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**What is the current experience of ilab you've found issue with?**
installation with GPU machine is super long (>2 hours) because of vllm building time
**How do you think the described experience…
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### Is there an existing issue for this problem?
- [X] I have searched the existing issues
### Operating system
Windows
### GPU vendor
Nvidia (CUDA)
### GPU model
rtx3060
### GPU VRAM
6Gb
##…
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##### ISSUE TYPE
* Improvement Request
* Enhancement Request
##### COMPONENT NAME
UI
##### CLOUDSTACK VERSION
4.17.2
##### CONFIGURATION
Cloudstack running as VM on Ubuntu …
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Hi, dear siyi, appreciate it a lot for your solid work. I have a question when trasnferring your code to other datasets. Does your code supports training with multi-gpus, when I try to use 2 gpus, the…
fyb99 updated
1 month ago
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```
The tree method `gpu_hist` is deprecated since 2.0.0. To use GPU training, set the `device` parameter to CUDA instead.
```
but currently this package doesn't support `device="gpu"`
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Hello, I would like to know how to explicitly observe the communication process between multiple GPUs and how they exchange memory information. I noticed that the Distribution function can map physica…
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Thank you for your work. I want to run your code on my mahcine but encountered many issues with tensorflow. Could you provice more information about your working environment ,like python version, cuda…
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For LU, BT and SP algorithms, device 0 is selected every time, even after a change of GPU_DEVICE in the gpu.config file.
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Hello author, thank you for providing such an excellent work of the code, may I ask what the GPU resources required for this work are