Lenovo ThinkSystem SR780a GPU Server

Lenovo ThinkSystem SR780a GPU Server (Advance CTO, Please Enquire for Further Information) - Local Warranty

Accelerated GPU Server for AI and High-Performance Computing

Lenovo ThinkSystem SR780a GPU Server is an enterprise-class accelerated computing platform designed for artificial intelligence, machine learning, high-performance computing (HPC), simulation, and GPU-intensive workloads. Built for modern AI infrastructure and enterprise data centers, the SR780a delivers high compute density and scalable performance for advanced applications.

Optimized for AI, LLM and Accelerated Workloads

The Lenovo ThinkSystem SR780a GPU Server supports demanding applications including AI model training, generative AI, large language models (LLMs), deep learning, rendering, scientific simulations, analytics, and advanced compute workloads. Its GPU-ready architecture enables organizations to accelerate AI initiatives and data processing requirements efficiently.

Flexible Configure-To-Order Infrastructure Platform

As an Advance CTO (Configure-To-Order) solution, the Lenovo ThinkSystem SR780a GPU Server supports customizable configurations including processors, GPU accelerators, memory, storage, networking, and expansion options. Organizations can tailor infrastructure based on AI clusters, HPC environments, analytics platforms, and enterprise computing requirements.

Built for AI Infrastructure and Enterprise Data Centers

Designed for enterprises, AI labs, research institutions, universities, and service providers, the ThinkSystem SR780a GPU Server provides scalable infrastructure for accelerated computing environments. Its rack-mounted design supports efficient deployment while delivering enterprise-grade reliability and operational efficiency.

Technical Specifications

General
Model: ThinkSystem SR780a V3
Product Name: Lenovo ThinkSystem SR780a GPU Server
Server Type: GPU Accelerated AI Server
Form Factor: 5U Rack Server
Deployment: Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, HPC, Large Language Models (LLM), Generative AI
Configuration Type: Advanced CTO (Configure-To-Order)
Processor Platform: Intel® Xeon® Scalable Processors
Architecture: Enterprise Accelerated Computing Platform
Target Workloads: AI Training, AI Inferencing, Scientific Computing, LLM Training, Data Analytics, HPC Simulation

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 Processor TDP: Up to 350W per CPU

GPU Acceleration Specifications
GPU Support: Up to 8 x Double Width GPUs
GPU Architecture: High Density Accelerator Platform

Supported GPU Options:
• NVIDIA H100 Tensor Core GPU
• NVIDIA H200 Tensor Core GPU
• NVIDIA L40S GPU
• NVIDIA RTX Enterprise GPUs
• AI and HPC Accelerators

GPU Deployment Support:
• AI Model Training
• Large Language Models (LLM)
• Deep Learning
• Scientific Simulation
• Generative AI
• Inferencing Workloads

GPU Interconnect: High Bandwidth Accelerator Architecture
AI Optimization: Supported
Accelerated Computing: 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 Architecture: CTO Configurable
Supported Storage Types:
• NVMe SSD
• SAS SSD
• SATA SSD
• HDD

Hot Swap Drive Support: Supported
RAID Support: Supported
Internal Storage Configuration: Flexible enterprise storage deployment

Expansion & PCIe
PCIe Generation: PCIe Gen5
Expansion Support: Multiple PCIe Gen5 Slots
GPU Expansion: High Density GPU Architecture
Networking Expansion: OCP / PCIe Modules Supported

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

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

Cooling & Thermal Design
Cooling Type: High Performance Enterprise Cooling
Thermal Architecture: GPU Optimized Cooling System
High Density Compute Support: Supported
Redundant Cooling: 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 Updates: Supported
Server Health Monitoring: Supported
Secure Boot: Supported
TPM Security: Supported
Encryption Support: Supported

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

Container Platforms: Kubernetes Ready
Cloud Deployment: Supported

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: 5U Rack Mount
Rack Compatibility: Standard Enterprise Rack
Deployment Environment: AI Infrastructure / Data Center / HPC Environment
Construction: Enterprise Grade Server Chassis

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

Package Contents
Lenovo ThinkSystem SR780a GPU Server Chassis
Power Supply Units (configuration dependent)
Rail Kit (optional)
Documentation
CTO Components according to final build

Key Features
GPU accelerated AI server platform
Supports up to 8 enterprise GPUs
Intel Xeon Scalable processors
DDR5 ECC memory architecture
PCIe Gen5 expansion support
AI and HPC optimized design
Enterprise remote management
Advanced CTO configurable deployment

Typical Use Cases
AI model training
Generative AI infrastructure
Large Language Models (LLM)
Machine learning inference
Scientific simulations
High Performance Computing (HPC)
Research environments
Enterprise AI deployment
Data analytics workloads

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?