Dedicated GPU Servers
租用 GPU 服务器
专用 GPU 服务器租赁完整指南。比较配置、价格，为您的 AI 工作负载找到最佳供应商。
8x A100
Max Configuration
640GB
Max VRAM
100Gbps
Network Speed
<5 min
Setup Time
GPU Server Configurations
Choose the right server for your workload. All configurations include dedicated resources.
| Configuration | GPU | CPU | RAM | Storage | Price/Hour | Price/Month |
|---|---|---|---|---|---|---|
Starter Server Individual researchers, small projects | 1x RTX 4090 24GB VRAM | 16 cores | 64GB | 1TB NVMe | $2.50 | $1,200 |
Professional Server Small teams, medium models | 2x RTX 4090 48GB total VRAM | 32 cores | 128GB | 2TB NVMe | $5.00 | $2,400 |
Enterprise Server Large models, production training | 4x A100 40GB 160GB total VRAM | 64 cores | 512GB | 4TB NVMe | $20.00 | $9,600 |
High-Memory Server LLM training, research labs | 8x A100 80GB 640GB total VRAM | 128 cores | 1TB | 8TB NVMe | $50.00 | $24,000 |
Common Use Cases
GPU servers power a wide range of AI workloads
🤖
LLM Fine-tuning
Fine-tune large language models like LLaMA, Mistral, or custom models
Requirements: Multi-GPU A100/H100 servers with NVLink
👁️
Computer Vision Training
Train object detection, segmentation, and classification models
Requirements: RTX 4090 or A100 with large storage for datasets
⚡
AI Inference at Scale
Serve AI models to thousands of users with low latency
Requirements: Multiple GPUs with high-bandwidth networking
🔬
Research & Development
Experiment with new architectures and training techniques
Requirements: Flexible GPU configuration with persistent storage
Dedicated Server vs Shared Cloud
Understanding the differences helps you choose the right option
| Feature | Dedicated Server | Shared Cloud Instance |
|---|---|---|
| Resource Access | Exclusive, guaranteed | May vary with load |
| Performance Consistency | Always consistent | Can vary (noisy neighbors) |
| Customization | Full control, any software | Limited to provider images |
| Scaling | Fixed capacity | Scale up/down instantly |
| Cost Model | Hourly or monthly flat rate | Per-minute billing |
| Best For | Long-running, production workloads | Burst, experimental work |
Benefits of Dedicated GPU Servers
- Guaranteed Performance: No resource contention with other users
- Full Root Access: Install any software, framework, or tool
- Persistent Environment: Your setup remains across restarts
- Better Security: Isolated hardware for sensitive workloads
- Predictable Costs: Fixed monthly pricing available
- 24/7 Availability: Always-on for production workloads
常见问题