Hello,
I'm planning to install and use the Splunk App for Data Science and Deep Learning(DSDL) in a closed network environment.
I’m considering use cases involving deep learning and LLM-RAG architecture.
Could you please share the minimum server specifications for testing, as well as the recommended specifications for production?
Hi @hk_baek ,
for my knowledge, the minimum reference hardware is the normal reference for Splunk:; 12 CPUs, 12 GB RAM and 300 GB hd.
Then you should tune your installation to see if this specifications are sufficient for the use that you will do.
Obviously, this reference is to use DSDL without othe premium apps as ES or ITSI.
You can find all the information and documentation at https://splunkbase.splunk.com/app/4607
Ciao.
Giuseppe
Thank you for your response.
I understand that using a GPU is not mandatory, but I’ve heard that it can significantly improve performance when running deep learning algorithms like TensorFlow.
That’s why I was trying to find recommended GPU server specifications for using DSDL, but I couldn’t find any official guidance — so I wanted to ask here
Hi @hk_baek ,
Community is the right site for questions!
let me know if I can help you more, or, please, accept one answer for the other people of Community.
Ciao and happy splunking
Giuseppe
P.S.: Karma Points are appreciated 😉
I’m looking for the recommended specifications for a GPU server when using the Splunk DSDL App.
Any guidance would be appreciated!
Hi @hk_baek ,
the official Splunk documentation is the best guidance!
https://splunkbase.splunk.com/app/4607
Ciao.
Giuseppe