Nvidia Tesla M2090 Gpu Card
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Nvidia Tesla M2090 Gpu Card
Tesla M-class GPU modules offer flexibility in deploying GPUs and remote monitoring and management capabilities, making them a great choice for large data center scale-out deployments.
Nvidia Tesla M2090 Gpu Card
제품번호 #: 7330603

Nvidia Tesla M2090 Gpu Card

제품번호 #: 7330603

KRW 275616

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지금 주문하시면 도착 예정일 목요일, 7월 23
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Tesla M-class GPU modules offer flexibility in deploying GPUs and remote monitoring and management capabilities, making them a great choice for large data center scale-out deployments.
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What Stands Out

High Performance
The Nvidia Tesla M2090 GPU delivers superior computing power, ideal for demanding applications like simulations, deep learning, and scientific modeling, ensuring faster data processing than traditional CPUs.
CUDA Technology
Equipped with CUDA cores, the M2090 enables parallel processing, enhancing performance for computation-heavy tasks. This feature allows developers to leverage the GPU for accelerated application development.
Energy Efficient
The Tesla M2090 is designed for high efficiency, providing exceptional performance per watt, which reduces operating costs and increases overall system reliability, making it a cost-effective choice for enterprises.

제품 세부 정보

Shop for the Nvidia Tesla M2090 GPU Card at Ubuy South Korea. Get the fastest and most powerful GPU for your data center, with remote monitoring and management capabilities. Choose from a wide variety of rackmount and blade systems for large-scale deployments.
Package Weight6.51 Pound

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data processing and machine learning tasks, offering powerful parallel processing capabilities for large datasets.

  • Researchers

    Beneficial for scientific computations, simulations, and modeling in fields like physics and bioinformatics.

  • AI Developers

    Great for developing complex neural networks and deep learning applications with enhanced computational power.

Not Suitable For
  • Casual Gamers

    Not suitable for general gaming; lacks optimization for consumer gaming experiences and is designed for professional use.

  • Small Scale Users

    May be excessively powerful and expensive for individuals or small businesses with limited computational requirements.

  • Standard Office Tasks

    Overkill for basic productivity tasks, as integrated graphics or low-end GPUs can handle these efficiently.

제품 설명

Nvidia Tesla M2090 Gpu Card

About This Item

Introducing the Nvidia Tesla M2090 GPU Card – the ultimate solution for high-performance computing in data centers. With its cutting-edge technology and powerful performance, this GPU card is designed to meet the demands of modern businesses and researchers alike. Equipped with the innovative Tesla M-class GPU modules, this card seamlessly integrates into GPU-CPU servers from a variety of OEMs, giving data center IT staff a wide range of options for deployment. Whether you prefer rackmount or blade systems, this GPU card is compatible with both, ensuring flexibility and compatibility with your existing setup. But the benefits don't stop there.

With remote monitoring and management capabilities, this GPU card makes large-scale data center deployments a breeze. IT staff can easily monitor and manage the GPU card, ensuring optimal performance and efficiency at all times. The Nvidia Tesla M2090 GPU Card is powered by Nvidia's advanced technology, delivering exceptional performance and reliability. It is specifically designed for intensive computing tasks like machine learning, scientific simulations, and big data analytics.

With its impressive processing power, this GPU card accelerates your workloads, allowing you to process vast amounts of data in a fraction of the time. Don't miss out on the advantages of the Nvidia Tesla M2090 GPU Card. Upgrade your data center and experience the power of high-performance computing. Whether you're a business looking for an edge in your industry or a researcher in need of powerful computing capabilities, this GPU card is the perfect choice. Invest in the Nvidia Tesla M2090 GPU Card and take your data center to new heights.

Order now and witness the unmatched performance and efficiency that this GPU card brings to the table.

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고객 질문 및 답변

  • 의문: What are the primary features of the Nvidia Tesla M2090 GPU card?

    답변: The Nvidia Tesla M2090 GPU card is designed for high-performance computing with features such as 512 CUDA cores, a memory bandwidth of 144 GB/s, and 6GB of GDDR5 memory. This card excels in parallel processing tasks, making it ideal for scientific simulations, deep learning applications, and data analytics. Its ability to handle massive data sets accelerates workloads significantly, ensuring efficient computations. Users in research institutions and AI development will find that its architecture optimally supports intensive calculations, resulting in expedited project timelines.
  • 의문: Is the Nvidia Tesla M2090 suitable for gaming?

    답변: The Nvidia Tesla M2090 is not tailored for gaming, as it is primarily engineered for high-performance computing and professional applications. While it possesses advanced processing capabilities, the lack of gaming optimizations and driver support means gamers may not achieve the best experience compared to consumer GPUs. Ideal use cases include research, simulations, and data science where heavy computations are required, rather than for casual or competitive gaming.
  • 의문: How does the Nvidia Tesla M2090 compare to other GPUs?

    답변: Compared to consumer graphics cards like the GeForce series, the Nvidia Tesla M2090 focuses more on computational performance than graphical output. This card is optimized for professional workloads, offering higher computational efficiency for parallel tasks. In fields such as artificial intelligence and data processing, its advantages become evident as it handles large data volumes far more effectively. When evaluating GPUs for specific workloads, the Tesla M2090 stands out in enterprise environments, showcasing the distinction in design purpose.
  • 의문: What types of applications benefit from the Nvidia Tesla M2090?

    답변: Applications that require extensive calculations, such as machine learning frameworks, scientific simulations, and data modeling, stand to benefit significantly from the Nvidia Tesla M2090. Its robust architecture allows users to accelerate complex algorithms and handle vast amounts of data with ease. For example, research institutions utilizing neural networks for AI research can process data much faster than with traditional CPUs. This GPU is a key asset for any professional setting focused on high-performance computational tasks.
  • 의문: What is the power consumption of the Nvidia Tesla M2090?

    답변: The Nvidia Tesla M2090 has a thermal design power (TDP) of approximately 225 watts. This power consumption is relatively modest for its class when considering its extensive computational abilities. Users must ensure their systems are equipped with adequate power supplies to prevent interruptions under heavy loads. Understanding power requirements helps in building efficient systems, especially when integrating multiple GPUs for parallel processing tasks in data centers or research labs.
  • 의문: Can the Nvidia Tesla M2090 be used for virtual desktops?

    답변: While the Nvidia Tesla M2090 can assist in rendering complex graphical computations, it is not optimized for traditional virtual desktop applications. Its design focuses on calculations rather than visual output. In environments where virtual desktop infrastructure (VDI) requires high visual fidelity, other GPUs geared toward such tasks may be better suited. However, for high-performance computing scenarios that support virtual environments, its robust processing capabilities can enhance backend computations and support larger workloads.
  • 의문: What kind of system requirements are needed for the Nvidia Tesla M2090?

    답변: To utilize the Nvidia Tesla M2090 effectively, a compatible system should have a PCI Express x16 slot, at least an 8GB RAM configuration, and a robust power supply of at least 450 watts. Additionally, supported operating systems include various distributions of Linux and Windows. Proper cooling mechanisms must also be in place to handle the GPU's thermal output, especially in sustained high-load scenarios. Users in scientific or engineering fields will appreciate these specifics for building capable high-performance computing clusters.
  • 의문: How to install the Nvidia Tesla M2090?

    답변: Installing the Nvidia Tesla M2090 involves several key steps. Start by ensuring your system is powered off and disconnected from the power source. Open the case, locate the PCI Express x16 slot, and securely insert the GPU. After that, connect the required power cables from the power supply. Boot up your system and install the latest drivers from Nvidia's website. It’s essential to follow the installation guidelines to prevent hardware conflicts, particularly in environments leveraging multiple GPUs for computational tasks.
  • 의문: Does the Nvidia Tesla M2090 support CUDA?

    답변: Yes, the Nvidia Tesla M2090 fully supports CUDA, which is Nvidia's parallel computing platform. This allows developers to utilize the GPU's processing power for applications that require massive parallel computations. With CUDA, users can enhance performance in areas such as machine learning, scientific computing, and engineering simulations. Leveraging CUDA enables efficient programming practices, allowing users to get the most out of their Tesla M2090 for complex algorithm processing.
  • 의문: Where can I buy the Nvidia Tesla M2090 GPU card in South Korea?

    답변: You can purchase the Nvidia Tesla M2090 GPU card from Ubuy, which offers a wide selection of tech products and makes it easy to find this specific model in South Korea. Ubuy provides a reliable shopping experience, ensuring that customers have access to quality options and comprehensive product details, making it convenient to acquire high-performance computing hardware like the Tesla M2090.

NVIDIA Graphics Cards Editorial Review

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장점

  • High performance
  • Excellent parallel processing
  • Supports CUDA
  • Great for AI
  • Energy efficient

단점

  • High cost

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