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入门级 AI 平台

Prometheus AI 平台

经济高效的 AI 解决方案

Prometheus AI 服务器系列旨在以实惠的价格提供强大的 AI 功能,专为初创公司和小型企业量身定制。该服务器采用最新的英特尔 Xeon 处理器和英伟达 GPU,为 AI 开发和机器学习应用程序提供高效的解决方案。

除了高性能之外,Prometheus 系列还包括自定义选项,例如 PCIe 扩展卡、组件更改、BIOS 和服务器管理软件 (BMC) 修改等。

 

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Zeus 2U Front 02
可控的运营成本
兼容英伟达AI 的框架
英伟达认可的硬件
统包式 AI 部署

技术规格

Features

Advanced Processing Power 

Equipped with Intel Xeon 5th Generation Scalable processors, ensuring high-performance computing for various applications

Memory capacity

Starting at 512GB, expandable to 2TB, caters to memory-intensive tasks 

AI-Ready configuration 

Includes 2 NVIDIA L4 GPUs, specifically designed to accelerate AI workloads

NVIDIA AI Framework compatibility

Fully supports the NVIDIA AI framework, providing a comprehensive platform for AI development and deployment

NVIDIA approved hardware 

This server is certified for AI use and supported by NVIDIA, guaranteeing reliable and efficient AI operations.

Turnkey AI deployment

Pre-installed OS, NVIDIA AI framework libraries, and pre-configured applications upon request, offering ready-to-use solutions

 

Technical specification

Form factor 1U rack server
Processor 
2x Intel 6530
Memory 
512GB 5600MT/s
GPU 
2x L4 NVIDIA GPU
Storage  4x 2TB NVMe PCIe Gen.4 
Networking 
Infiniband EDR 1x 100GB
Benefits
  • Scalability:  Easily scales to meet the demands of growing AI and data processing needs
  • Efficiency: Optimized for power and cooling efficiency, reducing operational costs
  • Versatility: Suitable for a wide range of applications, from AI to data analytics and more
  • Cloud vendor independence: Maintain flexibility and independence from cloud providers
  • Predictable costs: Gain control over fixed costs for GPU computing, ensuring budget stability
  • Centralized management: Prodrive’s centralized management platform facilitates efficient server operations and optimizes capacity usage
Applications

AI development

Supports the entire AI development lifecycle, from model training to deployment, with robust processing power and GPU acceleration

Machine learning applications

Ideal for machine learning tasks, offering high-performance computing resources to manage complex algorithms and large datasets

Data analytics

Provides the computational power necessary for intensive data analysis, enabling faster insights and decision-making

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