Dell T440 New Server Dual CPU, SSD RAID 5, 32GB, SVR 2019 w/ 5 User CALs, 5 Year Warranty, Dual Power Supply, IDRAC Enterprise –
$14,400.00OS included 2019 SVR 2019 STD, 5 User CALs
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OS included 2019 SVR 2019 STD, 5 User CALs
0, 1, 10 – 2 X 1.20 Kw – Matrox G200 16 Mb Graphic Card – Weee, Eu Weee Compliance
2x Intel Xeon Silver 4314 2.4GHz 16-Core CPU (32 Cores Total)
HEWLETT PACKARD 732342-001 HPE PROLIANT DL560 Gen8 E5-4640v2 4P 128GB-R Hot Plug SFF 1200W RPS
2x 4110 8-Core 2.10GHz CPU (16 Cores Total)
HP Proliant DL360 G10 Plus 8-Bay SFF Server | 2x Silver 4309Y 2.8GHz 8-Core CPU (16-Cores Total)
2x Intel Xeon Silver 4310 2.1GHz 12-Core CPU (24 Cores Total)
2x Intel Xeon Silver 4314 2.4GHz 16-Core CPU (32 Cores Total)
Dual Xeon E5-2698 V4
The H100 NVL graphics card is designed to scale the support of large language models, such as GPT3-175B, in mainstream PCIe-based server systems, providing up to 12X the throughput performance of HGX A100 systems when configured with 8 units.
【5-Ports Expansion Card】Jorkar PCI-e to USB expansion card provides 5 external USB 3.2 Gen 2 Ports (2 USB A and 3 USB C) for your computer. (Only supports the transmission of data signals, not video signals, not Thunderbolt protocol, not monitor.)
1U 4-post vented rack-mount shelf fits EIA-310-compliant 19-inch server racks/cabinets; Adjustable mounting depth range of 6.4in (16.3cm); Usable mounting area of 17.1×27.5in (43.5x70cm) to support various equipment sizes
Power Supply Unit with Metal Tray 49P2155 11S49P2155 Compatible Replacement Spare Part for IBM Rs6000 Series Delta DPS-250HB 250W Server PSU
Ultra-compact yet powerful, featuring a sleek 14.7L footprint, exclusively designed for Mini-ITX motherboards.
Your AI Assistant】Achieve more, faster, across multiple applications with the centralized AI assistance of Copilot in Windows (in preview). Easily accessible with a single touch of the Copilot Key. With the Intel AI Boost NPU delivering up to 40TOPS, experience enhanced productivity like never before.
Designed to support up to 4 GPUs, it is perfect for handling intensive AI and machine learning tasks, ensuring high performance and scalability for advanced computational needs.
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