NVIDIA A16 - GPU computing processor - 64 GB - PCIe - for Dell PowerEdge R740, R750, R7515, R7525; HPE ProLiant DL380 G10, DL380 Gen10
- 250 W power consumption for energy-efficient operation
- 64 GB of installed video memory supports extensive data and graphic processes
- PCI Express interface ensures broad system compatibility and fast data transfer
The Cisco NVIDIA A16 stands out as a formidable GPU computing processor, designed to meet the needs of demanding computational tasks. With a power consumption operational level of 250 W, it strikes an optimal balance between high performance and energy efficiency. This is particularly beneficial for environments where sustained computational power is required, but energy use is a concern.
The device boasts an impressive 64 GB of installed video memory, making it well-suited for handling large datasets and intensive graphics processing tasks. This expansive memory capacity ensures that data can be processed smoothly and efficiently, minimizing bottlenecks and enhancing overall performance.
Furthermore, the NVIDIA A16 features a PCI Express interface, offering high-speed connectivity and compatibility with a broad range of systems. This ensures that the processor can be easily integrated into various setups, providing flexibility and ease of use. Whether for data centers, research institutions, or graphic-intensive applications, the NVIDIA A16 is engineered to deliver robust performance and reliability.
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Efficient power consumption
With a power consumption operational level of 250 W, this GPU computing processor balances performance and energy efficiency, making it ideal for sustained computational tasks without excessive energy use.
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Expansive video memory
Equipped with 64 GB of installed video memory, the NVIDIA A16 offers ample capacity for complex datasets and demanding graphics tasks, ensuring smooth performance and rapid data processing.
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High compatibility interface
Featuring a PCI Express interface type, this GPU computing processor provides high-speed connectivity and compatibility with a wide range of systems, facilitating easy integration into existing setups.
