描述
为AI训练与科学计算赋能的尖端硬件平台
本服务器采用顶级硬件架构设计，专为深度学习、高性能计算（HPC）及大规模数据处理场景优化，提供卓越的并行计算能力与极致能效表现。
核心配置亮点
1. 双路顶级计算引擎
搭载 2颗 Intel Xeon E5-2682v4 处理器（16核32线程，2.5GHz~3.0GHz），提供512线程超强并行处理能力，满足多任务密集型负载需求。
2. 四卡GPU算力集群
集成 4× NVIDIA Tesla V100 16GB SXM2 计算卡（基于Volta架构，5120 CUDA核心 + 640 Tensor核心），支持PCIe 3.0×16高速互联，提供高达 224 TFLOPS 深度学习性能，适用于大规模AI模型训练与推理。
配套 4× SXM2 to PCIe 专业转接卡，确保GPU与主板间无损带宽传输。
3. 企业级稳定架构
超微X10DRG-Q 双路服务器主板：支持8通道内存、多PCIe扩展槽及硬件级冗余设计，为关键业务提供可靠运行基础。
128GB三星DDR4 ECC内存（4×32GB 2400MHz）：高效纠错能力保障数据完整性，应对海量数据集处理。
4. 极速存储与高效散热
长城GW3500 2TB NVMe SSD：PCIe 3.0协议顺序读写达3.5GB/s，加速模型加载与结果输出。
定制化水冷解决方案：
4× 铝合金GPU水冷头 + 2× 360mm大尺寸冷排，精准压制V100 300W TDP发热，保障持续满血运算。
5. 专业级供电与扩展
长城巨龙2000W 80Plus金牌电源：高效转换率（＞90%）与多重电路保护，支撑四GPU峰值功耗。
追风者PK620全塔机箱：支持E-ATX主板、多冷排安装及模块化理线，为复杂硬件提供充裕空间。
应用场景定位
# 人工智能：千亿参数级大模型训练、实时推理部署
# 科学研究：分子动力学模拟、气候建模、基因测序
# 工程计算：CAE流体仿真、有限元分析、渲染农场节点
品质承诺
所有组件均采用工业级标准（服务器专用内存/电源/散热方案），通过72小时压力测试验证系统稳定性，提供定制化运维监控接口，助力用户聚焦核心业务创新。
技术备注：SXM2接口GPU通过转接卡实现PCIe兼容，在保留完整计算能力的同时，提供灵活部署方案；水冷系统需由认证工程师安装调试。
此配置将计算密度、能效比与可靠性完美结合，是前沿科研机构与企业技术团队的理想算力基石。
High-Performance Computing Server Product Description
Empowering AI Training and Scientific Computing with Cutting-Edge Hardware
This server adopts a top-tier hardware architecture design, optimized for deep learning, high-performance computing (HPC), and large-scale data processing scenarios, providing exceptional parallel computing capabilities and ultimate energy efficiency.
Key Configuration Highlights
- Dual-Channel Top-Tier Computing Engine
Equipped with 2 Intel Xeon E5-2682v4 processors (16 cores, 32 threads, 2.5GHz-3.0GHz), providing 512 threads of super-strong parallel processing capabilities, meeting the demands of multi-tasking and intensive workloads.
- Four-Card GPU Computing Cluster
Integrated with 4 NVIDIA Tesla V100 16GB SXM2 computing cards (based on Volta architecture, 5120 CUDA cores + 640 Tensor cores), supporting PCIe 3.0 x16 high-speed interconnect, providing up to 224 TFLOPS deep learning performance, suitable for large-scale AI model training and inference.
Comes with 4 SXM2 to PCIe professional conversion cards, ensuring lossless bandwidth transmission between GPU and motherboard.
- Enterprise-Level Stable Architecture
Supermicro X10DRG-Q dual-channel server motherboard: supports 8-channel memory, multiple PCIe expansion slots, and hardware-level redundancy design, providing a reliable running foundation for critical businesses.
128GB Samsung DDR4 ECC memory (4 x 32GB 2400MHz): high-efficiency error correction capability ensures data integrity, handling massive datasets.
- Ultra-Fast Storage and Efficient Cooling
Great Wall GW3500 2TB NVMe SSD: PCIe 3.0 protocol sequential read and write speeds reach 3.5GB/s, accelerating model loading and result output.
Customized water cooling solution:
4 x aluminum alloy GPU water cooling heads + 2 x 360mm large-size radiators, precisely controlling V100 300W TDP heat, ensuring continuous full-load operation.
- Professional-Grade Power Supply and Expansion
Great Wall Dragon 2000W 80Plus Gold power supply: high-efficiency conversion rate (>90%) and multiple circuit protection, supporting four GPU peak power consumption.
Phanteks PK620 full-tower case: supports E-ATX motherboard, multiple radiator installations, and modular cable management, providing ample space for complex hardware.
Application Scenario Positioning
@ Artificial Intelligence: training and deploying large models with billions of parameters
@ Scientific Research: molecular dynamics simulation, climate modeling, gene sequencing
@ Engineering Computing: CAE fluid simulation, finite element analysis, rendering farm nodes
Quality Commitment
All components adopt industrial-grade standards (server-specific memory, power supply, and cooling schemes), verified through 72-hour stress testing to ensure system stability, providing customized operation and maintenance monitoring interfaces to help users focus on core business innovation.
Technical Note
SXM2 interface GPU is compatible with PCIe through conversion cards, providing flexible deployment schemes while preserving complete computing capabilities; water cooling system requires installation and debugging by certified engineers.
This configuration perfectly combines computing density, energy efficiency, and reliability, making it an ideal foundation for cutting-edge research institutions and enterprise technology teams.
