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NVIDIA B200 in stock

Short Description:

The NVIDIA B200 (codename: GB200) is the flagship GPU of the first-generation Blackwell architecture unveiled at NVIDIA GTC 2024. It is positioned as the core hardware for large model training and high-concurrency inference for medium and large-scale LLMs


  • FOB Price: US $0.5 - 9,999 / Piece
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  • Supply Ability: 10000 Piece/Pieces per Month
  • Brand: NVIDIA
  • Manager: Jinny
  • E-mail: sales5@xrjdcs.com
  • Tel: + 86-15359273791
  • ( WhatsApp )Wechat: + 86-15359273791
  • Warranty: one year
  • In stock: In stock
  • Product Detail

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    NVIDIA B200

    1. Product Overview

    The NVIDIA B200 (codename: GB200) is the flagship GPU of the first-generation Blackwell architecture unveiled at NVIDIA GTC 2024. It is positioned as the core hardware for large model training and high-concurrency inference for medium and large-scale LLMs. Manufactured via TSMC 4NP (approximately 4nm) process, it adopts a dual-die packaging design and is equipped with 192GB HBM3e high-bandwidth memory.
    The supporting complete system DGX B200 is configured with 8× B200 SXM5 GPUs. It delivers 96 PFLOPS of FP4 inference performance and 72 PFLOPS of FP8 training performance, with a total video memory of 1.5TB. It is mainly optimized for 7B–130B parameter LLMs, long-context scenario applications, and large-scale training cluster deployment.
    Form Factor: SXM5 liquid cooling version only (no PCIe air-cooled variant available)
    Product Positioning: Cost-effective flagship GPU as the predecessor of B300, and a comprehensive upgraded replacement for H200

    2. Core Specifications of Single B200 GPU

    2.1 Architecture & Manufacturing Process

    • Architecture: First-generation Blackwell (dual-die design)
    • Process Technology: TSMC 4NP (≈4nm)
    • Transistor Count: 20.8 billion
    • Packaging: Dual-die packaging with NV-HBI inter-die interconnect (10 TB/s bandwidth)

    2.2 Compute Cores

    • SM Count: 148 Streaming Multiprocessors
    • CUDA Cores: 20,480
    • Tensor Cores: 640 fifth-generation Tensor Cores, supporting FP4, FP6, FP8 and FP16 precision computing
    • Transformer Engine: Second-generation, optimized for LLM attention mechanism computing

    2.3 Memory System

    • Memory Capacity: 192GB HBM3e (8-stack configuration)
    • Memory Bus Width: 8192-bit
    • Memory Bandwidth: 8 TB/s
    • ECC Support: Enabled

    2.4 Dense Computing Performance (Single Card)

    • FP4 (Inference): 12 PFLOPS (16 PFLOPS for sparse computing)
    • FP8 (Training): 9 PFLOPS
    • FP16/BF16: 4.5 PFLOPS

    2.5 Interconnect & Interface

    • NVLink 5: 1.8 TB/s bidirectional bandwidth
    • PCIe Generation: Gen6, 256 GB/s bandwidth
    • Physical Interface: SXM5 (liquid cooling)

    2.6 Power Consumption & Thermal Solution

    • Typical Power Draw: 1000W
    • Cooling Solution: Cold-plate liquid cooling (standard configuration for DGX B200 system)

    3. DGX B200 (8-GPU Complete System) Specifications

    3.1 Hardware Configuration

    • GPU Module: 8 × B200 SXM5 GPUs, total HBM3e memory up to 1.5TB
    • CPU: 2 × Intel Xeon Platinum 6776P (64 cores / 128 threads per processor)
    • System Memory: 2TB (expandable to maximum 4TB)
    • NVSwitch: 2 × fifth-generation NVSwitch, aggregated bandwidth up to 14.4 TB/s
    • Network Configuration: 8 × OSFP 400G InfiniBand ports; 2 × BlueField-3 400G DPU
    • Storage: 8 × E1.S 3.84TB NVMe SSD (total storage: 30.72TB)
    • Total System Power Consumption: Approximately 10.5kW
    • Chassis Specification: 10U rack-mounted, liquid cooling design

    3.2 System Computing Performance

    • FP4 Inference Performance: 96 PFLOPS
    • FP8 Training Performance: 72 PFLOPS
    • FP16 Computing Performance: 36 PFLOPS

    NVIDIA B200

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