GPU云基础设施

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。

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GPU规格

GPU ModelComputeVRAMBandwidth
NVIDIA A100 80GB312 TFLOPS FP1680 GB HBM2e2.0 TB/s
NVIDIA H100 80GBLatest Gen3,958 TFLOPS FP880 GB HBM33.35 TB/s

VRAM Requirements by Model Size

~14 GB
7B params
FP16
1× A100
~26 GB
13B params
FP16
1× A100
~140 GB
70B params
FP16
2× A100 or 1× H100 NVL
~35–45 GB
70B params
4-bit
1× A100 (quantized)

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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