[Article] Geforce RTX 3090 Operation test with multiple sheets (November 11, 9GPU information added)

■ This is an article posted on June 2020, 10, so the content of the information may be out of date.

Last month (September 2020), NVIDIA's new GPURTX 30 series Was announced.The top model RTX 3090, A 2-slot and external exhaust cooler type that is easy to use as a multi-GPU has been released, so we immediately tested it.

The hardware used for verification is as follows.The storage is not described because it is changed for each verification OS, but SATA type SSD is used.

  • CPU: Intel Xeon-W 2155 (3.30GHz, 10 cores)
  • Memory: 256GB
  • GPU: NVIDIA GeForce RTX 3090 x 2
  • 1000W power supply 80PLUS PLATINUM

 

About RTX 3090

The outline specifications of the RTX 3090 that we are verifying this time are as follows.

CUDA core 10496
Core Clock 1695MHz
Memory Size 24GB
Memory Type / Clock GDDR6X / 19500MHz
CardBus PCI-E 4.0 x16
Card size L257mm W111mm H40mm
Power Connector 8pin x2

* The power consumption is 350W for the NVIDIA model of the chip maker, but this card is not listed above because there is no official notation on the card maker side.

Here is a picture of the test environment, which is equipped with two GPUs.

It may be difficult to understand from the photo alone, but the card size is not much different from the previous RTX 2080 Ti series.

However, the weight has increased significantly, and while the previous generation model RTX 2080 Ti weighed 817g (measured only for the main body), this time the RTX 3090 weighs 1,391g (measured only for the main body). The weight was up.

 

Operating status on OS

This time, we checked the operation of Windows10 Pro 64bit / Ubuntu 18.04 / Ubuntu 20.04.We have confirmed that it works by installing the driver on each OS.

In addition, the operation verification after this will be the result of the basic Ubuntu 18.04.

Operation under high load

The power consumption of this GPU has increased significantly compared to the previous generation.Therefore, as shown in the photo above, we conducted a verification under high load with two RTX 2s packed together.

The following GPU load test is a verification when the nbody of the CUDA Toolkit sample is operated with 2 GPU specified.

First of all, it was confirmed that the GPU temperature was about 83 ° C for the upper GPU and about 73 ° C for the lower GPU with a space near the FAN in the state of the previous photo with no gap near the cooling fan. .. You can see that the Slow down Temp on the Thrmal Sensor Information on the Setting panel is set to 95 ° C, so there is a little margin in terms of temperature, but due to the temperature difference between the top and bottom, it is still suitable for temperature control when multiple sheets are mounted. It can be seen that caution is required.

* Click the image to enlarge

In addition, the thing that measured the temperature near the GPU exhaust port on the outside of the case under the above load condition is as follows.

The value of T1 (large display in the upper row) is the upper GPU exhaust temperature, and the value of T2 (small display in the lower right) is the lower GPU exhaust temperature.The temperature near the exhaust port becomes quite high, so you need to be careful about the installation location.

Also, regarding power consumption, in the above two-sheet load measurement (measurement at the outlet), about 2W is used even when there is almost no load on the CPU, and at present it is in a 860V / 100A environment. It can be said that the four-sheet configuration is a difficult situation.

Support for Tensorflow

At the time of this verification (October 2020), it was still difficult to use the stable binary.

However, I was able to confirm the GPU operation with Nightly Build, so I think that it will be supported in the future.

* Click the image to enlarge
Person who wrote this article : Engineering Department Suzuki
The date this article was written : 2020.10.17

Added below on November 2020, 11

We also conducted an operation test with 3090 RTX 4 cards.

We have also confirmed the operation of the 4 GPU configuration.The temperature surface that I was worried about seemed to be able to cope with it from this verification (hereinafter image).

* Click the image to enlarge

If you are interested in RTX 3090 4GPU configuration, please come and visit us for research and industrial PC manufacturing and sales service "TegusisPlease contact us.