NVIDIA DGX GB300

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DGX GB300
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EAN: 19390
Condition: new
Stock: available on order
Lead time: 25-35 days

The NVIDIA DGX GB300 is a rack-scale AI supercomputer designed for enterprise-scale AI workloads. It integrates 72 NVIDIA Blackwell Ultra GPUs and 36 Grace CPUs, delivering up to 1,400 petaFLOPS of FP4 AI performance. The system features 20.1 TB of HBM3e GPU memory and a total of 37.9 TB of fast memory. Each GPU is connected via NVIDIA ConnectX-8 VPI networking, providing 800 Gb/s InfiniBand connectivity.

Equipment NVIDIA — These are highly productive data processing platforms, developed in accordance with modern requirements for computing systems in the fields of artificial intelligence, research, industrial automation and corporate analytics. Architecture used — Hopper, Grace Hopper, Blackwell — provide high calculation density, energy efficiency and scalability.

NVIDIA solutions are focused on comprehensive support for neural network training and inference tasks, including large language models, generative artificial intelligence, computer vision, natural language processing, modeling and virtualization of processes.

Key features of platforms:

  • Support for Hopper, Grace, Blackwell and other architectures Orin

  • The use of graphic processors with interfaces NVLink/NVSwitch for an accelerated interaction between GPU

  • Memory HBM3 or HBM3e with high bandwidth

  • Ability to build scaled clusters, combined into a single computing knot

  • Compatibility with NVIDIA AI Enterprise, CUDA, Triton Inference Server, TensorRT, RAPIDS and other libraries

Scope of equipment NVIDIA:

  • Training and Infession of Modeling and Artificial Intelligence Models

  • Modeling and simulating processes in scientific and engineering tasks

  • Automation of production processes and robotic complexes

  • Creating digital doubles of objects and technological chains

  • Treatment of large data arrays and highly loaded analytical calculations

  • Graphic rendering, 3D modeling, physical process simulation and visualization

A brief overview of the main lines of equipment:

  • HGX — Server platforms for data centers designed to build scalable artificial intelligence infrastructure. Used in rack solutions and dated centers.

  • DGX — Ready NVIDIA Systems for AI-Clea. These are pre -configured solutions with maximum productivity to teach large models. Applied in scientific centers, laboratories, corporate sector.

  • IGX Orin — Industrial-grade platform for embedded artificial intelligence systems. Used in medicine, automation, transport, safety systems.

  • GH200 / GB200 / GB300 — new generation superflies that combine CPU and GPU in a single computing module with coherent memory. Applied in AI cluster, cloud solutions, LLM-models and digital doubles.

  • RTX Workstation — Professional graphics processors for workstations. Designed for design and graphics professionals, 3D, CAD and visualization. Provide accelerated processing of professional applications and AI-tasks.

  • GeForce RTX for a note TbEven — mobile graphic processors designed for resource -intensive tasks: Games, Rendering, Modeling, Application AI at User level.

Advantages of use of equipment NVIDIA:

  • Maximum productivity for artificial intelligence and machine learning tasks

  • Infrastructure optimization to work with new generation models

  • High scalability — from one node to II cluster

  • Compatibility with leading frameworks and software

  • Support for corporate solutions and IT infrastructures

  • Perspective for building modern date centers and peripheral computing

Specifications NVIDIA DGX GB300:

Component DGX GB300
GPU Configuration 72× NVIDIA Blackwell Ultra GPUs in Grace Blackwell Ultra Superchips
CPU Cores 2,592 Arm® Neoverse V2 cores
GPU Memory 20.1 TB HBM3e
Total Fast Memory 37.9 TB
AI Performance (FP4) 1,400 petaFLOPS
AI Performance (FP8) 700 petaFLOPS
AI Performance (FP16) 350 petaFLOPS
Networking 72× OSFP single-port NVIDIA ConnectX-8 VPI with 800 Gb/s InfiniBand

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