V100-sxm2-32g 300G NVlink互连 双卡 外置算力坞

Posted on 2025年7月23日

¥4,980.00

这是一款专为高性能计算和AI训练打造的双卡水冷计算平台,基于国内最新的SXM2双卡NVLink扩展方案。它集成了两张NVIDIA Tesla V100-SXM2 16GB专业显卡,配备水冷系统、优化的电源和结构设计,轻松应对大规模AI训练、科学仿真等重载任务。

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描述

tesla v100双卡水冷显卡坞 外置显卡 32g显存nvlink,满足实现你对V100双卡Nvlink的所有要求,轻便,紧凑,安静,算力澎拜。

对标3090-24G,4090-24G,同等一万CUDA核心配置下,显存32G更胜一筹。

可以直接运行各种32B-Q4大模型

主机再配一张16G或以上英伟达显卡,即可运行任何70B-Q4量化模型。

现货发售,下单即发顺丰。

利用PEX8749芯片将一条pcie3.0x16拆分成两条pcie3.0x16通道,再通过主板Nvlink 6通道双向25G全速连接,双V100之间通迅速率达300G

双240冷排高效水冷配置,静心运行,为两块功率达300瓦的V100散热,日常运行llm,温度不超过47度,满载V100核心温度不超过60度。

机身尺寸:40×20.5x41cm

内置:240冷排x2

水冷头:铝合金均热板+紫铜核心+亚克力本体。

水泵:高速潜水泵

V100组合方案:
1、16G+16G=32G
2、16G+32G=48G
3、32G+32G=64G
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这是一款专为高性能计算和AI训练打造的双卡水冷计算平台,基于国内最新的SXM2双卡NVLink扩展方案。它集成了两张NVIDIA Tesla V100-SXM2 16GB专业显卡,配备水冷系统、优化的电源和结构设计,轻松应对大规模AI训练、科学仿真等重载任务。

为什么选择这款产品?

超强算力,专业计算利器

搭载两张 Tesla V100 显卡,总共拥有 10240 个 CUDA 核心 和 640 个 Tensor 核心,专为科学计算、深度学习、高性能仿真而设计。
显存总容量达到 32GB 高速 HBM2 显存,带宽高达 每秒 900GB(单卡),远超普通显卡,轻松处理大模型与大数据。

高速互联,效率翻倍

两张显卡通过 NVLink 2.0 实现高速连接,数据传输带宽高达 300 GB/s(双向),远快于传统 PCIe 接口,有效提升多卡协同效率。
利用先进的 PEX8749 芯片,让主机一个 PCIe 插槽即可连接两张独立显卡,突破硬件限制。

即插即用,部署简单

插上转接卡后系统自动识别,无需额外驱动,快速部署。
可灵活扩展,支持多组设备组成 4 卡、8 卡甚至更多 GPU 计算集群,适应不断增长的业务需求。

强力水冷系统,稳定运行

专业定制水冷方案,配合高效电源,保障双卡在高负载下长时间稳定工作。

模块化设计节省空间,非常适合数据中心或实验室环境使用。

【注意】v100功率300瓦,HBM发热量巨大,一般风冷难以压制,有条件尽量上水冷,否则容易烧坏核心与HBM显存。

【注意】提供原装驱动安装指导,不掉驱动,包点亮

【注意】水冷风扇,冷盖板,Nvlink转接卡(非人为损坏情况下)保修6个月。
【注意】正规开票:普票+6%

Tesla V100 Dual Card Water Cooling Graphics Card Dock

External graphics card with 32G memory and NVLink, meeting all your requirements for V100 dual card NVLink. Lightweight, compact, quiet, and powerful.

Comparable to 3090-24G and 4090-24G, with the same 10,000 CUDA core configuration, our 32G memory outperforms them.

Can run various 32B-Q4 large models directly.

With an additional 16G or higher NVIDIA graphics card in the host, you can run any 70B-Q4 quantization model.

In stock, ships immediately via SF Express.

Using the PEX8749 chip, one PCIe 3.0 x16 channel is split into two PCIe 3.0 x16 channels, and then connected to the motherboard via NVLink 6-channel dual-way 25G full-speed connection, with a data transfer rate of 300G between the two V100 cards.

Dual 240mm radiator water cooling configuration, silent operation, cooling two 300W V100 cards, with a daily operating temperature not exceeding 47°C and a full-load V100 core temperature not exceeding 60°C.

Body size: 40 x 20.5 x 41 cm

Internal: 2 x 240mm radiators

Water cooling head: Aluminum alloy heat sink + copper core + acrylic body

Water pump: High-speed submerged pump

V100 combination scheme:

  1. 16G + 16G = 32G
  2. 16G + 32G = 48G
  3. 32G + 32G = 64G

Introduction:

This is a high-performance computing and AI training platform, built with the latest domestic SXM2 dual-card NVLink expansion scheme. It integrates two NVIDIA Tesla V100-SXM2 16GB professional graphics cards, with a water cooling system, optimized power supply, and structural design, easily handling large-scale AI training, scientific simulations, and other heavy-duty tasks.

Why choose this product?

Ultra-powerful computing, professional calculation tool

Equipped with two Tesla V100 graphics cards, with a total of 10,240 CUDA cores and 640 Tensor cores, designed for scientific computing, deep learning, and high-performance simulations.

Total memory capacity reaches 32GB high-speed HBM2 memory, with a bandwidth of up to 900GB/s (single card), far surpassing ordinary graphics cards, easily handling large models and big data.

High-speed interconnection, double efficiency

Two graphics cards connected via NVLink 2.0, with a data transfer bandwidth of up to 300 GB/s (dual-way), far faster than traditional PCIe interfaces, effectively improving multi-card collaboration efficiency.

Using the advanced PEX8749 chip, one PCIe slot can connect two independent graphics cards, breaking hardware limitations.

Plug-and-play, easy deployment

System automatically recognizes the card after insertion, no need for additional drivers, quick deployment.

Can be flexibly expanded, supporting multiple devices to form 4-card, 8-card, or more GPU computing clusters, adapting to growing business needs.

Powerful water cooling system, stable operation

Customized water cooling scheme, combined with efficient power supply, ensuring stable operation of the dual cards under high load.

Modular design saves space, suitable for data centers or laboratory environments.

Note:

  • V100 power consumption is 300W, HBM heat generation is huge, and air cooling is difficult to suppress. Water cooling is recommended to avoid damaging the core and HBM memory.
  • Original driver installation guidance is provided, with no driver drop, and a guarantee of lighting up.
  • Water cooling fan, cold cover, NVLink conversion card (non-human damage) are warranted for 6 months.
  • Formal invoice: general invoice + 6%