ASUS TUF-RTX5080-O16G-GAMING GeForce RTX 5080 16GB GDDR7 graphics card
- PCIe 5.0
- NVIDIA
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A 24 GB GDDR5 GPU computing processor with 3072 CUDA cores on a PCI Express 3.0 x16 bus delivering 288 GBps memory bandwidth
The NVIDIA Tesla M40 provides 24 GB of GDDR5 memory and 3072 CUDA cores on a PCI Express 3.0 x16 interface. It targets deep learning training, inference and high-performance computing workloads that require large memory capacity. The Maxwell architecture delivers parallel processing power for data-centre and workstation environments.
The card uses a passive heatsink designed for server airflow, so it adds no fan noise to the chassis. Thermal performance depends on the host system supplying sufficient directed airflow across the 26.7 cm length. Power consumption is managed by the platform within standard PCIe limits.
NVIDIA CUDA toolkits and libraries let developers compile and optimise code for the 3072 cores without rewriting algorithms. Supported frameworks include TensorFlow, PyTorch and custom HPC applications that leverage the 288 GBps memory bandwidth. The PG600 board design ensures compatibility with qualified HP and OEM server platforms.
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| Product | |
|---|---|
| Brand name | NVIDIA |
| Model name | 900-2g600-0310-030 |
| Memory | |
| Type of memory | GDDR5 |
| Graphics | |
| Memory capacity | 24 GB |
Insert the card fully into a PCIe 3.0 x16 slot until the retention latch clicks, then secure the bracket screw; the step often missed is connecting the required auxiliary power cables before closing the case.
Periodically remove dust from the heatsink fins and fan blades using compressed air; the thermal paste under the cooler may need replacement after several years of continuous compute workloads.
The thermal envelope of the dual-slot cooler typically reaches its limit first, causing the card to throttle clock speeds before the 24 GB GDDR5 memory or PCIe 3.0 x16 bus becomes saturated.
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