Global GPU Servers🛡️ DDoS Protection

TooServer offers GPU servers in 1 regions, NVIDIA RTX/Tesla series, from $571/mo. Ideal for AI training, deep learning, and rendering.

1Regions
3Customization
$571From/mo
99.9%SLA Guarantee
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About This Service

GPU servers are equipped with high-performance graphics cards designed for parallel computing intensive tasks. Compared to CPUs, GPUs have thousands of cores that can significantly accelerate AI model training, scientific computing, and graphics rendering workloads.

⚠️
Data Input
→
🔄
GPU Parallel Computing
→
✅
Result Output
NVIDIA Professional GPUsHigh-speed NVLinkLarge VRAMCUDA Optimization

Use Cases

🧠
AI Model TrainingDeep learning framework acceleration
🎬
Video Rendering4K/8K real-time rendering
🔢
Scientific ComputingLarge-scale parallel computing
📦
3D ModelingComplex model real-time processing

How to Choose?

1

Choose GPU Model

Based on task type
RTX 4090 AI InferenceA100 Model Training RecommendedHotMulti-GPU Cluster Large Scale
2

Determine GPU Count

Based on task scale
Single GPU-Entry level2-4 GPUs-Medium projectsHot8 GPUs-Large scale
3

Supporting Resources

Match CPU and memory
Training-Large memoryInference-BalancedHotRendering-High-freq CPU

Ready to Start?

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Need Guidance?

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Sha Tin

Sha Tin Servers

3 Configs Available · From $571/月

View All 3 Options →
GPU
CPU2xE5-2698v3 32 Cores 64 Threads
RAM64GB
Storage800G SSD
Bandwidth20M
GPUGeForce RTX 3080 10G
$571
Deploy Now
GPU
CPU2xEPYC-7302 32 Cores 64 Threads
RAM64GB
Storage960G SSD
Bandwidth20M
GPUTesla V100 16G
$714
Deploy Now
GPU
CPU2xEPYC-7502 64 Cores 128 Threads
RAM128GB
Storage960G SSD
Bandwidth20M
GPU2xTesla V100 16G
$1571
Deploy Now

FAQ

What can GPU servers do? What uses are prohibited?

Suitable for: AI training/inference, deep learning, cloud gaming, 3D rendering, video transcoding, scientific computing. PROHIBITED: Cryptocurrency mining is strictly forbidden - violations result in immediate termination without refund. Other illegal uses also prohibited.

How is the computing performance of GPU servers?

Performance specs (RTX 4090 example): FP32 compute 82.6 TFLOPS; Memory bandwidth 1008 GB/s; 16384 CUDA cores; 128 ray tracing cores; 512 Tensor cores. Real performance: BERT training 15x faster, Stable Diffusion 3 seconds per image.