Can this card be used in a multi-monitor setup, and if so, how many monitors can it support simultaneously?

This card supports a multi-monitor setup with up to 4 monitors simultaneously.

Is this graphic card suitable for AI computing and machine learning applications?

Yes, this graphic card is suitable for AI computing and machine learning applications as it offers 768 CUDA cores and 2.1 TFLOPS single-precision performance, meeting the basic requirements for AI computing.

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Main image of NVIDIA P1000 4GB All-round Professional Card, Industrial Package, GDDR5 Memory, 1253MHz, 128-bit, Bandwidth 80.19 GB/s, High-performance acceleration, AI computing

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NVIDIA P1000 4GB All-round Professional Card, Industrial Package, GDDR5 Memory, 1253MHz, 128-bit, Bandwidth 80.19 GB/s, High-performance acceleration, AI computing

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768-core computing power: 768 CUDA cores, 2.1 TFLOPS single-precision performance, meeting the basic requirements for AI computing and 3D rendering
4GB memory specifications: GDDR5 128-bit, 1253MHz frequency, 80.19GB/s bandwidth, enabling efficient multi-task data processing
High-Frequency Boost Design: 1468MHz Boost clock speed, enhancing 3D modeling and video editing efficiency
PCIe 3.0 Interface: x16 interface, up to 16GB/s bandwidth, enabling rapid data exchange
Multi-Purpose Compatibility: 4 DisplayPort 1.4 interfaces, supporting quad-screen 4K@60Hz output

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768-core computing power: 768 CUDA cores, 2.1 TFLOPS single-precision performance, meeting the basic requirements for AI computing and 3D rendering

4GB memory specifications: GDDR5 128-bit, 1253MHz frequency, 80.19GB /s bandwidth, enabling efficient multi-task data processing

High-Frequency Boost Design: 1468MHz Boost clock speed, enhancing 3D modeling and video editing efficiency

PCIe 3.0 Interface: x16 interface, up to 16GB/s bandwidth, enabling rapid data exchange

Multi-Purpose Compatibility: 4 DisplayPort 1.4 interfaces, supporting quad-screen 4K@60Hz output

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First Listed on Newegg	June 06, 2025

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