NVIDIA Tesla P40 · 24GB VRAM

vLLLM GPU 服务器

使用专用 NVIDIA GPU 硬件的 vLLM 提供最大传输量的大型语言模型。 从框中打开 OpenAI 兼容的 API 。

$ pip install vllm && vllm serve meta-llama/Llama-3-8B-Instruct --host 0.0.0.0
# 运行于 NVIDIA Tesla P40 (24GB)
准备就绪 。 _

GPU VPS上是什么?

vLLM 是一个高通量LLM 服务引擎,使用 PagedAttention 来高效的内存管理。 在 GPU VPS 上运行 vLLM 给您一个具有最佳性能的可生产性 LLM API 。

为什么在 VPS.org GPU 上vLLM

页面访问

高效的 GPU 存储管理,用于更高的输送量。

连续对接

处理多个同时提出的请求,并优化利用全球保护联盟。

O开放AI API

OpenAI API 端点的空置替换 。

示范支助支助

LLAMA、Mistral、Gemma、Quen和50+模型建筑。

流行 vLLM 使用案例

LLM APP 生产
高流量聊天机
批发文本处理
多租租客LLM服务
AI SaaS 后端
企业AIAI平台

GPU 指定

GPU 通用 GPUNVIDIA Tesla P40
卷内24 GB GDDR5X
CUDA核心3,840
FP3212 TFLOPS
INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT847 TOPS
内存 BW346 GB/s
建筑结构结构Pascal (GP102)
被动通过巴巴金属多氯二苯基

常问问题

What is vLLM on a GPU VPS?

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vLLM on a GPU VPS is a CUDA-accelerated deployment. vLLM is primarily an LLM-inference / chat workload. You will want fast random-access reads from disk to memory and enough VRAM for the model plus context window.

How do I set up vLLM on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install vllm && vllm serve meta-llama/Llama-3-8B-Instruct --host 0.0.0.0. Your vLLM environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for vLLM?

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LLM inference VRAM scales with model parameters. A 7B model needs ~5-8 GB VRAM, 13B ~10-14 GB, 70B requires multi-GPU or quantization. Our 24 GB Tesla P40 comfortably runs 7B-13B models at full precision and 30B-class models with INT8 quantization.

Is vLLM GPU VPS billed hourly or monthly?

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GPU VPS plans are billed monthly with no lock-in contracts and can be cancelled anytime. Contact us for current GPU pricing tiers.

Can I run other tools alongside vLLM?

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Yes — you have full root on the GPU VPS. Run whatever fits inside the 24 GB VRAM and the available RAM / storage budget alongside vLLM.

Do I get full root on the vLLM GPU VPS?

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Yes. Full root SSH on every GPU VPS — install drivers, swap CUDA versions, customize the environment for vLLM however you need.

Which CUDA version is installed for vLLM?

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GPU VPSs ship with a recent CUDA runtime and the matching NVIDIA driver pre-installed. You can pin or upgrade CUDA versions as required by your vLLM workload.

Does my vLLM GPU VPS persist between sessions?

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Yes — your vLLM GPU VPS is a long-running persistent server, not an ephemeral instance. Models, configs, and data stay on the SSD between sessions.

Where should I store data for my vLLM workload?

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Keep working data on the VPS SSD for fast access during vLLM runs; back up finished artifacts (weights, generations, embeddings) off-server via snapshots or object storage for safety.

Can I scale my vLLM GPU VPS later?

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Yes — plan upgrades are instant from your control panel; the GPU itself can be swapped to a larger tier on request. Your vLLM install carries over.

Are backups available for my GPU VPS?

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Yes. Automated daily backups are an add-on; manual snapshots are free. Useful for long vLLM training runs where you want a checkpointable server state.

Is there a money-back guarantee on the GPU VPS?

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Yes — 30-day money-back guarantee on every plan including GPU. Try vLLM on a GPU VPS risk-free.

准备在 GPU 上运行 vLLM 吗?

在几分钟内部署专用的 NVIDIA GPU 服务器。 没有预约, 没有销售电话 。

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