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Nº de artículo:
1069385
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
Nº de artículo:
1069385
CLP 179128
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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.
Detalles de producto
- 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 MHz |
| 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 |
| Global Trade Identification Number | 00857905002963 |
| Manufacturer | NVIDIA |
| UPC | 013049827347 163121427122 851905155698 707283619980 178135481848 172304339237 132018335420 857905002963 |
| Mfr Part Number | 900-22081-2250-000 |
| Model Number | 900-22081-2250-000 |
| Unit Count | 1.0 Count |
| Item Type Name | Tesla K40 GPU Computing Processor |
| Item Weight | 1.82 Pounds (830 grams) |
| Graphics Ram Size | 12 GB |
| Country of Origin | This item will be imported from US |
| Date First Available | April 10, 2021 |
Who Should Buy?
-
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.
DESCRIPCIÓN DEL PRODUCTO
NVIDIA Tesla K40 GPU Computing Processor Graphic Cards 900-22081-2250-000
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Preguntas y respuestas de los clientes
-
Pregunta:
What kind of problems is Tesla K40 GPU good for?
Respuesta: The Tesla K40 GPU is ideal for demanding HPC and big data problem sets. -
Pregunta:
How much faster is Tesla K40 GPU compared to CPUs?
Respuesta: The Tesla K40 GPU outperforms CPUs by up to 10x. -
Pregunta:
What is the Tesla GPUBoost feature?
Respuesta: The Tesla GPUBoost feature enables power headroom to be converted into user controlled performance boost.
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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ventajas
- 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
Contras
- No video outputs
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CLP 179128
Haz tu pedido ahora y recíbelo por ahí Viernes, Agosto 28
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características y beneficios
- 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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