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Lenovo NVIDIA GB300 NVL72 | Server | AI Platform

Lenovo NVIDIA GB300 NVL72 | Server | AI Platform

SKU: Lenovo NVIDIA GB300 NVL72

Regular price $399,999.00 SGD
Regular price Sale price $399,999.00 SGD
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Product Description

Lenovo NVIDIA GB300 NVL72 AI Platform
72 NVIDIA Blackwell GPUs | NVIDIA Grace CPUs | Rack-Scale Enterprise AI Platform

The Lenovo NVIDIA GB300 NVL72 is a rack-scale AI platform engineered to accelerate large-scale AI training, inference, reasoning, and high-performance computing workloads. Built on the powerful NVIDIA Grace-Blackwell architecture, the system combines NVIDIA Grace CPUs and NVIDIA Blackwell GPUs with fifth-generation NVIDIA NVLink technology to create a unified AI infrastructure designed for enterprise-scale deployments.

Designed for modern AI factories and enterprise AI environments, the platform delivers massive GPU acceleration across a unified 72-GPU domain, making it ideal for large language models (LLMs), generative AI, agentic AI, vector databases, and advanced AI inference workloads. High-speed networking, extensive memory bandwidth, and rack-scale NVLink connectivity provide the performance required for demanding AI and HPC applications.

The Lenovo NVIDIA GB300 NVL72 features an advanced hybrid liquid-air cooling architecture that removes heat directly at the source, enabling exceptional compute density while maintaining predictable performance and energy efficiency. Warm-water operation further improves cooling efficiency and reduces operational costs, making it an ideal platform for next-generation data centers.

Key Features

  • NVIDIA Grace-Blackwell architecture optimized for enterprise AI and HPC
  • Unified 72-GPU rack-scale NVLink domain for large-scale AI workloads
  • 5th-generation NVIDIA NVLink technology for coherent CPU-GPU memory access
  • 72 NVIDIA Blackwell GPUs interconnected across the rack
  • 2 NVIDIA Grace CPUs and 4 NVIDIA Blackwell GPUs per compute tray
  • 18 compute trays within a 48U MGX rack architecture
  • 9 NVLink switch trays for rack-scale GPU interconnectivity
  • HBM3e GPU memory architecture optimized for AI training and inference
  • LPDDR5X CPU memory for high-bandwidth data processing
  • Integrated 800Gb/s CX8 networking for high-performance communications
  • Support for InfiniBand or Ethernet scale-out clustering
  • Hybrid liquid-air cooling with warm-water operation from 18°C to 45°C
  • Liquid cooling applied to CPUs, GPUs, voltage regulators, and NVLink modules
  • Up to 8 x 33kW power shelves with balanced 48V busbar distribution
  • NVIDIA OpenBMC-based systems management
  • Designed for LLM training, AI inference, vector databases, and agentic AI workloads
  • 3-Year Onsite Next Business Day Warranty

Specifications

  • Form Factor: 1U Grace-Blackwell Compute Tray
  • 18 Compute Trays in a 48U MGX Rack
  • 9 x 1U NVLink Switch Trays
  • 2 x NVIDIA Grace CPUs per Compute Tray
  • 4 x NVIDIA Blackwell GPUs per Compute Tray
  • 72 NVIDIA Blackwell GPUs per Rack
  • 5th-Generation NVIDIA NVLink Technology
  • HBM3e GPU Memory Architecture
  • High-Bandwidth LPDDR5X CPU Memory
  • Up to 8 x E1.S NVMe SSDs per Compute Tray
  • Integrated 800Gb/s CX8 Networking
  • Dual 25GbE LOM Connectivity
  • Rack-Scale NVLink Domain Across 72 GPUs
  • Support for High-Speed InfiniBand or Ethernet Scale-Out Clusters
  • Hybrid Liquid + Air Cooling System
  • Supports PG25 or Deionized Water Cooling
  • Warm Water Operation: 18°C to 45°C
  • Up to 8 x 33kW Power Shelves
  • Balanced 48V Busbar Power Distribution
  • Advanced Monitoring via Confluent and NVIDIA Tools
  • NVIDIA OpenBMC-Based Systems Management
  • Supported Operating System: Ubuntu 22.04 (HWE)
  • Standard Warranty: 3-Year Onsite Next Business Day Service
  • Optional Warranty: 5-Year Service Available

Ideal For

  • Large Language Model (LLM) Training
  • Generative AI Platforms
  • AI Reasoning and Agentic AI
  • Enterprise AI Infrastructure
  • AI Inference at Scale
  • Vector Databases
  • Deep Learning Workloads
  • High Performance Computing (HPC)
  • Scientific Computing and Simulations
  • Large-Scale AI Factories