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NVIDIA Tesla P4 - GPU computing processor - Tesla P4 - 8 GB GDDR5 low profile - fanless
TWD 10895
Price Details
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*All items will import from 美國
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Unlock AI-based video services with a dedicated decode engine Tesla P4 can transcode and infer video streams in real-time.
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What Stands Out
產品詳情
| Graphics | NVIDIA Tesla P4 |
| Graphics processor | Tesla P4 |
| Ram memory | 8 GB |
| Brand | NVIDIA |
| Number of graphics processors | 1 |
| Model name | NVIDIA Tesla P4 |
| Has written warranty | No |
| Item Weight | 1.2 lbs (540 grams) |
Who Should Buy?
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Machine Learning
Ideal for AI researchers needing powerful processing for deep learning tasks without noise due to a fanless design.
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Data Centers
Perfect for data centers requiring low-profile and energy-efficient GPU solutions for virtualization and cloud computing.
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Media Processing
Great for video encoding and transcoding operations, using GPU acceleration to enhance performance in media applications.
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Gaming
Not suitable for high-end gaming as it lacks the necessary features and performance of consumer gaming GPUs.
產品描述
NVIDIA Tesla P4 - GPU computing processor - Tesla P4 - 8 GB GDDR5 low profile - fanless
客戶問答
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問題:
What is the main purpose of the Tesla P4?
Answer: The Tesla P4 is designed to provide high inference performance for AI-based video services and enhance user engagement in various applications. -
問題:
How does Tesla P4 improve video streaming services?
Answer: It utilizes a dedicated hardware-accelerated decode engine that allows real-time transcoding and inference of video streams. -
問題:
Is the Tesla P4 energy efficient?
Answer: Yes, it is designed with a small form factor and low power footprint to achieve high efficiency for deep learning workloads.
NVIDIA Graphics Cards Editorial Review
Customer Reviews & Ratings
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Product Price History
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TWD 10895
立即訂購並活動它 週六, 八月 01
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特色和優勢
- Real-time inference for enhanced user engagement.
- Dedicated hardware-accelerated decode engine for video streams.
- Transforms deep learning into practical video services.
- Optimized for high efficiency in low power scale-out servers.
- Supports rapid deployment with TensorRT and deepstream SDK.
- Ideal for meeting the growing demand for AI applications.
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