Mejor precio Huawei Fusionserver G5500 V5 4U2CH Servidor GPU con soporte de CPU dual y 8 tarjetas de cómputo de GPU
  • Categorías de productos:Servidores
  • Número de parte:G5500V5
  • Disponibilidad:In Stock
  • Condición:Nuevo
  • Características del producto:Listo para enviar
  • Pedido mínimo:1 unidad
  • Precio de lista era:$10,512.00
  • Su Precio: $8,000.00 Ahorra $2,512.00
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Best Price Huawei FusionServer G5500 V5 4U2CH GPU Server with Dual CPU Support and 8 GPU Compute Cards

Description: The Huawei FusionServer G5500 V5 is a powerful 4U dual-channel (2CH) GPU server designed for high-performance computing (HPC), artificial intelligence (AI), and deep learning applications. With support for two CPUs and up to 8 GPU compute cards, this server delivers outstanding processing power for intensive workloads. Ideal for data centers, AI research, and machine learning, it offers flexibility, efficiency, and robust computing capabilities.

Equipped with a scalable architecture, the FusionServer G5500 V5 ensures efficient resource utilization, allowing seamless upgrades for evolving business needs. The server also features advanced cooling technologies to maintain optimal performance during extended usage.

Key Features:

Dual CPU support for maximum processing performance
Up to 8 GPU compute cards for enhanced parallel computing capabilities
4U rack-mountable design for high-density server environments
Ideal for AI, machine learning, HPC, and deep learning workloads
Scalable architecture supporting future expansion and upgrades
Efficient cooling system for consistent performance under heavy workloads
Relevant Keywords: Huawei FusionServer G5500 V5, GPU server, high-performance computing, 4U server, dual CPU support, AI server, machine learning server, deep learning server, 8 GPU server, data center server, GPU compute cards, enterprise GPU server

Ideal for:

Organizations in need of a server for AI, machine learning, HPC, and data analytics
Data centers and enterprises requiring scalable, high-performance GPU servers for intensive computational tasks
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