ASUS TUF-RTX5080-O16G-GAMING GeForce RTX 5080 16GB GDDR7 graphics card
- PCIe 5.0
- NVIDIA
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A dual-slot 10.5-inch PCIe 3.0 x16 accelerator with 3584 CUDA cores and 16 GB HBM2 memory for high-performance computing
The NVIDIA Tesla P100 is a compute accelerator built for high-performance computing and deep learning workloads. It delivers 3584 CUDA cores and 16GB of HBM2 memory on a full-height PCIe card. The passive cooler requires directed chassis airflow to stay within thermal limits. It targets servers that need dense double-precision throughput.
The card plugs into a PCI Express 3.0 x16 slot and draws up to 250W under load. The 4096-bit memory interface feeds the GP100 GPU at 9.3 TFLOPS single precision and 4.7 TFLOPS double precision. System power delivery and slot bandwidth set the practical ceiling for sustained compute. No auxiliary power connectors are present on the board.
Installation means seating the dual-slot 10.5 inch card in a compatible full-height bracket slot with strong front-to-back airflow. The passive heatsink has no fan, so restricted air movement causes throttling or shutdown. Common issues are insufficient case ventilation, missing airflow ducting, or placing the card in a slot with inadequate clearance. Verify server fan profiles before deployment.
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| Product | |
|---|---|
| Brand name | NVIDIA |
| Model name | Tesla P100 |
| Graphics | |
| Memory capacity | 16 GB |
| CUDA core count | 3584 |
| Chipset maker | NVIDIA |
| Ports & slots | |
| Interface type | PCI Express 3.0 x16 |
| Size & build | |
| Form factor | Plug-in CardFull-height |
| More details | |
| Cooling solution | Fanless |
This card ships with 16GB of HBM2 memory on a 4096-bit interface; no lower-capacity variant is listed.
It represents peak FP64 throughput of 4.7 TFLOPS at the 250W power limit, achievable when the workload keeps all 3584 CUDA cores saturated.
The Gen3 x16 link provides up to 32 GB/s theoretical bandwidth, which limits host-to-device transfer rates for large datasets.
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