SXM2 V100 Acceleration Card 16GB VRAM Tensor Cores and High-load HBM2 Memory Massive Bandwidth for Data Handling Video Driver Card
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SXM2 V100 Acceleration Card 16GB VRAM Tensor Cores and High-load HBM2 Memory Massive Bandwidth for Data Handling Video Driver Card
The V100 is a professional data centre-grade GPU engineered to deliver reliable, sustained high-load computing within server environments.
SXM2 V100 Acceleration Card 16GB VRAM Tensor Cores and High-load HBM2 Memory Massive Bandwidth for Data Handling Video Driver Card
商品＃: 222687694

SXM2 V100 Acceleration Card 16GB VRAM Tensor Cores and High-load HBM2 Memory Massive Bandwidth for Data Handling Video Driver Card

商品＃: 222687694

JPY 54104

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*All items will import from 英国

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The V100 is a professional data centre-grade GPU engineered to deliver reliable, sustained high-load computing within server environments.
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Note: Step Up Voltage Transformer required for using electronics products of 英国 store (230 V). Recommended power converters 今購入.

この商品の利点

High-Performance VRAM
With 16GB of VRAM, the SXM2 V100 ensures smooth performance in data-intensive applications, making it ideal for AI, machine learning, and complex computations.
Advanced Tensor Cores
Equipped with cutting-edge Tensor Cores, this card accelerates matrix computations, significantly enhancing the performance of deep learning frameworks and providing faster results.
Massive Bandwidth
The high-load HBM2 memory offers exceptional bandwidth, enabling efficient data handling and processing, which translates to improved throughput and reduced latency in demanding workloads.

製品詳細

Shop SXM2 V100 Acceleration Card 16GB VRAM Tensor Cores and High-load HBM2 Memory Massive Bandwidth for Data Handling Video Driver Card online at a best price in 日本. B0GX86TZ7R
Item Weight2.95 lbs (1.34 kg)

どんな人にお勧めですか？

Suitable For
  • AI Researchers

    Perfect for AI researchers leveraging GPU power for training advanced models and algorithms efficiently.

  • Data Scientists

    Ideal for data scientists handling large data sets and performing complex computations smoothly with high bandwidth.

  • Game Developers

    Beneficial for game developers requiring robust GPU resources for rendering graphics and managing high-load applications.

Not Suitable For
  • Casual Gamers

    Overkill for casual gamers who don’t require extensive GPU capabilities for regular gaming experiences.

  • Budget Users

    Not suitable for users on a tight budget as this card represents a significant financial investment.

  • Home Users

    Excessive for home users with basic computing needs who do not utilize advanced GPU functionalities.

製品説明書

SXM2 V100 Acceleration Card 16GB VRAM Tensor Cores and High-load HBM2 Memory Massive Bandwidth for Data Handling Video Driver Card

何か質問はありますか？ おしゃべりしましょう

顧客の質問と回答

  • 質問: What is the maximum performance of the SXM2 V100?

    答え: The SXM2 V100 can achieve up to 125 TFLOPS for deep learning inference.
  • 質問: What type of memory does the V100 use?

    答え: The V100 uses 16GB of HBM2 high-bandwidth memory for enhancing data handling capabilities.
  • 質問: Is the V100 suitable for data center environments?

    答え: Yes, the V100 is specifically engineered for reliable and sustained high-load computing in server environments.

LXJLXD Graphics Cards Editorial Review

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“The product received very good packaging & safe…Thank You”

16 June 2026 · via Trustpilot
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“Accurate delivery timing given”

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JPY 54104

この商品はUbuyからまだ発送されておらず配送は最大10日かかります。この商品の配送に問題がおありでしたら注文より商品のキャンセル、返金をさせていただきます。

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PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

最高の物流パートナー
  • fedex
  • dhl
最速の国際配送

特徴と利点

  • Groundbreaking Volta architecture with dedicated tensor cores.
  • Achieves up to 125 TFLOPS for deep learning inference.
  • 16GB of high-bandwidth HBM2 memory for massive data handling.
  • Direct board-to-board SXM2 connection for stable power delivery.
  • Features robust traditional cores, up to 7.5 TFLOPS double-precision.
  • Optimized for high-load computing in data center environments.

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