Dell PowerEdge R960 Server DeepSeek - 4U AI Deep Learning GPU Server, doppio Xeon Platinum 8460H, 1TB DDR5, 6x 3,84 TB SSD SSD, raffreddamento liquido, PSU ridondante da 1400 W
  • Categorie di prodotto:Server
  • Numero parte:R960
  • Disponibilità:In Stock
  • Condizione:Nuovo di zecca
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  • Ordine minimo:1 unità
  • Prezzo di listino era:$29,999.00
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Title
DELL PowerEdge R960 DeepSeek Server – 4U AI Deep Learning GPU Server, Dual Xeon Platinum 8460H, 1TB DDR5, 6x 3.84TB SAS SSD, Liquid Cooling, 1400W Redundant PSU

Keywords
DELL PowerEdge R960, DeepSeek server, DeepSeek AI server, DeepSeed server, AI GPU server, Xeon Platinum 8460H, 1TB DDR5 RAM, PCIe Gen5 expansion, deep learning server, high-performance computing, SAS SSD storage, enterprise AI server

Description
The DELL PowerEdge R960 DeepSeek Server, also known as the DeepSeed AI GPU server, is a cutting-edge 4U rack server engineered for AI computing, deep learning, and high-performance enterprise workloads. Designed for maximum processing efficiency, this system features a chassis supporting up to 24 drives (8x 2.5” SAS/SATA + 16x E3.S 3.5” NVMe Gen5), delivering exceptional storage scalability and ultra-fast data processing.

Powered by dual Intel Xeon Platinum 8460H processors, each with 40 cores and 80 threads, this DeepSeek AI server ensures exceptional parallel computing power for AI model training and cloud computing applications. With 1TB of DDR5 4800MT/s memory, this system supports high-bandwidth data operations, ideal for machine learning and deep learning frameworks.

The 6x 3.84TB SAS SSDs (24Gbps) provide high-speed, low-latency storage, while 2x 800GB SAS Mixed-Use SSDs enhance endurance for high-transaction workloads. The PERC11 RAID controller ensures data security and performance optimization. Additionally, liquid cooling technology keeps the system operating at peak efficiency, while quad 1400W fully redundant power supplies deliver unmatched reliability for mission-critical applications.

Configuration
Chassis: DELL PowerEdge R960 4U, up to 24 drives (8x 2.5” SAS/SATA + 16x E3.5” NVMe Gen5)
Processors: 2x Intel Xeon Platinum 8460H (40 cores, 80 threads, 2.2GHz, 105MB Cache, Turbo, HT, 330W, DDR5-4800)
Memory: 16x 64GB RDIMM DDR5 4800MT/s Dual Rank (Total: 1TB)
Storage:
6x 3.84TB SAS SSDs (24Gbps, 512e, 1DWPD, 2.5” Hot-Plug)
2x 800GB SAS Mixed-Use SSDs (24Gbps, FIPS-140, 3DWPD, 2.5” Hot-Plug)
RAID Controller: PERC11 RAID
PCIe Expansion: Riser Config 0 – Half Length, 4x16 FH Slots (PCIe Gen5), 4CPU
Networking:
3x Broadcom 57416 Dual-Port 10GbE PCIe Adapters (Full Height)
1x Broadcom 57416 Dual-Port 10GbE BASE-T Adapter (OCP NIC 3.0)
Cooling System: Liquid Cooling
Power Supply: Quad 1400W Hot-Plug Fully Redundant PSU (2+2)
Usage
What makes the PowerEdge R960 DeepSeek Server ideal for AI and Deep Learning?
The DeepSeek server, also known as DeepSeed AI GPU server, is built with high-core count Xeon Platinum processors, high-speed DDR5 RAM, and PCIe Gen5 expandability, making it perfect for AI model training, machine learning, and high-performance computing tasks.

Can this server support GPUs for AI acceleration?
Yes, the PCIe Gen5 slots allow for future GPU integration, enabling deep learning acceleration, real-time data analytics, and AI computing.

How does liquid cooling enhance server performance?
Liquid cooling technology ensures efficient thermal dissipation, reducing CPU overheating and maximizing performance stability under heavy AI workloads.

Is the R960 DeepSeek server suitable for enterprise and data center deployments?
Absolutely. With redundant power supplies, enterprise-grade storage, and high-speed networking, the DeepSeed AI server ensures high availability, scalability, and uninterrupted operations in data-intensive environments.

Summary
The DELL PowerEdge R960 DeepSeek Server is a high-performance AI and deep learning solution, designed for data centers, machine learning, and enterprise-level AI computing. With powerful processing, fast storage, and liquid cooling, this DeepSeed AI server is optimized for maximizing AI training efficiency and large-scale data workloads.
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