Express GPU VPS - GT730
- 8GB RAM
- Dedicated GPU: GeForce GT730
- 6 CPU Cores
- 120GB SSD
- 100Mbps Unmetered Bandwidth
- OS: Linux / Windows 10/ Windows 11
- Once per 4 Weeks Backup
- Single GPU Specifications:
- CUDA Cores: 384
- GPU Memory: 2GB DDR3
- FP32 Performance: 0.692 TFLOPS
Basic GPU VPS - P600
- 16GB RAM
- Dedicated GPU: Quadro P600
- 12 CPU Cores
- 200GB SSD
- 200Mbps Unmetered Bandwidth
- OS: Linux / Windows 10/ Windows 11
- Once per 4 Weeks Backup
- Single GPU Specifications:
- CUDA Cores: 384
- GPU Memory: 2GB GDDR5
- FP32 Performance: 1.2 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
Express GPU VPS - K620
- 12GB RAM
- Dedicated GPU: Quadro K620
- 9 CPU Cores
- 160GB SSD
- 100Mbps Unmetered Bandwidth
- OS: Linux / Windows 10/ Windows 11
- Once per 4 Weeks Backup
- Single GPU Specifications:
- CUDA Cores: 384
- GPU Memory: 2GB DDR3
- FP32 Performance: 0.863 TFLOPS
Express GPU Dedicated Server - P620
- 32GB RAM
- GPU: Nvidia Quadro P620
- Eight-Core Xeon E5-2670
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Pascal
- CUDA Cores: 512
- GPU Memory: 2GB GDDR5
- FP32 Performance: 1.5 TFLOPS
Express GPU Dedicated Server - P1000
- 32GB RAM
- GPU: Nvidia Quadro P1000
- Eight-Core Xeon E5-2690
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Pascal
- CUDA Cores: 640
- GPU Memory: 4GB GDDR5
- FP32 Performance: 1.894 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 1650
- 64GB RAM
- GPU: Nvidia GeForce GTX 1650
- Eight-Core Xeon E5-2667v3
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Turing
- CUDA Cores: 896
- GPU Memory: 4GB GDDR5
- FP32 Performance: 3.0 TFLOPS
Professional GPU Dedicated Server - RTX 2060
- 128GB RAM
- GPU: Nvidia GeForce RTX 2060
- Dual 10-Core E5-2660v2
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ampere
- CUDA Cores: 1920
- Tensor Cores: 240
- GPU Memory: 6GB GDDR6
- FP32 Performance: 6.5 TFLOPS
Basic GPU Dedicated Server - RTX 4060
- 64GB RAM
- GPU: Nvidia GeForce RTX 4060
- Eight-Core E5-2690
- 120GB SSD + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ada Lovelace
- CUDA Cores: 3072
- Tensor Cores: 96
- GPU Memory: 8GB GDDR6
- FP32 Performance: 15.11 TFLOPS
Advanced GPU Dedicated Server - RTX 3060 Ti
- 128GB RAM
- GPU: GeForce RTX 3060 Ti
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ampere
- CUDA Cores: 4864
- Tensor Cores: 152
- GPU Memory: 8GB GDDR6
- FP32 Performance: 16.2 TFLOPS
Professional GPU Dedicated Server - P100
- 128GB RAM
- GPU: Nvidia Tesla P100
- Dual 10-Core E5-2660v2
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Pascal
- CUDA Cores: 3584
- GPU Memory: 16 GB HBM2
- FP32 Performance: 9.5 TFLOPS
- Suitable for AI, Data Modeling, High Performance Computing, etc.
Advanced GPU Dedicated Server - V100
- 128GB RAM
- GPU: Nvidia V100
- Dual 12-Core E5-2690v3
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Volta
- CUDA Cores: 5,120
- Tensor Cores: 640
- GPU Memory: 16GB HBM2
- FP32 Performance: 14 TFLOPS
Advanced GPU Dedicated Server - A4000
- 128GB RAM
- GPU: Nvidia Quadro RTX A4000
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ampere
- CUDA Cores: 6144
- Tensor Cores: 192
- GPU Memory: 16GB GDDR6
- FP32 Performance: 19.2 TFLOPS
Advanced GPU Dedicated Server - A5000
- 128GB RAM
- GPU: Nvidia Quadro RTX A5000
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ampere
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPS
Enterprise GPU Dedicated Server - A40
- 256GB RAM
- GPU: Nvidia A40
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ampere
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 37.48 TFLOPS
Enterprise GPU Dedicated Server - RTX 4090
- 256GB RAM
- GPU: GeForce RTX 4090
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- 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 A6000
- 256GB RAM
- GPU: Nvidia Quadro RTX A6000
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ampere
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPS
Multi-GPU Dedicated Server - 3xV100
- 256GB RAM
- GPU: 3 x Nvidia V100
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Volta
- CUDA Cores: 5,120
- Tensor Cores: 640
- GPU Memory: 16GB HBM2
- FP32 Performance: 14 TFLOPS
Multi-GPU Dedicated Server - 3xRTX A5000
- 256GB RAM
- GPU: 3 x Quadro RTX A5000
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ampere
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPS
Multi-GPU Dedicated Server - 3xRTX A6000
- 256GB RAM
- GPU: 3 x Quadro RTX A6000
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- 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
- GPU: 8 x Quadro RTX A6000
- Dual 22-Core E5-2699v4
- 240GB SSD + 4TB NVMe + 16TB SATA
- 1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Ampere
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPS
Unlocking High-Performance Computing with Cloud GPU Servers
GPU Cloud Computing Server for Deep Learning
GPU cloud server can efficiently deal with complex operations and contribute to deep learning functions such as matrix operation, only computing preconditions, and computing power.
Graphics Processing Unit Cloud Remote Server for AI
Customer Voice about Cloud GPU Hosting
FAQs of GPU Server, Cloud Computing Remote Server
What is a cloud GPU?
Visual workloads: powerful server/desktop applications often use highly graphical content. Cloud GPU can be used to accelerate video coding, rendering, and streaming media, as well as computer-aided design (CAD) applications.
Computational workload: large-scale mathematical modeling, deep learning, and analysis require the parallel processing capability of the general graphics processing unit (GPGPU) kernel.
What can Nvidia GPU cloud servers be used for?
Can I upgrade or downgrade to another plan of Nvidia GPU Cloud server?
Do you offer a free trial for the cloud GPU server hosting?
1. Choose a plan and click 'Order Now'.
2. Enter ‘24-hour free trial’ in the notes section and click “Check Out”.
3. Click 'Submit Trial Request' at the top right corner, and complete your personal information as instructed; no payment is required.
Once we receive your trial request, we’ll send you the login details within 30 minutes to 2 hours. If your request cannot be approved, you will be notified via email.