PNY Technologies, Inc.
PNY Tesla T4 16 GB GDDR6 Passive Graphics Card
A passive-cooled GPU with 16 GB GDDR6 memory, 2560 CUDA cores and 320 GB/s bandwidth for 8100 GFLOPS compute at 70 W
- Memory TypeDDR5
- 16 GB GDDR6 memory feeds large AI workloads
- 2560 CUDA cores accelerate parallel compute tasks
- 8100 Gflops single-precision performance speeds inference
- Passive cooling runs silently in dense servers
- 70 W power draw lowers rack energy costs
Tesla T4 16 GB Compute Card
The PNY Tesla T4 is a passive compute accelerator with 16 GB of GDDR6 memory and 2560 CUDA cores. It connects through a PCI Express x16 3.0 slot and draws a maximum of 70 W. The card targets inference, video transcoding and virtual desktop workloads in dense server chassis.
Sustained Load Thermal Behaviour
Passive cooling relies on directed chassis airflow across the full-length ATX heatsink. At the 70 W ceiling the memory bandwidth reaches 320 GBs on the 256-bit bus while single-precision compute peaks at 8100 Gflops. Without adequate front-to-back airflow the card will throttle to protect silicon.
Installation Constraints && Common Issues
The dual-slot ATX bracket fits standard server risers but requires a chassis with strong, aligned airflow; restricted vents cause immediate thermal limits. No auxiliary power connector is present so the slot must deliver the full 70 W. Verify motherboard PCIe 3.0 x16 electrical support before deployment.
Points forts
- 16 GB GDDR6 memory feeds large AI workloads
- 2560 CUDA cores accelerate parallel compute tasks
- 8100 Gflops single-precision performance speeds inference
- Passive cooling runs silently in dense servers
- 70 W power draw lowers rack energy costs
Caractéristiques
| Memory Type | DDR5 |
|---|
Questions sur cet article
How much power does the 70 W passive Tesla T4 draw when running continuously?
The card has a maximum power consumption of 70 W and uses passive cooling, so it adds that heat load to the chassis without a fan.
What slot and chassis does the PCI Express x16 3.0 Tesla T4 require?
It needs a full-height ATX slot with a PCI Express x16 3.0 interface and sufficient airflow for the passive heatsink.
Will the 256-bit GDDR6 Tesla T4 work alongside older CUDA 2560-core cards in the same system?
Yes, it shares the CUDA programming model with 2560 cores and 16 GB GDDR6 on a 256-bit bus, so existing CUDA workloads can target it.
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