- Dual 10-Core Xeon E5-2660v2
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce GTX 1660
- Microarchitecture: Turing
- CUDA Cores: 1408
- GPU Memory: 6GB GDDR6
- FP32 Performance: 5.0 TFLOPS
Professional GPU Dedicated Server - P100
- 128GB RAM
- Dual 10-Core E5-2660v2
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Tesla P100
- Microarchitecture: Pascal
- CUDA Cores: 3584
- GPU Memory: 16 GB HBM2
- FP32 Performance: 9.5 TFLOPS
- Suitable for AI, Data Modeling, High Performance Computing, etc.
Basic GPU Dedicated Server - RTX 4060
- 64GB RAM
- Eight-Core E5-2690
- 120GB SSD + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce RTX 4060
- Microarchitecture: Ada Lovelace
- CUDA Cores: 3072
- Tensor Cores: 96
- GPU Memory: 8GB GDDR6
- FP32 Performance: 15.11 TFLOPS
Multi-GPU Dedicated Server - 2xRTX 4060
- 64GB RAM
- Eight-Core E5-2690
- 120GB SSD + 960GB SSD
- 1Gbps
- OS: Windows / Linux
- GPU: 2 x Nvidia GeForce RTX 4060
- Microarchitecture: Ada Lovelace
- CUDA Cores: 3072
- Tensor Cores: 96
- GPU Memory: 8GB GDDR6
- FP32 Performance: 15.11 TFLOPS
Professional GPU Dedicated Server - RTX 2060
- 128GB RAM
- Dual 10-Core E5-2660v2
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce RTX 2060
- Microarchitecture: Ampere
- CUDA Cores: 1920
- Tensor Cores: 240
- GPU Memory: 6GB GDDR6
- FP32 Performance: 6.5 TFLOPS
- Powerful for Gaming, OBS Streaming, Video Editing, Android Emulators, 3D Rendering, etc
Advanced GPU Dedicated Server - RTX 2060
- 128GB RAM
- Dual 20-Core Gold 6148
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce RTX 2060
- Microarchitecture: Ampere
- CUDA Cores: 1920
- Tensor Cores: 240
- GPU Memory: 6GB GDDR6
- FP32 Performance: 6.5 TFLOPS
Advanced GPU Dedicated Server - RTX 3060 Ti
- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: GeForce RTX 3060 Ti
- Microarchitecture: Ampere
- CUDA Cores: 4864
- Tensor Cores: 152
- GPU Memory: 8GB GDDR6
- FP32 Performance: 16.2 TFLOPS
Multi-GPU Dedicated Server - 2xRTX 3060 Ti
- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 1Gbps
- OS: Windows / Linux
- GPU: 2 x GeForce RTX 3060 Ti
- Microarchitecture: Ampere
- CUDA Cores: 4864
- Tensor Cores: 152
- GPU Memory: 8GB GDDR6
- FP32 Performance: 16.2 TFLOPS
Multi-GPU Dedicated Server - 3xRTX 3060 Ti
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 3 x GeForce RTX 3060 Ti
- Microarchitecture: Ampere
- CUDA Cores: 4864
- Tensor Cores: 152
- GPU Memory: 8GB GDDR6
- FP32 Performance: 16.2 TFLOPS
Professional GPU VPS - A4000
- 32GB RAM
- 24 CPU Cores
- 320GB SSD
- 300Mbps Unmetered Bandwidth
- Once per 2 Weeks Backup
- OS: Linux / Windows 10/ Windows 11
- Dedicated GPU: Quadro RTX A4000
- CUDA Cores: 6,144
- Tensor Cores: 192
- GPU Memory: 16GB GDDR6
- FP32 Performance: 19.2 TFLOPS
- Available for Rendering, AI/Deep Learning, Data Science, CAD/CGI/DCC.
Advanced GPU Dedicated Server - A4000
- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A4000
- Microarchitecture: Ampere
- CUDA Cores: 6144
- Tensor Cores: 192
- GPU Memory: 16GB GDDR6
- FP32 Performance: 19.2 TFLOPS
Multi-GPU Dedicated Server - 2xRTX A4000
- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 1Gbps
- OS: Windows / Linux
- GPU: 2 x Nvidia RTX A4000
- Microarchitecture: Ampere
- CUDA Cores: 6144
- Tensor Cores: 192
- GPU Memory: 16GB GDDR6
- FP32 Performance: 19.2 TFLOPS
- Good choice for hosting AI image generator, BIM, 3D rendering, CAD, deep learning, etc.
Advanced GPU Dedicated Server - V100
- 128GB RAM
- Dual 12-Core E5-2690v3
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia V100
- Microarchitecture: Volta
- CUDA Cores: 5,120
- Tensor Cores: 640
- GPU Memory: 16GB HBM2
- FP32 Performance: 14 TFLOPS
- Cost-effective for AI, deep learning, data visualization, HPC, etc
Multi-GPU Dedicated Server - 3xV100
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 3 x Nvidia V100
- Microarchitecture: Volta
- CUDA Cores: 5,120
- Tensor Cores: 640
- GPU Memory: 16GB HBM2
- FP32 Performance: 14 TFLOPS
- Expertise in deep learning and AI workloads with more tensor cores
Multi-GPU Dedicated Server - 8xV100
- 512GB RAM
- Dual 22-Core E5-2699v4
- 240GB SSD + 4TB NVMe + 16TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 8 x Nvidia Tesla V100
- Microarchitecture: Volta
- CUDA Cores: 5,120
- Tensor Cores: 640
- GPU Memory: 16GB HBM2
- FP32 Performance: 14 TFLOPS
Advanced GPU Dedicated Server - A5000
- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A5000
- Microarchitecture: Ampere
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPS
Multi-GPU Dedicated Server - 2xRTX A5000
- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 1Gbps
- OS: Windows / Linux
- GPU: 2 x Quadro RTX A5000
- Microarchitecture: Ampere
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPS
Multi-GPU Dedicated Server - 3xRTX A5000
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 3 x Quadro RTX A5000
- Microarchitecture: Ampere
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPS
Enterprise GPU Dedicated Server - A40
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia A40
- Microarchitecture: Ampere
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 37.48 TFLOPS
- Ideal for hosting AI image generator, deep learning, HPC, 3D Rendering, VR/AR etc.
Enterprise GPU Dedicated Server - RTX A6000
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A6000
- Microarchitecture: Ampere
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPS
Multi-GPU Dedicated Server - 3xRTX A6000
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 3 x Quadro RTX A6000
- Microarchitecture: Ampere
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPS
Multi-GPU Dedicated Server - 4xRTX A6000
- 512GB RAM
- Dual 22-Core E5-2699v4
- 240GB SSD + 4TB NVMe + 16TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 4 x Quadro RTX A6000
- Microarchitecture: Ampere
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPS
Multi-GPU Dedicated Server - 8xRTX A6000
- 512GB RAM
- Dual 22-Core E5-2699v4
- 240GB SSD + 4TB NVMe + 16TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 8 x Quadro RTX A6000
- Microarchitecture: Ampere
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPS
Enterprise GPU Dedicated Server - RTX 4090
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: GeForce RTX 4090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
Enterprise GPU Dedicated Server - RTX 5090
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: GeForce RTX 5090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 20,480
- Tensor Cores: 680
- GPU Memory: 32 GB GDDR7
- FP32 Performance: 109.7 TFLOPS
Multi-GPU Dedicated Server- 2xRTX 4090
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 2 x GeForce RTX 4090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
Basic GPU Dedicated Server - RTX 5060
- 64GB RAM
- 24-Core Platinum 8160
- 120GB SSD + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce RTX 5060
- Microarchitecture: Blackwell 2.0
- CUDA Cores: 4608
- Tensor Cores: 144
- GPU Memory: 8GB GDDR7
- FP32 Performance: 23.22 TFLOPS
Multi-GPU Dedicated Server- 2xRTX 5090
- 256GB RAM
- Dual Gold 6148
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 2 x GeForce RTX 5090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 20,480
- Tensor Cores: 680
- GPU Memory: 32 GB GDDR7
- FP32 Performance: 109.7 TFLOPS
Enterprise GPU Dedicated Server - A100
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia A100
- Microarchitecture: Ampere
- CUDA Cores: 6912
- Tensor Cores: 432
- GPU Memory: 40GB HBM2
- FP32 Performance: 19.5 TFLOPS
- Good alternativeto A800, H100, H800, L40. Support FP64 precision computation, large-scale inference/AI training/ML.etc
Multi-GPU Dedicated Server - 2xA100
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: Nvidia A100
- Microarchitecture: Ampere
- CUDA Cores: 6912
- Tensor Cores: 432
- GPU Memory: 40GB HBM2
- FP32 Performance: 19.5 TFLOPS
- Free NVLink Included
- A Powerful Dual-GPU Solution for Demanding AI Workloads, Large-Scale Inference, ML Training.etc. A cost-effective alternative to A100 80GB and H100, delivering exceptional performance at a competitive price.
Enterprise GPU Dedicated Server - A100(80GB)
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia A100
- Microarchitecture: Ampere
- CUDA Cores: 6912
- Tensor Cores: 432
- GPU Memory: 80GB HBM2e
- FP32 Performance: 19.5 TFLOPS
Multi-GPU Dedicated Server - 4xA100
- 512GB RAM
- Dual 22-Core E5-2699v4
- 240GB SSD + 4TB NVMe + 16TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 4 x Nvidia A100
- Microarchitecture: Ampere
- CUDA Cores: 6912
- Tensor Cores: 432
- GPU Memory: 40GB HBM2
- FP32 Performance: 19.5 TFLOPS
Enterprise GPU Dedicated Server - H100
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia H100
- Microarchitecture: Hopper
- CUDA Cores: 14,592
- Tensor Cores: 456
- GPU Memory: 80GB HBM2e
- FP32 Performance: 183TFLOPS
Features of GPU Server Plans
Remote Access (RDP/SSH) | done | RDP for Windows server and SSH for Linux Server |
Control Panel | Free | Free control panel for management of servers, orders, tickets, invoices, etc. |
Administrator Permission | done | You have full control of your dedicated server. |
24/7/365 Support | done | We offer 24/7 tech support via Ticket and Livechat |
Server Reboot | Free | |
Hardware Replacement | Free | |
Operating System Re-Installation | Free | Maximum twice a month and $25.00 each time for additional reloads. |
Operating System | Optional | Free CentOS, Ubuntu, Debian, Fedora, OpenSUSE. Microsoft Windows Server 2019/2022 Standard Edition x64:$20/m Microsoft Windows 10/11 Pro Evaluation: 90-day free trial. Please purchase a Win10/11 Pro license by yourself after the trial period. |
Free Shared DNS Service | done |
Additional Memory | 16GB: $5.00/month 32GB: $9.00/month 64GB: $19.00/month 128GB: $29.00/month 256GB: $49.00/month | A $39 one-time setup fee applies. |
Additional SATA Drives | 2TB SATA: $9.00/month 4TB SATA: $19.00/month 8TB SATA: $29.00/month 16TB SATA (3.5’ Only): $39.00/month | A $39 one-time setup fee applies. |
Additional SSD Drives | 240GB SSD: $5.00/month 960GB SSD: $9.00/month 2TB SSD: $19.00/month 4TB SSD: $29.00/month | A $39 one-time setup fee applies. |
Additional Dedicated IP | $2.00/month/IPv4 or IPv6 | IP purpose required. Maximum 16 per package. |
Shared Hardware Firewall | $29.00/month. A $39 one-time setup fee applies. | Shared firewall is used by 2-7 users who share a single Cisco ASA 5520 firewall, including shared bandwidth. It does not have superuser privileges. |
Dedicated Hardware Firewall | $99.00/month. A $39 one-time setup fee applies. | Dedicated firewall allocates one user to a Cisco ASA 5520/5525 firewall, providing superuser access for independent and personalized configurations, such as firewall rules and VPN settings. |
Remote Data Center Backup(Windows Only) | 40GB Disk Space: $30.00/month 80GB Disk Space: $60.00/month 120GB Disk Space: $90.00/month 160GB Disk Space: $120.00/month | We will use Backup For Workgroups to backup your server data (C: partition only) to our remote data center servers twice per week. You can restore the backup files in your server at any time by yourself. |
Bandwidth Upgrade | Upgrade to 200Mbps(Shared): $10.00/month Upgrade to 1Gbps(Shared): $20.00/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. |
Private Network | $10.00/month/server | |
HDMI Dummy | $15 setup fee per server | A one-time setup fee is charged for each server and cannot be transferred to other servers. |
NVLink | 1xNVLink for 2xA5000 cards: $30/month 1xNVLink for 2xA6000 cards: $30/month 2xNVLink for 4xA6000 cards: $60/month 3xNVLink for 6xA6000 cards: $90/month 4xNVLink for 8xA6000 cards: $120/month 3xNVLinks for 2xA100 cards: $90/month 6xNVLinks for 4xA100 cards: $180/month A $39 one-time setup fee applies. | NVLink is a high-speed interconnect technology developed by NVIDIA that allows GPUs to communicate with each other and share data at much faster rates than traditional PCIe connections. Please note that the 2xA100, 2xA5000, and 2xA6000 servers are customized configurations, which may incur additional fees, such as for chassis upgrades. For an accurate quote, please contact us. |
Why Choose Us as Your GPU VPS Hosting Provider
24/7/365 Managed Tech Support
High-Performance GPU VPS Hosting
Cost-Effective VPS with Video Card
Easy to Start
USA Data Centers
Run Android Emulator on a GPU VPS Server or GPU Dedicated Server
With full support for OpenGL, WebGL, and DirectX, these servers are capable of running multiple emulator instances simultaneously. This makes them perfect for use cases such as automated Android app testing, multi-account social media management, game video playback, and script automation.
Choose from a variety of high-performance configurations featuring powerful GPUs, CPUs, and memory to meet your budget and workload requirements.
With hundreds or even thousands of parallel processing cores, GPUs excel at both 2D and 3D rendering tasks. Their exceptional graphics performance enables smooth gameplay at higher resolutions, faster frame rates, or both—delivering an immersive and responsive gaming experience.
Light AI Workloads on GPU VPS or Dedicated Servers
>Unlike heavy AI training that requires clusters of GPUs, many practical AI applications—like running a trained model for predictions or powering AI chat interfaces—can be handled efficiently with a single GPU. With support for popular frameworks such as TensorFlow, PyTorch, and ONNX, and high-speed CPUs and memory, these servers offer a cost-effective solution for AI developers, startups, and researchers looking to deploy intelligent features at scale without overspending.
With support for hardware encoders like NVENC and QuickSync, our servers handle 720p to 4K streaming.
Our OBS-ready servers support popular platforms such as YouTube, Twitch, Dailymotion, Muvi, and Uscreen. Choosing the right NVIDIA GPU depends on your specific streaming needs—whether it’s for encoding, recording, or handling complex scenes.
Customer Voice about DBM GPU VPS Hosting or Dedicated GPU Server
FAQs of GPU Dedicated Server or GPU VPS
When is a Dedicated GPU necessary?
Separate memory from the rest of the computer
Improved graphics, perfect for high-end gaming
Improved video editing
Quick access to high-definition images
Why put a GPU in a server?
What is GPU hosting?
How to choose the best GPU VPS?
Look after the dedicated infrastructure. Then look at the CUDA Cores. If a GPU server doesn't offer decent performance, don't even bother. Also look for the SSL certificate. Your VPS hosting really needs to be as good as possible.
What are the benefits of GPU VPS?
What operating systems does GPU VPS support?
Can I run BlueStacks on the GPU VPS?
How do I run MEmu on the GPU VPS?
What is the difference between CPU and GPU?
Because GPUs can perform parallel operations on multiple sets of data, they are also commonly used for non-graphical tasks such as machine learning and scientific computation. Designed with thousands of processor cores running simultaneously, GPUs enable massive parallelism where each core is focused on making efficient calculations.