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130768304
NVIDIA Tesla k20 -5 GB GPU Server Accelerator Processing Unit Passive Cooling 900 - 22081 - 0010 - 000
Stavka #:
130768304
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What Stands Out
High Performance
The NVIDIA Tesla K20 accelerates demanding applications with its powerful GPU architecture, enabling faster and more efficient data processing when compared to traditional CPUs.
Passive Cooling
Designed with passive cooling technology, the Tesla K20 operates silently without the need for active cooling systems, ensuring reliability and durability in server environments.
Memory Capacity
Equipped with 5 GB of dedicated GPU memory, the Tesla K20 delivers substantial performance improvements for complex computational tasks and machine learning workloads, catering to data-intensive applications.
Detalji o proizvodu
- NVIDIA Tesla K20 GPU server accelerator
- 5 GB of GDDR5 memory
- Passive cooling design for quiet operation
- Optimized for high-performance computing and data analytics
- Ideal for scientific and industrial applications
- Designed to accelerate complex computational tasks
| Graphics Coprocessor | Nvidia Tesla |
| Graphics Card Ram | 5 GB |
| Video Output Interface | PCI Express |
| Graphics Ram Type | GDDR5 |
| Compatible Devices | Desktop |
| Graphics Card Interface | PCI-Express x16 |
| Brand | NVIDIA |
| Video Processor | NVIDIA |
| Antenna Location | Professional |
| Model Name | K20 |
| Graphics Description | Exclusive |
| Manufacturer | NVIDIA |
| UPC | 857905002659 |
| Item Weight | 907 g |
| Model Number | 6460411 |
| Mfr Part Number | 6460411 |
| Graphics Ram Size | 5 GB |
| Graphics Processor Manufacturer | NVIDIA |
Who Should Buy?
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Data Scientists
Ideal for data scientists using complex machine learning algorithms requiring high computational power for analysis and model training.
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Research Institutions
Perfect for research organizations needing reliable processing for scientific simulations or numerical analyses in various fields.
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Data Centers
Great for data centers that require efficient GPU accelerators to process large-scale datasets for enterprise applications.
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Gaming Enthusiasts
Not suitable for gamers looking for high-frame rate graphics performance and real-time rendering in gaming applications.
OPIS PROIZVODA
NVIDIA Tesla k20 -5 GB GPU Server Accelerator Processing Unit Passive Cooling 900 - 22081 - 0010 - 000
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Kako kupovati NVIDIA Tesla k20 -5 GB GPU Server Accelerator online od Ubuya?
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NVIDIA Graphics Cards 6460411 Editorial Review
**Editorial Review of NVIDIA Tesla K20 GPU Server Accelerator** The NVIDIA Tesla K20 is widely recognized for its exceptional performance in server environments, particularly for heavy computational tasks and high-performance computing (HPC) applications. Users have reported a marked improvement in speed and efficiency for machine learning, scientific simulations, and data processing tasks. The 5 GB GPU is equipped with CUDA capabilities, allowing for parallel processing which significantly accelerates workloads compared to standard CPUs. The passive cooling design is another highlight, as it helps maintain low noise levels during operation, making it suitable for server rooms where sound may be a concern. Users appreciate this feature, particularly in environments that require quiet operations without compromising on performance. The K20's compatibility with popular deep learning frameworks has also been frequently mentioned, making it a preferred choice among developers and data scientists. However, potential buyers should be mindful of the K20's age and be aware of its limitations when compared to more modern GPUs. The power Consumption is also a point of Consideration, as it may require adequate power supply arrangements. Overall, the NVIDIA Tesla K20 stands out as a robust option for those looking to enhance their computational capabilities, provided they align their needs with the specifications of this older unit. **
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Pros
- Excellent performance in high-performance computing tasks.
- CUDA capabilities for efficient parallel processing.
- Passive cooling design minimizes operating noise.
- Compatible with popular deep learning frameworks.
Protiv
- Older model may not match the performance of newer GPUs.
Product Price History
Važne informacije
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