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AlJammaz Technologies
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Designed for Your Enterprise, ThinkSystem SR675 V3 from Lenovo

25/12/2022

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Lenovo ThinkSystem SR675 V3 delivers optimal performance for Artificial Intelligence (AI), High Performance Computing (HPC) and graphical workloads across an array of industries. Retail, manufacturing, financial services, and healthcare industries are leveraging GPUs to extract greater insights and drive innovation utilizing machine learning (ML) and deep learning (DL). Here are a few ways accelerated computing leverages GPUs in different organizations: ​
  • Computer vision for retail customer experience. 
  • Natural language processing (NLP) for call centers. 
  • Large-scale Omniverse™ digital twins. 
  • In-silico trials and immunology in Life Sciences. 
  • Ray-traced rendering for photo-realistic graphics. 
  • Remote visualization for work-from-home teams. 
  • Powerful video encoding and decoding. 
  • Automatic optical inspection (AOI) for quality control. 

Every Scale Platform means: Versatility ​

The SR675 V3 features a modular design for ultimate flexibility. With multiple different front compartment options, configurations include: 

  • One or two 4th Generation AMD EPYC™ Processors. 
  • Up to eight double-width GPUs with NVLink Bridge. 
  • NVIDIA HGX™ H100 4-GPU with NVLink and Lenovo. 
  • Neptune™ hybrid liquid cooling performance. 
  • AMD Instinct™ MI Series Accelerators. 
  • Choice of front or rear high-speed networking Choice of local high speed 2.5 SAS/SATA/NVMe storage. 
The ThinkSystem SR675 V3 is built on one or two 4th Generation AMD EPYC™ Processors and is designed to support the vast NVIDIA Hopper, Lovelace and Ampere datacenter portfolio and AMD Instinct™ MI Series Accelerators. The ThinkSystem SR675 V3 delivers performance optimized for your workload, be it visualization, rendering or computationally intensive HPC and AI workloads in production, maximizing system performance. 

For more information Contact AlJammaz Technologies or download the Datasheet:

01-thinksystem_sr675_v3_datasheet.pdf
File Size: 249 kb
File Type: pdf
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