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2663874
NVIDIA 900-22081-0040-000 Tesla K40 Passive 12GB PCIE 3.0 Computing Module
85% des répondants recommanderaient ceci à un ami
Numéro d'article:
2663874
DJF 28825
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Experience faster data transfer speeds and improved computational performance with the HP 12GB nVIDIA Tesla K40 PCI Express 3.0 x16 Module Computational Accelerator.
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Produits 100 % originaux
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Certifié ISO 27001
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Ce qui se démarque
Massive Memory
With 12GB of GDDR5 memory, the Tesla K40 delivers exceptional performance for data-intensive applications, allowing users to handle large datasets and complex computations efficiently.
High Compute Power
Leveraging NVIDIA's architecture, the K40 provides remarkable processing power for parallel computing tasks, enabling faster job completion and improved productivity for researchers and developers alike.
Versatile Usage
Designed for various applications in machine learning, data analytics, and scientific simulations, the Tesla K40 supports diverse workloads, catering to the needs of researchers, engineers, and enterprises.
Détails du produit
| Graphics Coprocessor | Nvidia |
| Graphics Card Ram | 12 GB |
| Video Output Interface | PCI Express |
| Graphics Ram Type | GDDR5 |
| Compatible Devices | Desktop |
| Graphics Card Interface | PCI Express |
| Memory Clock Speed | 875 MHz |
| Display Resolution Maximum | 3840x2160 |
| Brand | NVIDIA |
| Video Processor | NVIDIA |
| Antenna Location | Professional |
| Model Name | Tesla K40 |
| Graphics Description | NVIDIA Tesla K40 |
| Manufacturer | Hewlett-Packard |
| Number of Items | 1 |
| UPC | 778890494819 |
| Item Weight | 3 pounds (1.36 kg) |
| Model Number | Tesla K40 |
| Mfr Part Number | 900-22081-0040-000 |
| Graphics Ram Size | 12 GB |
| Graphics Processor Manufacturer | NVIDIA |
À qui est-ce destiné ?
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Data Scientists
Ideal for data scientists who require powerful computing for complex machine learning models and data analysis.
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AI Researchers
Offers significant computational power for AI researchers developing innovative algorithms and neural networks.
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High-Performance Computing
Suitable for users in HPC environments needing extensive processing capabilities for simulations and scientific computing.
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Casual Gamers
Not ideal for casual gamers seeking a graphics card for basic gaming and light applications.
DESCRIPTION DU PRODUIT
NVIDIA 900-22081-0040-000 Tesla K40 Passive 12GB PCIE 3.0 Computing Module
About This Item
Introducing the NVIDIA Tesla K40 Passive Computing Module, the ultimate solution for high-performance computing needs. Designed specifically for professionals in the fields of deep learning, scientific computing, high-performance computing, and data centers, the Tesla K40 delivers unparalleled performance and efficiency. With its powerful NVIDIA GPU computing technology, the Tesla K40 Computing Module offers incredible computational power and speed, allowing you to tackle the most demanding workloads with ease. Featuring a massive 12GB memory, this module ensures that you have enough space to store and process large datasets, making it ideal for complex simulations, analytics, and scientific research. Equipped with the latest PCI Express 3.0 x16 interface, the Tesla K40 ensures a seamless and efficient connection to your system, enabling you to fully utilize its capabilities.
The NVIDIA Tesla K40 boasts impressive specifications, including a high core count and clock speed, allowing you to experience superior performance in all your computing tasks. With its passive cooling design, you can enjoy a quiet and reliable computing experience, without the need for any additional fans or cooling solutions. When it comes to price-performance ratio, the Tesla K40 is a top contender. It offers exceptional value for money, allowing you to maximize your computing power without breaking the bank. With its extensive compatibility and support for CUDA, you can easily integrate the Tesla K40 into your existing workflow without any hassle.
Experience the power of NVIDIA Tesla K40 and unlock new possibilities in deep learning, scientific computing, and more. Take your computational performance to the next level with the NVIDIA Tesla K40 Passive Computing Module.
Vous avez une question ? Chattez avec nous
Questions et réponses des clients
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question:
What is the NVIDIA Tesla K40 and its main features?
répondre: The NVIDIA Tesla K40 is a high-performance computing module designed for data centers and intensive computational tasks. It features 12GB of GDDR5 memory and a PCIe 3.0 interface, ensuring fast data transfer rates. This module is ideal for deep learning, artificial intelligence, and high-performance computing (HPC) applications. With its powerful GPU architecture, the Tesla K40 can handle complex simulations and data analysis, making it a top choice for researchers and enterprises aiming for high computational efficiency. -
question:
What types of tasks is the Tesla K40 best suited for?
répondre: The Tesla K40 excels at handling tasks that require massive parallel processing power. This includes machine learning workloads, deep learning training, scientific simulations, and data analytics. Its high compute capability allows users to train complex models efficiently, which is crucial for industries like healthcare, finance, and automotive. Whether analyzing big data or running advanced AI algorithms, the K40 offers the performance needed to accelerate these tasks significantly. -
question:
Is the Tesla K40 compatible with my existing system?
répondre: To ensure compatibility, check if your system has a PCIe 3.0 x16 slot, as the K40 requires a full-height, half-length slot for installation. Additionally, confirm that your power supply can support the K40's requirements, typically around 235 watts. Using compatible drivers and software is crucial for optimal performance. Proper integration allows you to seamlessly upgrade your computing power for demanding applications. -
question:
Does the Tesla K40 require active cooling?
répondre: The Tesla K40 is a passive cooling module, meaning it relies on the system's airflow for cooling rather than an active fan. It's essential to install it in a well-ventilated server chassis that can maintain adequate airflow to prevent overheating. In environments with intense computational loads, using additional cooling solutions can enhance performance and longevity, making it suitable for sustained high-load tasks. -
question:
What operating systems are supported by the Tesla K40?
répondre: The Tesla K40 is compatible with several operating systems, including popular distributions of Linux and Windows Server environments. You should install the latest NVIDIA drivers to fully utilize the GPU's capabilities. This support makes it versatile for various workloads, whether you're developing applications or running simulations in different OS environments. -
question:
How does the Tesla K40 compare to newer GPU models?
répondre: While the Tesla K40 was a leader in computing power at launch, newer models like the Tesla V100 and A100 offer greater performance, more memory, and enhanced efficiency. However, the K40 remains a cost-effective option for users handling less intensive workloads or those upgrading older systems without requiring the absolute latest hardware. Assess your project needs to determine if the K40 still meets your performance criteria. -
question:
What is the warranty period for the Tesla K40?
répondre: Typically, the warranty period for the NVIDIA Tesla K40 is 3 years from the date of purchase. This may vary according to the retailer and region, so it's advisable to confirm the specific warranty offered at the point of sale. A robust warranty can provide peace of mind, ensuring you are covered in case of any defects or issues during usage, facilitating uninterrupted performance. -
question:
Can I use multiple Tesla K40 cards in a single system?
répondre: Yes, you can install multiple Tesla K40 cards in a system that supports multiple GPUs through PCIe slots. This can significantly enhance the computational power available for tasks such as parallel processing and deep learning. However, ensure your motherboard supports multi-GPU configurations and your power supply is capable of handling the combined power requirements for optimal performance. -
question:
What kind of software can leverage the K40's capabilities?
répondre: Software that utilizes CUDA and OpenCL frameworks can significantly benefit from the K40. This includes popular statistical analysis tools, machine learning libraries like TensorFlow or PyTorch, and simulation software used in scientific research. Using such applications can lead to accelerated processing times, improving efficiency and productivity in your workloads. -
question:
Where can I buy NVIDIA 900-22081-0040-000 Tesla K40 Passive 12GB PCIE 3.0 Computing Module?
répondre: You can buy the NVIDIA 900-22081-0040-000 Tesla K40 Passive 12GB PCIE 3.0 Computing Module from Ubuy in Djibouti. Ubuy offers various NVIDIA products, ensuring a user-friendly purchasing experience and reliable delivery options. Shopping from Ubuy also allows you to benefit from their customer service and return policies, making it a convenient choice for acquiring high-performance computing solutions.
NVIDIA Graphics Cards Tesla K40 Editorial Review
The NVIDIA Tesla K40 Passive 12GB PCIE 3.0 Computing Module, despite not being aimed at gaming, is highly recommended for data acceleration, with a focus on machine learning. It is advised to be used in cases with fans on one side to efficiently cool down in an office environment, due to its passive cooling design which makes it suitable for stacking multiple GPUs tightly. It has received positive feedback for its use in applications such as blender, zbrush, daz studio, among others, to enhance CUDA cores for faster renders. However, there was a note that it had been returned after a few days due to an incorrect order, though it was clarified that it could still be Considered virtually new and offered at a discounted price.
Avis et évaluations clients
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Avantages
- Suitable for machine learning and data acceleration.
- Passive cooling design allows for stacking multiple GPUs tightly.
- Positive feedback for applications like blender, zbrush, and daz studio.
Les inconvénients
- Not recommended for gaming.
CONFIANCE EN LA PLATEFORME & PROTECTION DE L'ACHETEUR
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