Mixing
How do you manage 100 virtual servers for inference?
I need to boot 100 virtual servers and use each for tensorflow model inference for 30 days. What are some tools to do this?
I currently boot the servers using an image, and open two tmux sessions manually. One session is for the model client and the other is for the tensorflow server. I receive a slack notification if any of the server CPUs stop working as a way to know if a server fails (I also manually SSH to debug/restart the server).
Would appreciate any tips!
tensorflow
edited Jan 1 at 16:48
Kevin Workman
34.2k54173
asked Jan 1 at 14:58
echan00echan00
1,1971819
migrated from datascience.stackexchange.com Jan 1 at 15:58
This question came from our site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.
add a comment |
I need to boot 100 virtual servers and use each for tensorflow model inference for 30 days. What are some tools to do this?
I currently boot the servers using an image, and open two tmux sessions manually. One session is for the model client and the other is for the tensorflow server. I receive a slack notification if any of the server CPUs stop working as a way to know if a server fails (I also manually SSH to debug/restart the server).
Would appreciate any tips!
tensorflow
edited Jan 1 at 16:48
Kevin Workman
34.2k54173
asked Jan 1 at 14:58
echan00echan00
1,1971819
migrated from datascience.stackexchange.com Jan 1 at 15:58
This question came from our site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.
What are the virtual servers running on ? I would try to use Ansible or Terraform. But I think your question is off topic here
– Marged
Jan 1 at 16:05
Virtual servers are Ubuntu on digital ocean. I looked into Ansible previously but it didn't seem like it provided any debug tools and ways to take control of any server if things go wrong
– echan00
Jan 2 at 0:17
I guess you need to be more specific how you want to "take control" and how you can detect if this is necessary. And it would be very helpful if you add these details to your question and if / why you ruled out options (like you did with Ansible)
– Marged
Jan 4 at 13:57
add a comment |
I need to boot 100 virtual servers and use each for tensorflow model inference for 30 days. What are some tools to do this?
I currently boot the servers using an image, and open two tmux sessions manually. One session is for the model client and the other is for the tensorflow server. I receive a slack notification if any of the server CPUs stop working as a way to know if a server fails (I also manually SSH to debug/restart the server).
Would appreciate any tips!
tensorflow
edited Jan 1 at 16:48
Kevin Workman
34.2k54173
asked Jan 1 at 14:58
echan00echan00
1,1971819
I need to boot 100 virtual servers and use each for tensorflow model inference for 30 days. What are some tools to do this?
I currently boot the servers using an image, and open two tmux sessions manually. One session is for the model client and the other is for the tensorflow server. I receive a slack notification if any of the server CPUs stop working as a way to know if a server fails (I also manually SSH to debug/restart the server).
Would appreciate any tips!
tensorflow
tensorflow
edited Jan 1 at 16:48
Kevin Workman
34.2k54173
asked Jan 1 at 14:58
echan00echan00
1,1971819
edited Jan 1 at 16:48
Kevin Workman
34.2k54173
asked Jan 1 at 14:58
echan00echan00
1,1971819
edited Jan 1 at 16:48
Kevin Workman
34.2k54173
edited Jan 1 at 16:48
Kevin Workman
34.2k54173
edited Jan 1 at 16:48
Kevin Workman
34.2k54173
34.2k54173
asked Jan 1 at 14:58
echan00echan00
1,1971819
asked Jan 1 at 14:58
echan00echan00
1,1971819
asked Jan 1 at 14:58
echan00echan00
1,1971819
1,1971819
migrated from datascience.stackexchange.com Jan 1 at 15:58
This question came from our site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.
migrated from datascience.stackexchange.com Jan 1 at 15:58
This question came from our site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.
What are the virtual servers running on ? I would try to use Ansible or Terraform. But I think your question is off topic here
– Marged
Jan 1 at 16:05
Virtual servers are Ubuntu on digital ocean. I looked into Ansible previously but it didn't seem like it provided any debug tools and ways to take control of any server if things go wrong
– echan00
Jan 2 at 0:17
I guess you need to be more specific how you want to "take control" and how you can detect if this is necessary. And it would be very helpful if you add these details to your question and if / why you ruled out options (like you did with Ansible)
– Marged
Jan 4 at 13:57
add a comment |
What are the virtual servers running on ? I would try to use Ansible or Terraform. But I think your question is off topic here
– Marged
Jan 1 at 16:05
Virtual servers are Ubuntu on digital ocean. I looked into Ansible previously but it didn't seem like it provided any debug tools and ways to take control of any server if things go wrong
– echan00
Jan 2 at 0:17
I guess you need to be more specific how you want to "take control" and how you can detect if this is necessary. And it would be very helpful if you add these details to your question and if / why you ruled out options (like you did with Ansible)
– Marged
Jan 4 at 13:57
What are the virtual servers running on ? I would try to use Ansible or Terraform. But I think your question is off topic here
– Marged
Jan 1 at 16:05
What are the virtual servers running on ? I would try to use Ansible or Terraform. But I think your question is off topic here
– Marged
Jan 1 at 16:05
Virtual servers are Ubuntu on digital ocean. I looked into Ansible previously but it didn't seem like it provided any debug tools and ways to take control of any server if things go wrong
– echan00
Jan 2 at 0:17
Virtual servers are Ubuntu on digital ocean. I looked into Ansible previously but it didn't seem like it provided any debug tools and ways to take control of any server if things go wrong
– echan00
Jan 2 at 0:17
I guess you need to be more specific how you want to "take control" and how you can detect if this is necessary. And it would be very helpful if you add these details to your question and if / why you ruled out options (like you did with Ansible)
– Marged
Jan 4 at 13:57
I guess you need to be more specific how you want to "take control" and how you can detect if this is necessary. And it would be very helpful if you add these details to your question and if / why you ruled out options (like you did with Ansible)
– Marged
Jan 4 at 13:57
add a comment |
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What are the virtual servers running on ? I would try to use Ansible or Terraform. But I think your question is off topic here
– Marged
Jan 1 at 16:05
Virtual servers are Ubuntu on digital ocean. I looked into Ansible previously but it didn't seem like it provided any debug tools and ways to take control of any server if things go wrong
– echan00
Jan 2 at 0:17
I guess you need to be more specific how you want to "take control" and how you can detect if this is necessary. And it would be very helpful if you add these details to your question and if / why you ruled out options (like you did with Ansible)
– Marged
Jan 4 at 13:57