Hong Kong · USA
NVIDIA RTX/Tesla Graphics Cards · High Performance Computing · NVMe SSD Storage · Low Latency Direct Connection
Ideal for AI Training · Deep Learning · Graphics Rendering · Video Processing · Minute-Level Activation
2 regional nodes with NVIDIA professional graphics cards to meet AI and graphics computing needs
NVIDIA RTX/Tesla Graphics Cards
High Bandwidth & Performance
Professional GPU computing platform with enterprise-grade performance to accelerate your AI and graphics projects
Equipped with NVIDIA RTX and Tesla series professional graphics cards, powerful CUDA cores and Tensor cores
Supports CUDA, TensorFlow, PyTorch, and other mainstream AI frameworks with excellent computing performance
Pre-installed deep learning environment, activated in 10 minutes, ready to use immediately
Encrypted data storage, regular backups, 99.9% uptime SLA guarantee
Support on-demand upgrades for GPU, CPU, and memory configurations with hourly or monthly billing
GPU expert team available around the clock, providing technical consulting and problem resolution
A GPU Server is a server equipped with professional graphics cards (such as NVIDIA Tesla, RTX series) specifically designed for high-performance computing tasks. Compared to CPUs, GPUs have significant advantages in parallel computing, particularly Ideal for AI training, deep learning, graphics rendering, and other scenarios.
GPU Servers are mainly used for: deep learning model training, AI inference, image/video processing, 3D rendering, scientific computing, data analytics, cryptocurrency mining, game servers, and other scenarios requiring massive parallel computing.
RTX series (such as RTX 3080/4090) are Ideal for small to medium-scale AI training and graphics rendering; Tesla series (such as V100/A100) are Ideal for large-scale deep learning and scientific computing. Selection should consider memory size, number of CUDA cores, and budget.
Our GPU Servers support all mainstream deep learning frameworks, including: TensorFlow, PyTorch, Keras, MXNet, Caffe, etc. Servers come pre-installed with CUDA and cuDNN for immediate use.
We provide both hourly and monthly billing options. Hourly billing is Ideal for short-term projects or testing, while monthly billing is more economical. You can upgrade or downgrade configurations at any time.
Yes. You can remotely access GPU Servers via SSH, Remote Desktop (Windows), or Jupyter Notebook. We provide complete root/administrator privileges.
We use enterprise-grade hardware with dedicated GPUs (no overselling), equipped with high-speed NVMe SSDs and large memory. We also provide 99.9% SLA guarantee and 7×24 hour technical support.
We provide encrypted data storage, regular automatic backups, DDoS protection, and other security measures. You can also create snapshots at any time to back up important data.