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товар №:
1069385
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
товар №:
1069385
TJS 1996
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Импортировано из магазина USA
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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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What Stands Out
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.
Информация о продукте
- 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 Coprocessor | NVIDIA Tesla K40 |
| Graphics Card Ram | 12 GB |
| GPU Clock Speed | 745 megahertz |
| Video Output Interface | HDMI |
| Graphics Ram Type | DDR5 SDRAM |
| Compatible Devices | Desktop |
| Graphics Card Interface | PCI Express |
| Memory Clock Speed | 3000 MHz |
| Number of Fans | 1 |
| Display Maximum Resolution | 3840 x 2160 |
| Display Resolution Maximum | 3840x2160 |
| Brand | NVIDIA |
| Video Processor | NVIDIA |
| Antenna Location | Professional |
| Built-In Media | 6 pin PCIe power cable, 8 pin power cable, GPU computing processor |
| Model Name | Tesla K40 |
| Graphics Description | NVIDIA Tesla K40 GPU |
| Unit Count | 1 Count |
| Global Trade Identification Number | 00857905002963 |
| Manufacturer | NVIDIA |
| UPC | 013049827347 163121427122 851905155698 707283619980 178135481848 172304339237 132018335420 857905002963 |
| Item Weight | 1.8 pounds (820 grams) |
| Item Type Name | Tesla K40 GPU Computing Processor |
| Model Number | 900-22081-2250-000 |
| Mfr Part Number | 900-22081-2250-000 |
| Graphics Ram Size | 12 GB |
| Country of Origin | This item will be imported from US |
| Date First Available | April 10, 2021 |
Who Should Buy?
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Data Scientists
Ideal for data scientists who require extensive computational power for complex algorithms and large datasets in their projects.
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AI Researchers
Beneficial for AI researchers working with deep learning frameworks that demand high processing capability and memory bandwidth.
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High-Performance Computing
Suitable for environments that rely on high-performance computing for simulations, rendering, and parallel processing tasks.
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Casual Gamers
Not ideal for casual gamers as it lacks features optimized for gaming performance and gaming titles support.
ОПИСАНИЕ ТОВАРА
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
Есть вопрос? Пообщайтесь с нами в чате
Вопросы и ответы клиентов
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вопрос:
What is the main purpose of the NVIDIA Tesla K40 GPU?
отвечать: 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. -
вопрос:
How much memory does the NVIDIA Tesla K40 GPU have, and why is it important?
отвечать: 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. -
вопрос:
What is the architecture of the NVIDIA Tesla K40 GPU?
отвечать: 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. -
вопрос:
Can the Tesla K40 be used for gaming?
отвечать: 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. -
вопрос:
What types of workloads are best suited for the NVIDIA Tesla K40?
отвечать: 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. -
вопрос:
What are the power requirements for the Tesla K40 GPU?
отвечать: 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. -
вопрос:
What makes the NVIDIA Tesla K40 a good choice for data centers?
отвечать: 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. -
вопрос:
What software frameworks are compatible with the Tesla K40?
отвечать: 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. -
вопрос:
Where can I buy NVIDIA Tesla K40 GPU Computing Processor Graphic Cards with 12GB GDDR5 Memory in Tajikistan?
отвечать: 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. -
вопрос:
Is the NVIDIA Tesla K40 suitable for machine learning tasks?
отвечать: 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.
Customer Reviews & Ratings
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Плюсы
- 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
Минусы
- No video outputs
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TJS 1996
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Особенности и преимущества
- 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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