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HPC-R2280-U2-G8 2U Rackmount Enterprise GPU Computing System

The HPC-R2280-U2-G8 is the ultimate high-density high-performance compute GPU Rackmount server in the Workstation Specialist HPC line up. By combining the Intel Xeon Scalable Family processors with up to 8x professional AMD or NVIDIA GPU’s within a 2U space. This server has all the performance and assures all the stability demands of today’s GPU accelerated workflows.

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Price as configured (excl. VAT): £0.00



The HPC-R2280-U2-G8 is a highly powerful and compact rackmount High Performance Computing solution perfectly suited to the rigours of today’s GPU accelerated workflows. Integrating two of the very latest Intel® Xeon® Scalable Family enterprise grade processors (up to 56 Cores, 112 Threads) and up to 8x dual width GPU’s from NVIDIA or AMD. Fitting all this CPU and GPU processing capabilities into a 2U space makes this solution the most powerful and highly dense computing solution available today.

Fully certified to integrate 8 of the very latest NVIDIA Tesla GPU’s and compatible with NVIDIA GeForce GTX and AMD Radeon Instinct GPU's, the HPC-R2280-U2-G8 enables users to perform tasks and create new workflows that were impossible only a few years ago. Recent generations of high performance GPU’s have ushered in a new chapter in the world, enabling huge progress in Artificial Intelligence. By configuring this solutions with the NVIDIA Tesla V100 GPU based of the latest Volta architecture, users will be able to perform deep learning training algorithms or inference task in days when it once took weeks or months.

Scientists or financial analyists will be able to take full advantage of the GPU compute capabilities to accelerate simulations or analysis workflows, dramatically reducing compute times. Fully compatible with CUDA or OpenCL based applications and depending on software support these solutions can be 100% scalable enabling you to cluster these servers for even greater performance gains.

Do you wish your workforce could work with the performance of a dedicated tower workstation anytime, anywhere, remotely? Then NVIDIA GRID technology powered by NVIDIA Tesla GPU’s integrated into the HPC-R2280-U2-G8 could be just what you've been looking for. This setup will allow system administrators to create many virtualised machines that are fully GPU accelerated and compatible with major professional application from Autodesk, Dassault Systemes, PTC, Siemens etc… All an end user requires to access this high performance solution is a low powered computer or laptop and an internet connection. Contact our consultancy team for more details.

With compatibility for either 8x NVIDIA Quadro, 8x NVIDIA GeForce GTX or 8x AMD Radeon Pro WX series graphics cards the HPC-R2280-U2-G8 makes an exceptional network GPU render node. Experience near real-time photorealistic renders within NVIDIA Iray, NVIDIA Mental Ray, AMD ProRender, Otoy Octane, Redshift, Chaos Group VrayRT and many more… Speak to one of our consultancy team today who specialise in finding users the perfect configuration to keep your rendering times to a minimum and ensuring you get the maximum performance for your budget.

Socket: Dual Intel Socket P0 (LGA 3647)
Chipset: Intel C621
Supports: Intel® Xeon® Processor Scalable Family
Type: DDR4 6-Channel ECC Registered
Maximum Capacity: 1,536GB
Slots: 24
PCI Express:
PCIe 3.0 x16: 8 (Runs at x16) for GPU
PCIe 3.0 x16: 2 (Runs at x16) for Half-length low-profile slots
Slots Internal:
SAS/SATA: 8 SATA 6Gb/s (SAS card is required for SAS devices support)
USB 3.1 Gen-1: 1 Connectors
USB 2.0: 1 Connector
Remote Management: IPMB connector (Aspeed® AST2500 management controller)
TPM with SPI interface: 1 Header
Ports - Front:
Power button with LED: 1
ID button with LED: 2 Audio Jacks
LAN activity LEDs: 2
HDD activity LED: 1
System status LED: 1
Reset button: 1
Ports - Rear:
USB 3.1: 2 Gen-1 Type-A
Network: 2 RJ45 (10Gb/s BASE-T LAN ports)
VGA: 1
Power button with LED: 1
ID button with LED: 1
Reset button: 1
NMI button: 1
System status LED: 1

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HPC-R2280-U2-G8 2U Rackmount Enterprise GPU Computing System