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Lenovo ThinkSystem SR670 Rack Server

SKU: ThinkSystem SR670

  • $5,416.96
    Unit price per 
Shipping calculated at checkout.

PRODUCT DESCRIPTION

Lenovo ThinkSystem SR670 Rack Server (Advance CTO, Please Enquire for Further Information) - Local Warranty

High-Performance GPU Server for AI and HPC Workloads

Lenovo ThinkSystem SR670 Rack Server is an enterprise-grade accelerated computing platform designed for artificial intelligence, machine learning, high-performance computing (HPC), virtualization, and data analytics workloads. Built for modern data centers, the SR670 delivers powerful GPU acceleration capabilities for organizations requiring advanced compute performance.

Optimized for AI, Machine Learning and Accelerated Computing

The Lenovo ThinkSystem SR670 supports demanding workloads including AI model training, generative AI, deep learning, simulation, rendering, analytics, and GPU-intensive applications. Its architecture enables organizations to deploy accelerated infrastructure for advanced computational requirements while improving processing efficiency.

Flexible Configure-To-Order Platform for Enterprise Deployment

As an Advance CTO (Configure-To-Order) solution, the Lenovo ThinkSystem SR670 Rack Server offers customizable options for processors, GPUs, memory, storage, networking, and expansion configurations. Businesses can tailor deployments according to AI infrastructure, HPC clusters, virtualization environments, and analytics workloads.

Built for Modern Data Centers and AI Infrastructure

Designed for enterprises, research institutions, AI labs, universities, and service providers, the ThinkSystem SR670 provides scalable infrastructure for accelerated computing environments. Its rack-mounted design supports efficient deployment while delivering enterprise-grade reliability and manageability.

Technical Specifications

General
Model: Lenovo ThinkSystem SR670
Product Name: Lenovo ThinkSystem SR670 Rack Server (Advance CTO, Please Enquire for Further Information)
Product Type: Enterprise GPU Rack Server / AI Server
Form Factor: 3U Rack Server
Server Type: Configure-To-Order (CTO) Platform
Deployment: AI, Machine Learning, HPC, VDI, Deep Learning, Analytics, Enterprise Datacenter
Usage Mode: GPU-optimized platform designed for AI training, inference and accelerated workloads (lenovopress.lenovo.com)

Processor Specifications
Processor Support: Up to 2 × Intel Xeon Scalable Processors

Supported CPU Families:
• Intel Xeon Scalable 1st Generation
• Intel Xeon Scalable 2nd Generation

Maximum CPU Cores: Up to 28 Cores per Processor
Maximum Configuration: Up to 56 Total Cores
Processor Socket: LGA3647
Maximum Processor TDP: Up to 205W
UPI Speed: Up to 10.4 GT/s
Maximum Cache: Up to 38.5 MB per Processor (lenovopress.lenovo.com)

Chipset Specifications
Chipset: Intel C624 Platform Controller Hub
Architecture: Intel Enterprise Platform (lenovopress.lenovo.com)

Memory Specifications
Memory Slots: 24 × DDR4 DIMM Slots
DIMMs Per Processor: 12 DIMMs
Memory Channels: 6 Channels per Processor

Memory Type Support:
• RDIMM
• LRDIMM
• 3DS RDIMM
• Intel Optane DC Persistent Memory

Memory Speed: Up to 2933 MHz

Maximum Memory Capacity:
• Up to 3TB using RDIMM / LRDIMM
• Up to 6TB using Intel Optane Persistent Memory
• Up to 7.5TB in App Direct Mode (lenovopress.lenovo.com)

GPU & Accelerator Specifications
GPU Support: Up to 8 × Double Width GPUs

Supported GPU Types:
• NVIDIA Tesla Series
• NVIDIA A100 Tensor Core GPU
• NVIDIA V100 Tensor Core GPU
• NVIDIA RTX GPU Series
• NVIDIA T4 GPU

GPU Form Factor: SXM / PCIe (configuration dependent)
NVLink Support: Supported
GPU Power Optimization: Supported
AI Acceleration: Supported (lenovopress.lenovo.com)

Storage Specifications

Drive Bay Configurations:
• Up to 8 × 2.5-inch Hot Swap Drives
• NVMe Configurations Supported
• Internal Boot Drive Options Supported

Storage Media Support:
• SAS HDD
• SATA HDD
• SAS SSD
• SATA SSD
• NVMe SSD

Boot Device Options:
• M.2 Modules
• Internal RAID Boot Devices (lenovopress.lenovo.com)

Expansion & Networking
PCIe Expansion Slots: Up to 9 × PCIe 3.0 Slots

Networking Options:
• OCP Adapter Support
• PCIe Network Cards
• High Speed Fabric Adapters

Ethernet Support:
• 1GbE
• 10GbE
• 25GbE
• 100GbE

Management Port:
• Dedicated RJ-45 XClarity Management Port (lenovopress.lenovo.com)

Ports & Interfaces

Front I/O:
• 1 × USB 3.0
• VGA Port Support

Rear I/O:
• 2 × USB 3.0
• VGA Port
• Dedicated Management Port
• Optional Serial Port (lenovopress.lenovo.com)

Management Features
Management Controller: Lenovo XClarity Controller (XCC)
Remote Management: Supported
Remote KVM: Supported
Firmware Updates: Supported
Predictive Failure Analysis: Supported
Power Monitoring: Supported
REST API Automation: Supported (lenovopress.lenovo.com)

Power Specifications
Power Supply Type: Redundant Hot Swap PSU

Supported PSU Ratings:
• 1100W Platinum
• 1600W Platinum
• 2000W Platinum

Power Redundancy: Supported
Hot Swap PSU: Supported (lenovopress.lenovo.com)

Operating System Support
Supported Operating Systems:
• Microsoft Windows Server
• VMware ESXi
• Red Hat Enterprise Linux
• SUSE Linux Enterprise Server
• Ubuntu Server (lenovopress.lenovo.com)

Physical Specifications
Form Factor: 3U Rack Mount
Height: 130 mm
Width: 482 mm
Depth: 880 mm
Weight: Configuration dependent (lenovopress.lenovo.com)

AI & Performance Features
Supports up to 8 GPUs
Deep learning optimized
AI model training capable
GPU virtualization support
HPC ready platform
Large memory scalability
NVLink acceleration support
Enterprise AI deployment ready (lenovopress.lenovo.com)

Package Contents
Lenovo ThinkSystem SR670 Chassis
Rails Kit (CTO dependent)
Power Supplies (CTO dependent)
Documentation
Warranty Information

Key Features
3U GPU server design
Dual Intel Xeon support
Up to 56 CPU cores
Up to 8 GPU support
Up to 7.5TB memory capacity
AI / ML optimized platform
Lenovo XClarity management
Enterprise CTO platform

Typical Use Cases
AI model training
Deep learning workloads
Machine learning inference
GPU virtualization
VDI environments
HPC clusters
Scientific computing
Enterprise AI infrastructure

How to Configurate Server?

Step 1:
What is the Server Form Factor? Tower or Rackmount Server?
What is the number of CPU Core or Ram or HDD usable size require?
What is the number of CPU Processor? 1S or 2S or 4S?
What is the RAID Configuration? Any specific HDD or SSD? 7.2K or 10K?
What is the specific NIC is required? Base-T 1G or SFP+? Or Fibre Channel?
What is the number of year maintenance support required? Minimum 3 years

Step 2:
How many number of unit Server?
Any VM workload? Required any VMware license? Or Window OS Hyper-V?
How do you store data currently? Any NAS or SAN Storage?
How do you doing the backup? Required any backup proposal? IDPA 8TB?
Do you require burn-in test services?
Do you need hard disk retention services?

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