Vultr GPU云 – 高性能GPU实例
几分钟内部署NVIDIA A100和H100 GPU服务器。专为全球AI训练、LLM推理和GPU加速工作负载构建。
GPU规格
| GPU Model | Compute | VRAM | Bandwidth |
|---|---|---|---|
| NVIDIA A100 80GB | 312 TFLOPS FP16 | 80 GB HBM2e | 2.0 TB/s |
| NVIDIA H100 80GBLatest Gen | 3,958 TFLOPS FP8 | 80 GB HBM3 | 3.35 TB/s |
VRAM Requirements by Model Size
您可以构建什么
LLM Hosting & Inference
Serve LLaMA 3, Mistral, Mixtral, and Falcon models via vLLM or TGI. A single A100 80GB handles 70B models at 4-bit precision.
Stable Diffusion & Image AI
Run SDXL, ControlNet, and LoRA pipelines at scale. Generate thousands of images per hour with GPU-optimized diffusion settings.
AI Model Training
Full PyTorch/TensorFlow training runs with NVLink multi-GPU parallelism. Reduce training time from days to hours.
AI Video Generation
Deploy Wan2.1, CogVideoX, and Sora-class video models. GPU-accelerated video rendering and generation pipelines.
Scientific Compute
Molecular dynamics, fluid simulations, climate modeling, and Monte Carlo using CUDA-accelerated libraries.
Vector Database & RAG
GPU-accelerated Faiss, Milvus, and Qdrant indexing for RAG pipelines handling billions of embeddings.
Related Technical Guides
Related Infrastructure Pages
GPU云常见问题
Vultr 提供哪些类型的 GPU?
Vultr 提供 NVIDIA A100 80GB 和 H100 80GB 实例用于企业级 AI 工作负载,以及用于开发和测试的消费级 RTX 系列 GPU。
我多久可以部署一个 Vultr GPU 服务器?
GPU 服务器可以在创建账户后几分钟内配置并运行。
我可以使用 Vultr GPU 进行 LLM 推理吗?
可以。Vultr GPU 实例非常适合使用 vLLM、TGI 和 Ollama 等框架运行 LLM 推理。
Vultr GPU 服务器支持多 GPU 配置吗?
是的,Vultr 支持带有 NVLink 连接的多 GPU 实例,用于分布式训练和大型模型服务。
Ready to Deploy on Vultr GPU Cloud?
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