NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
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NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
The Tesla K40 GPU accelerator is ideal for the most demanding HPC and big data problem sets. It outperforms CPUs by up to 10x and includes a Tesla GPUBoost feature that enables power headroom to be converted into user controlled performance boost.
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
Numéro d'article: 1069385

NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000

83% des répondants recommanderaient ceci à un ami

Numéro d'article: 1069385

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The Tesla K40 GPU accelerator is ideal for the most demanding HPC and big data problem sets. It outperforms CPUs by up to 10x and includes a Tesla GPUBoost feature that enables power headroom to be converted into user controlled performance boost.
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Ce qui se démarque

Exceptional Performance
The NVIDIA Tesla K40 offers unparalleled computational power, featuring 2880 CUDA cores and 12GB of GDDR5 memory, perfect for data scientists and researchers dealing with complex simulations and deep learning tasks.
Enhanced Memory Bandwidth
With 288 GB/s memory bandwidth, the K40 minimizes bottlenecks in data-intensive applications, ensuring seamless performance and faster execution times, making it preferable for HPC and AI workloads.
Advanced Technology
Utilizing NVIDIA's Kepler architecture, the Tesla K40 supports advanced features like Dynamic Parallelism and GPU Boost, enhancing resource utilization and enabling automatic performance optimizations tailored to applications.

Détails du produit

Shop for NVIDIA Tesla K40 GPU Computing Processor Graphic Cards at Ubuy Martinique. Get the best deals on graphic cards for powerful computing performance.
  • PCI Express 3.0 x16 bus type
  • NVIDIA Tesla K40 graphics engine
  • Features 12 GB GDDR5 memory
  • Designed for demanding HPC and big data tasks
  • Outperforms CPUs by up to 10x
  • Includes Tesla GPUBoost for user-controlled performance boost
Graphics CoprocessorNVIDIA Tesla K40
Graphics Card Ram12 GB
GPU Clock Speed745 megahertz
Video Output InterfaceHDMI
Graphics Ram TypeDDR5 SDRAM
Compatible DevicesDesktop
Graphics Card InterfacePCI Express
Memory Clock Speed3000 MHz
Number of Fans1
Display Maximum Resolution3840 x 2160
Display Resolution Maximum3840x2160
BrandNVIDIA
Video ProcessorNVIDIA
Antenna LocationProfessional
Built-In Media6 pin PCIe power cable, 8 pin power cable, GPU computing processor
Model NameTesla K40
Graphics DescriptionNVIDIA Tesla K40 GPU
Unit Count1 Count
Global Trade Identification Number00857905002963
ManufacturerNVIDIA
UPC013049827347 163121427122 851905155698 707283619980 178135481848 172304339237 132018335420 857905002963
Item Weight1.8 pounds (820 grams)
Item Type NameTesla K40 GPU Computing Processor
Model Number900-22081-2250-000
Mfr Part Number900-22081-2250-000
Graphics Ram Size12 GB

Contenu de la boîte

GPU computing processor

8 pin power cable

6 pin PCIe power cable

À qui est-ce destiné ?

Suitable For
  • Data Scientists

    Ideal for data scientists who require extensive computational power for complex algorithms and large datasets in their projects.

  • AI Researchers

    Beneficial for AI researchers working with deep learning frameworks that demand high processing capability and memory bandwidth.

  • High-Performance Computing

    Suitable for environments that rely on high-performance computing for simulations, rendering, and parallel processing tasks.

Not Suitable For
  • Casual Gamers

    Not ideal for casual gamers as it lacks features optimized for gaming performance and gaming titles support.

DESCRIPTION DU PRODUIT

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

  • question: What is the main purpose of the NVIDIA Tesla K40 GPU?

    répondre: The NVIDIA Tesla K40 GPU is primarily designed for high-performance computing (HPC) tasks and data-intensive applications. With its powerful architecture, it excels in scientific simulations, deep learning, and artificial intelligence by providing massive parallel processing capabilities. This makes it an ideal choice for researchers and engineers looking to accelerate their workloads and harness large datasets effectively.
  • question: How much memory does the NVIDIA Tesla K40 GPU have, and why is it important?

    répondre: The NVIDIA Tesla K40 GPU comes with 12GB of GDDR5 memory, which is crucial for handling large datasets and complex computations. This substantial memory allows for smoother processing of large-scale simulations, improving efficiency in workloads such as deep learning and data analysis. Users in fields like scientific research or machine learning will benefit from its ability to manage extensive data without bottlenecks in performance.
  • question: What is the architecture of the NVIDIA Tesla K40 GPU?

    répondre: The NVIDIA Tesla K40 is based on the Kepler architecture, which is designed for advanced computational performance and energy efficiency. This architecture features enhancements that optimize programmability and support for double precision calculations, making it suitable for scientific workloads and professional graphic rendering tasks. Users can leverage this architecture in enterprise environments for complex computational tasks or rendering applications.
  • question: Can the Tesla K40 be used for gaming?

    répondre: While the NVIDIA Tesla K40 GPU can technically run games, it is not optimized for gaming applications. This GPU is built primarily for computational tasks rather than graphical rendering for entertainment, which means users looking for an exceptional gaming experience would be better off choosing a consumer graphics card. However, if you’re interested in GPU computing or scientific applications, the K40 is a robust option.
  • question: What types of workloads are best suited for the NVIDIA Tesla K40?

    répondre: The NVIDIA Tesla K40 is particularly well-suited for workloads such as scientific simulations, machine learning, data analytics, and financial modeling. Its ability to process large volumes of data in parallel makes it ideal for users who require intense computing power for research purposes or those in fields like bioinformatics and climate modeling. This capability enables accelerated insights and high-performance data processing tailored to demanding tasks.
  • question: What are the power requirements for the Tesla K40 GPU?

    répondre: The NVIDIA Tesla K40 GPU has a thermal design power (TDP) of 235 watts, and it requires a compatible power supply system to ensure optimal performance. It is essential to use a robust cooling solution alongside proper airflow within the system to prevent overheating during intensive computations. Users should consider the power supply specifications and cooling mechanisms when integrating the K40 into their computing environments.
  • question: What makes the NVIDIA Tesla K40 a good choice for data centers?

    répondre: The NVIDIA Tesla K40 is an excellent choice for data centers due to its high-performance capabilities and energy efficiency. Its ability to support virtualization and multi-user environments makes it a versatile solution for cloud computing resources. Additionally, its impressive memory bandwidth and computational power allow for efficient processing across numerous applications, making it desirable for institutions focusing on large-scale analytics or machine learning tasks.
  • question: What software frameworks are compatible with the Tesla K40?

    répondre: The NVIDIA Tesla K40 GPU supports various software frameworks, including CUDA, TensorFlow, and other deep learning libraries. This compatibility enables developers and researchers to leverage the GPU for various applications in AI, machine learning, and scientific computing. The support for such frameworks allows users to accelerate their projects and maximize performance across different programming environments.
  • question: Where can I buy NVIDIA Tesla K40 GPU Computing Processor Graphic Cards with 12GB GDDR5 Memory in Martinique?

    répondre: You can purchase NVIDIA Tesla K40 GPU Computing Processor Graphic Cards with 12GB GDDR5 Memory at Ubuy. They offer a broad selection of computer hardware, ensuring you will find the GPU to meet your high-performance computing needs. Ubuy provides a reliable shopping experience with multiple options for your convenience.
  • question: Is the NVIDIA Tesla K40 suitable for machine learning tasks?

    répondre: Yes, the NVIDIA Tesla K40 is highly suitable for machine learning tasks due to its robust processing capabilities and large memory. It allows for efficient computation of complex algorithms, enabling rapid training of models. Users in the machine learning field can utilize the K40 for tasks such as image recognition, natural language processing, and predictive analytics, ensuring enhanced performance in their projects.

NVIDIA Graphics Cards 900-22081-2250-000 Editorial Review

The NVIDIA Tesla K40 GPU Computing Processor Graphic Card is a compute-only card used in scientific computing or 3D modeling. It does not have video outputs and is mainly used for offloading work through NVIDIA's CUDA API for faster processing. The card has a fan and uses PCI express 3.0. Customers have confirmed that the product comes in new box packaging. The card can be used with another NVIDIA card to increase power output. It is powerful enough to run Minecraft.

Avis et évaluations clients

8 évaluations des clients
  • 5 étoile
    71%
  • 4 étoile
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  • 1 étoile
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Avantages

  • Ideal for number crunching in scientific computing or 3D modeling
  • Can be used with another NVIDIA card for increased power output
  • Powerful enough for running Minecraft

Les inconvénients

  • No video outputs

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Caractéristiques et avantages

  • Ideal for demanding HPC and big data problem sets
  • Outperforms CPUs by up to 10x
  • Includes Tesla GPUBoost feature
  • 12 GB GDDR5 memory
  • PCI Express 3.0 x16 bus type
  • Equipped with big memory

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