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Lenovo ThinkSystem SR680a Rack Server

SKU: ThinkSystem SR680a

  • $8,176.96
    Unit price per 
Shipping calculated at checkout.

PRODUCT DESCRIPTION

Lenovo ThinkSystem SR680a Rack Server (Advance CTO, Please Enquire for Further Information) - Local Warranty

Enterprise GPU Server for AI and Accelerated Computing

Lenovo ThinkSystem SR680a Rack Server is a high-performance enterprise server platform engineered for artificial intelligence, machine learning, high-performance computing (HPC), simulation, and GPU-accelerated workloads. Designed for modern AI infrastructure and data center environments, the SR680a delivers powerful compute performance for organizations handling demanding workloads.

Optimized for AI, Deep Learning and HPC Workloads

The Lenovo ThinkSystem SR680a supports advanced applications including AI model training, large language models (LLMs), generative AI, machine learning, rendering, scientific simulations, analytics, and accelerated computing tasks. Its architecture is built to handle intensive workloads requiring high compute density and GPU acceleration.

Flexible Configure-To-Order Infrastructure Platform

As an Advance CTO (Configure-To-Order) solution, the Lenovo ThinkSystem SR680a Rack Server supports customization across processors, GPU accelerators, memory, storage, networking, and expansion options. Organizations can build infrastructure tailored for AI clusters, HPC deployments, analytics environments, and virtualization workloads.

Built for Modern Data Centers and AI Deployments

Designed for enterprises, research institutions, AI labs, universities, and service providers, the ThinkSystem SR680a provides scalable infrastructure for accelerated computing environments. Its rack-mounted architecture supports efficient deployment while maintaining enterprise-grade reliability and operational efficiency.

Technical Specifications

General
Model: ThinkSystem SR680a V3
Product Name: Lenovo ThinkSystem SR680a Rack Server
Server Type: GPU Optimized Rack Server
Form Factor: 8U Rack Server
Deployment: AI, Machine Learning, Deep Learning, HPC, Generative AI, Data Analytics
Configuration Type: Advanced CTO (Configure-To-Order)
Processor Platform: Intel® Xeon® Scalable Processors (4th Gen / 5th Gen Support depending on configuration)
Architecture: Enterprise Accelerated Computing Platform
Target Workloads: AI Training, AI Inferencing, LLM, HPC Simulation, VDI, Rendering, Scientific Research

Processor Specifications
Processor Support: Up to 2 x Intel Xeon Scalable Processors
Supported Generation: 4th Gen / 5th Gen Intel Xeon Scalable
Maximum CPU Cores: Up to 64 Cores per Processor (generation dependent)
Maximum Total Cores: Up to 128 Cores
Processor Socket: LGA4677
Maximum TDP Support: Up to 350W per CPU

GPU Acceleration Support
GPU Support: Up to 8 x Double Width GPUs
Supported Accelerator Options:
• NVIDIA H100 Tensor Core GPU
• NVIDIA H200 GPU
• NVIDIA L40S GPU
• NVIDIA RTX Enterprise GPUs
• High Performance AI Accelerators

GPU Interconnect: High-bandwidth accelerator architecture
AI Optimization: Supported
Generative AI Workloads: Supported
Large Language Models (LLM): Supported

Memory Specifications
Memory Technology: DDR5 ECC RDIMM
DIMM Slots: Up to 32 Slots
Maximum Memory Capacity: Up to 8TB
Memory Speed: Up to 5600 MT/s (processor dependent)
Memory Protection: ECC Supported

Storage Specifications
Storage Type Support:
• NVMe SSD
• SAS SSD
• SATA SSD
• HDD

Drive Configuration: CTO Configurable
Hot Swap Drives: Supported
RAID Support: Supported

Expansion & PCIe
PCIe Generation: PCIe Gen5
Expansion Support: Multiple PCIe Gen5 Slots
GPU Expansion: High-density accelerator configuration
Network Expansion: OCP / PCIe Networking Modules Supported

Networking
Network Interface: CTO Dependent
Supported Network Options:
• Ethernet Adapters
• High-Speed AI Networking
• InfiniBand Adapters
• OCP Network Modules

Remote Management: Lenovo XClarity Controller 2 (XCC2)
Out-of-Band Management: Supported

Cooling & Thermal Design
Cooling Type: Enterprise High Performance Air Cooling
Thermal Architecture: GPU Optimized Cooling Design
Redundant Cooling: Supported
High Density Compute Optimization: Supported

Power Specifications
Power Supply Type: Redundant Hot-Swap Power Supplies
Power Redundancy: Supported
Power Efficiency: 80 PLUS Platinum / Titanium (configuration dependent)

Management & Security
Management Platform: Lenovo XClarity Controller 2 (XCC2)
Remote Server Monitoring: Supported
Firmware Management: Supported
Health Monitoring: Supported
Secure Boot: Supported
TPM Security: Supported
Encryption Support: Supported

Virtualization Support
Supported Platforms:
• VMware vSphere
• Microsoft Hyper-V
• Red Hat Virtualization
• Linux KVM

Cloud Platforms: Supported
Container Deployment: Kubernetes Ready

Operating System Compatibility
Supported Operating Systems:
• Microsoft Windows Server
• Red Hat Enterprise Linux
• Ubuntu Server
• SUSE Linux Enterprise Server
• VMware ESXi

Design & Construction
Form Factor: 8U Rack Mount
Rack Compatibility: Standard Enterprise Rack
Deployment Environment: Data Center / AI Cluster / HPC Infrastructure
Construction: Enterprise Grade Chassis

Performance & Features
Designed for accelerated AI computing environments
Supports up to eight enterprise GPUs
Optimized for LLM and generative AI workloads
PCIe Gen5 architecture for high-speed expansion
Large DDR5 memory footprint for AI datasets
GPU dense architecture for HPC environments
Enterprise remote monitoring and lifecycle management
Scalable AI infrastructure platform

Package Contents
Lenovo ThinkSystem SR680a Rack Server Chassis
Power Supply Units (configuration dependent)
Rail Kit (optional)
Documentation
CTO Components according to final configuration

Key Features
8U AI optimized enterprise server
Supports up to 8 GPUs
Intel Xeon Scalable processor platform
DDR5 ECC memory support
PCIe Gen5 architecture
Enterprise remote management
AI and HPC ready deployment
Advanced CTO configuration support

Typical Use Cases
Generative AI deployment
Large Language Models (LLM)
AI training clusters
Machine learning inference
Scientific simulations
HPC environments
Virtual desktop infrastructure
Enterprise virtualization
Research computing environments

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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