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товар №:
207748596
PNY NVIDIA NVLink Bridge
товар №:
207748596
KZT 354755
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Импортировано из магазина Japan
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The NVIDIA NVLink bridge enables compatible Ampere-based NVIDIA RTX graphics boards and data center GPUs to implement memory pooling and performance scaling, which double GPU memory capacity and provide linear performance scaling.
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What Stands Out
High Bandwidth
Offers massive data transfer speeds, enabling seamless communication between GPUs for high-performance gaming and rendering, far surpassing traditional connection methods.
Scalable Design
Supports multi-GPU setups, allowing users to easily expand their graphics power, making it ideal for serious gamers and professional designers looking for enhanced performance.
Optimized Cooling
Engineered with superior thermal management features, reducing heat buildup during intense workloads, ensuring reliable operation and prolonged hardware lifespan even under heavy load.
Информация о продукте
| Graphics Coprocessor | NVIDIA RTX A6000 |
| Graphics Card Ram | 24 GB |
| Video Output Interface | DisplayPort, HDMI |
| Graphics Ram Type | GDDR6 |
| Compatible Devices | Desktop |
| Graphics Card Interface | PCI Express |
| Memory Clock Speed | 1700 MHz |
| Number of Fans | 1 |
| Display Maximum Resolution | 8K |
| Display Resolution Maximum | [EST] 8K |
| Brand | PNY |
| Video Processor | NVIDIA |
| Antenna Location | Professional |
| Built-In Media | One NVLDIA NVLink bridge for compatible Ampere architecture based NVIDIA RTX and NVIDIA Data Center Tensor Core GPUs |
| Model Name | NVIDIA NVLink Bridge Amps, Standard Slot Spacing |
| Graphics Description | Exclusive |
| Manufacturer | PNY |
| Number of Items | 1 |
| UPC | 751492641430 |
| Model Number | RTXA6000NVLINK-KIT |
| Mfr Part Number | RTXA6000NVLINK-KIT |
| Graphics Ram Size | 24 GB |
| Graphics Processor Manufacturer | NVIDIA |
| Item Weight | 0.25 lbs (110 grams) |
Who Should Buy?
-
Gaming Enthusiasts
Ideal for gamers looking for enhanced graphics performance through multi-GPU setups for immersive gaming experiences.
-
Content Creators
Benefits video editors and 3D animators by providing superior rendering capabilities with multiple GPUs in professional workflows.
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AI Researchers
Supports machine learning and AI computations requiring high throughput and parallel processing capabilities from multiple GPUs.
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Casual Users
Not suitable for everyday users with basic computing needs who do not require high-performance graphics capabilities.
ОПИСАНИЕ ТОВАРА
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Вопросы и ответы клиентов
-
вопрос:
What is the maximum data transfer speed of NVIDIA RTX Graphics Boards?
отвечать: NVIDIA RTX graphics boards support up to 112.5 GB/s of bi-directional data transfer, far faster than PCIe. -
вопрос:
What is the bi-directional data transfer speed of NVIDIA A100?
отвечать: The NVIDIA A100, which used three (3) bridges per pair of boards, hits 600 GB/s of bi-directional data transfer. -
вопрос:
How can I enable memory pooling and performance scaling features for my application?
отвечать: Application support is required for the memory pooling and performance scaling features to be enabled. Check with your software vendor (ISV) to determine if NVlink is supported by your application(s).
ピーエヌワイ(PNY) Graphics Cards RTXA6000NVLINK-KIT Editorial Review
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5 оценки клиентов
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Плюсы
- Enables multi-GPU setups
- Improves performance in games
- Easy installation process
Минусы
- Compatibility issues with some GPUs
Platform Trust & Buyer Confidence
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Mohammad
Verified buyer
“Excellent quality and original too,when ubuy send original things I will appreciate that ,I very satisfied thank you”
23 July 2026 · via Trustpilot
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23 July 2026 · via Trustpilot
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KZT 354755
Закажите сейчас и получите товар приблизительно Среда, Сентябрь 16
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Особенности и преимущества
- NVLink bridge enables memory pooling and performance scaling
- Memory pooling doubles the GPU memory capacity
- Performance scaling provides linear performance scaling
- NVIDIA RTX series boards require a single NVLink bridge
- The NVIDIA A100 data center Tensor Core GPU requires three (3) NVLink Bridges
- Application support required for memory pooling and performance scaling features to be enabled
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