EN-Labs 11-001-366 PCIe x4 USB 3.2 10Gbps 5-port card
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- 12CM Case fan,screw…
NVIDIA
Passive 24 GB GDDR5 accelerator with 3840 CUDA cores delivering 12 TFLOPS single-precision and 47 TOPS integer performance for dense inference workloads
The NVIDIA Tesla P40 is a workstation graphics card built for data-centre compute workloads. It delivers 24 GB of GDDR5 memory across a 384-bit bus providing 346 GB/s bandwidth. With 3840 CUDA cores it reaches 12 Tflops peak single-precision and 47 TOPS integer performance at boost clocks. The card uses a PCI Express 3.0 x16 interface and draws up to 250 W.
This passive dual-slot full-height board requires strong directed airflow from the chassis; it is not suited for quiet workstations or cases without server-grade cooling. Buyers who need display outputs for visualisation should look elsewhere because the card has no video connectors. Systems limited to a single 8-pin PCIe power cable cannot use the included adapter without two PCIe 8-pin sources.
The 24 GB frame buffer is the single specification that determines whether this card can hold your model or dataset. Workloads exceeding this capacity will require multi-GPU configurations or accelerators with larger memory. The 346 GB/s bandwidth and 3840 CUDA cores scale with that capacity for throughput-bound tasks.
| Memory Type | GDDR5 |
|---|
The card uses a passive heatsink with no moving parts, so routine cleaning is limited to removing dust from the fins. Thermal-paste replacement is not a scheduled task and would only be considered if temperatures rise unexpectedly after years of continuous operation.
The passive cooler must dissipate the full 250 W TDP without airflow of its own, so the chassis must supply enough directed air to keep the heatsink below its thermal ceiling; otherwise the GPU will throttle to protect itself.
At sustained load the GPU draws up to 250 W and converts virtually all of that into heat inside the case, requiring the server chassis to move that much thermal energy continuously.
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