Lenovo ThinkSystem SR780a V3

Brand: Lenovo | Category: Servers

SKU: LEN-SR780A-V3 | Part #: SR780A-V3 | MPN: SR780A-V3

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The Lenovo ThinkSystem SR780a V3 (Part Number SR780A-V3) is a 4U liquid-cooled server purpose-built for GPU-accelerated AI training and high-performance computing environments. Designed for data centre operators and enterprises deploying next-generation AI infrastructure, this system combines Intel Xeon processor architecture with support for up to 8x NVIDIA HGX B200 GPUs—each rated at 1000W—to deliver the computational density and thermal efficiency required for large-scale model training, transformer-based workloads, and complex scientific simulations. The integrated liquid-cooling subsystem enables exceptional power density in a compact form factor, reducing physical footprint and operational cooling costs compared to air-cooled alternatives. With a 1000W primary power supply and engineering optimised for sustained high-wattage GPU operation, the SR780a V3 is engineered for organisations that demand maximum performance per rack unit without compromise on reliability or manageability.

Key Features

• GPU Acceleration: Support for 8x NVIDIA HGX B200 GPUs at 1000W each, enabling massive parallel compute for AI model training and inference at scale
• Processor Architecture: Intel Xeon processor family, delivering high core counts and clock speeds for CPU-GPU workload orchestration and data pipeline management
• Liquid-Cooled Design: Integrated liquid cooling system optimised for high-density deployments, reducing ambient air conditioning demand and enabling tighter rack spacing
• Form Factor: 4U rackmount chassis, balancing compute density with standard data centre rack compatibility and cabling accessibility
• Power Supply: 1000W PSU rated for sustained operation with multiple high-wattage accelerators, with redundancy options for mission-critical environments
• Memory Capacity: Support for high-capacity DRAM configurations to match GPU memory bandwidth and training workload requirements
• Enterprise Reliability: ThinkSystem platform heritage includes modular components, remote management via Lenovo XClarity, and validated driver/firmware support across NVIDIA ecosystems
• 2026 Architecture: Latest-generation design incorporating current-generation Xeon and HGX B200 technology, ensuring compatibility with emerging AI frameworks and software stacks

Typical Use Cases

• Large Language Model Training: Multi-node clusters of SR780a V3 systems for pre-training and fine-tuning transformer models, with liquid cooling enabling sustained throughput across 24/7 training runs
• Distributed AI Research: Academic and commercial AI labs requiring GPU-dense, power-efficient platforms for computer vision, NLP, and reinforcement learning experiments at scale
• Hyperscale Data Centre Expansion: Cloud service providers and content delivery networks deploying GPU compute capacity with minimal footprint and electrical overhead in existing facilities
• High-Performance Computing (HPC) Simulation: Engineering, materials science, and financial modelling workloads leveraging GPU acceleration for molecular dynamics, finite element analysis, and monte-carlo simulations
• Inference Serving at Scale: Real-time inference platforms for generative AI services, chatbots, and recommendation engines requiring low-latency, high-throughput GPU compute with container orchestration (Kubernetes, Docker)
• Regulated Enterprise AI: On-premises AI infrastructure for financial services, healthcare, and government sectors requiring local compute control, data sovereignty, and auditable hardware configurations

The SR780a V3 stands apart through its combination of liquid-cooled efficiency and maximum GPU density—critical advantages for organisations operating under strict power budgets or space constraints in modern data centres. Omnixon Global stocks and sources Lenovo ThinkSystem servers across the UAE, GCC, and Asia-Pacific regions. To discuss configuration options, licensing models, and deployment timelines for your organisation, contact our sales team to request a quote.