PRO RENDER GPGPU calculation server

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RTX SERVER NVIDIA APY 8 CARDS Quadro RTX™ 8000

From high-end, interactivity local workflows to end-to-end data center rendering, the NVIDIA RTX Server with 8 Quadro RTX 8000 cards is the industry's most efficient and complete rendering solution. Equipped with NVIDIA Quadro RTX ™ GPUs to accelerate industry-leading rendering applications based on the CUDA-X graphics environment, the NVIDIA RTX server is a validated solution that delivers unprecedented rendering and computing performance with significant reduction in operating costs, footprint, and power consumption compared to traditional CPU rendering farms. You can produce content of the highest quality faster than ever before.

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RENDERFARM SERVER GPGPU APY RDR ZX² G4 - INTEL BI XEON SCALABLE



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2U APY with GPU 3 Render farm EPYC Processor
From €16,570.00 Tax excluded
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APY

 

APY 2U GPU Render farm
  •   2 bi Processors AMD EPYC v2 7302 processor, 16/32 cores, 3.0/3.3Ghz - 128MB cache - TDP 155W
  •   128GB DDR4 3200MHz ECC REG
  •   2 M.2 1TB SSDs
  • Microsoft Windows 11 Pro
  • Graphics card option: 3x A10, 3x A16, 3x A30
 
 
ATTENTION: SPECIAL PRICE VALID ONLY FOR EDUC / RESEARCH AND UNTIL December 31, 2022
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APY SERVER HGX 4U multi GPU Nvidia A100 640GB

APY EUROPE

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APY

- Up to 8 Nvidia A100 cards

- 2x EPYC 7763 2x 64/128 cores at 2.45/3.5 GHz

- 2 TB of memory - 2x NVMe U.2 Gen 4 of 1.92 TB for the operating system ( UBUNTU Linux)

- 4x NVMe U.2 Gen 4 of 7.68 TB for data

- 2 network ports 10 Gb/s RJ45

- Optional: 25 Gb/s, 40 Gb/s or 100Gb/s

NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale to power the world’s highest-performing elastic data centers for AI, data analytics, and HPC. Powered by the NVIDIA Ampere Architecture, A100 is the engine of the NVIDIA data center platform. A100 provides up to 20X higher performance over the prior generation and can be partitioned into seven GPU instances to dynamically adjust to shifting demands. The A100 80GB debuts the world’s fastest memory bandwidth at over 2 terabytes per second (TB/s) to run the largest models and datasets.

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