Factory Made Hot-Sale Vertical Server Mount - ThinkSystem SR670 Rack Server – Shengtang Jiaye

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Factory Made Hot-Sale Vertical Server Mount - ThinkSystem SR670 Rack Server – Shengtang Jiaye Detail:

Features

Accelerating AI workloads
The Lenovo ThinkSystem SR670 delivers optimal performance for Artificial Intelligence (AI) and high performance computing (HPC). Supporting up to either four large, or eight small GPUs per 2U node, it is suited for the computationally intensive workload requirements of both Machine Learning, Deep Learning, and Inference.

Built on the latest Intel® Xeon® processor Scalable family CPUs and designed to support high-end GPUs including NVIDIA Tesla V100 and T4, the ThinkSystem SR670 delivers optimized accelerated performance for AI and HPC workloads.

Maximum performance
As more workloads leverage the performance of accelerators, the demand for GPU density increases. Industries such as retail, financial services, energy, and healthcare are leveraging GPUs to extract greater insights and drive innovation utilizing ML, DL, and Inference techniques.

The ThinkSystem SR670 provides an optimized enterprise-grade solution for deploying accelerated HPC and AI workloads in production, maximizing system performance while maintaining data center density.

Solutions that scale
Whether you’re just starting with AI or moving into production, your solution must scale with your organization’s needs.

Working with Lenovo Intelligent Computing Orchestration (LiCO), Lenovo’s powerful cluster management platform for HPC and AI, the ThinkSystem SR670 can be used in a cluster with high-speed fabric to scale out as your demands increase. LiCO also provides workflows for both AI and HPC, and supports multiple AI frameworks, including TensorFlow, Caffe, allowing you to leverage a single cluster for diverse workload requirements.

Technical Specification

Form Factor Full-width 2U enclosure
Processors 2x second-generation Intel® Xeon® Scalable Processors (up to 205W) per node
Memory Up to 1.5TB using 24x 64GB 2933MHz TruDDR4 3DS RDIMMs per node
I/O Expansion Up to 3 PCIe adapters: 2x PCIe 3.0 x16 + 1x PCIe 3.0 x4 slots
Acceleration Up to 4 double-wide, full-height, full-length GPUs (each PCIe 3.0 x16 slots), or up to 8 single-wide, fullheight, half-length GPUs (each PCIe 3.0 x8 slots)
Management Network Interface 1x RJ-45 for dedicated 1GbE system management
Internal Storage Up to 8x 2.5″ hot-swap SSD or HDD SATA drives in rear baysUp to 2x non-hot-swap M.2 SSDs, 6Gbps SATA in internal bays

 

RAID Support SW RAID standard; optional HBA or HW RAID with flash cache
Power Management Rack-level power capping and management via Extreme Cloud Administration Toolkit (xCAT)
Systems Management Remote management using Lenovo XClarity Controller; 1Gb dedicated management NIC
OS Support Red Hat Enterprise Linux 7.5; Visit lenovopress.com/osig for more information.
Limited Warranty 3-year customer replaceable unit and onsite limited warranty, next business day 9×5, service upgrades available

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Product detail pictures:

Factory Made Hot-Sale Vertical Server Mount - ThinkSystem SR670 Rack Server – Shengtang Jiaye detail pictures

Factory Made Hot-Sale Vertical Server Mount - ThinkSystem SR670 Rack Server – Shengtang Jiaye detail pictures

Factory Made Hot-Sale Vertical Server Mount - ThinkSystem SR670 Rack Server – Shengtang Jiaye detail pictures

Factory Made Hot-Sale Vertical Server Mount - ThinkSystem SR670 Rack Server – Shengtang Jiaye detail pictures

Factory Made Hot-Sale Vertical Server Mount - ThinkSystem SR670 Rack Server – Shengtang Jiaye detail pictures

Factory Made Hot-Sale Vertical Server Mount - ThinkSystem SR670 Rack Server – Shengtang Jiaye detail pictures

Factory Made Hot-Sale Vertical Server Mount - ThinkSystem SR670 Rack Server – Shengtang Jiaye detail pictures

Factory Made Hot-Sale Vertical Server Mount - ThinkSystem SR670 Rack Server – Shengtang Jiaye detail pictures

Factory Made Hot-Sale Vertical Server Mount - ThinkSystem SR670 Rack Server – Shengtang Jiaye detail pictures


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    5 Stars By Erin from Liverpool - 2018.12.30 10:21