Two Slot SXM2 GPU Expansion Base for AI Training and Data Centers Featuring 300G Thermals Management Servers GPU Accelerators Board
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Two Slot SXM2 GPU Expansion Base for AI Training and Data Centers Featuring 300G Thermals Management Servers GPU Accelerators Board
Optimizes in mission critical scenarios including realtime genomic sequencing, rendering farms, and complex neural networking training.
Two Slot SXM2 GPU Expansion Base for AI Training and Data Centers Featuring 300G Thermals Management Servers GPU Accelerators Board
제품번호 #: 217323337

Two Slot SXM2 GPU Expansion Base for AI Training and Data Centers Featuring 300G Thermals Management Servers GPU Accelerators Board

제품번호 #: 217323337

KRW 1149908

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from 영국

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지금 주문하시면 도착 예정일 금요일, 10월 16
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Optimizes in mission critical scenarios including realtime genomic sequencing, rendering farms, and complex neural networking training.
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What Stands Out

Dual Slot Design
The Two Slot SXM2 GPU Expansion Base efficiently supports multiple GPU accelerators, maximizing performance for AI training and data centers, addressing the need for scalability and flexibility in high-demand environments.
Advanced Thermal Management
Featuring a robust 300G thermal management system, this base ensures optimal GPU performance, preventing overheating and enhancing reliability, compared to competitors with subpar cooling solutions, providing a stable training environment.
High Compatibility
Designed for seamless integration with various servers, this expansion base offers widespread compatibility with leading GPU models, delivering exceptional value for organizations looking to enhance their AI capabilities without hardware limitations.

제품 세부 정보

Shop Two Slot SXM2 GPU Expansion Base for AI Training and Data Centers Featuring 300G Thermals Management Servers GPU Accelerators Board online at a best price in South Korea. B0GKJGBFQ3
Brand NameTSMORY
Model NumberTSMORY
ManufacturerTSMORY
Country of OriginChina
Box Contentsas described
What is in the boxTwo Slot SXM2 GPU... For more details, please check description/product details
Item Weight4.5 lbs (2.04 kg)
Date First AvailableApril 14, 2026

Who Should Buy?

Suitable For
  • AI Researchers

    Ideal for researchers requiring high processing power for training advanced AI models efficiently and effectively.

  • Data Center Operators

    Designed for data centers needing enhanced GPU capabilities and effective thermal management for optimal performance.

  • Machine Learning Engineers

    Benefits engineers focusing on machine learning tasks, providing the necessary hardware for intensive computational workloads.

Not Suitable For
  • Casual Gamers

    Not suitable for casual gamers who don’t require advanced GPU configurations and high thermal management features.

제품 설명

Two Slot SXM2 GPU Expansion Base for AI Training and Data Centers Featuring 300G Thermals Management Servers GPU Accelerators Board

질문이 있으십니까? 채팅하기

고객 질문 및 답변

  • 의문: What types of workloads is this expansion base optimal for?

    답변: It is designed for high computing tasks including AI training, physics simulations, and large scale data analytics.
  • 의문: What is the thermal management capacity of this unit?

    답변: It features a 300W+ thermal capacity for ensuring continuous operation under heavy loads.
  • 의문: Is it compatible with other GPU types?

    답변: This baseboard is specifically engineered for SXM2 GPUs (V100), ensuring optimal performance and stability.

TSMORY Docking Stations Editorial Review

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KRW 1149908

지금 주문하시면 도착 예정일 금요일, 10월 16

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특징 및 장점

  • Supports two SXM2 GPUs (V100) for high performance AI workloads.
  • Features integrated NVLink for low latency communication.
  • Designed for 300W+ thermal capacity to maintain uninterrupted computing.
  • Ideal for data centers and research institutions needing high computational density.
  • Minimizes communication bottlenecks through dedicated NVLink architecture.
  • Ensures reliability in compute-heavy environments with optimized airflow design.

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