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Correction: Both the CERN and CIEN racks have ConnectX-6 and GPU available on the same host. However, the CIEN rack is currently under maintenance as it is being transported back from SC.
You can proceed with your experiment on the CERN rack, subject to its availability.
Additionally, here’s a Fablib code snippet to help you check for specific resources on hosts:
fields=['name','nic_connectx_6_capacity','nic_connectx_5_capacity','tesla_t4_capacity','rtx6000_capacity', 'a30_capacity', 'a40_capacity']
output_table = fablib.list_hosts(fields=fields)
Thanks,
Komal1 user thanked author for this post.
Hi Tanay,
As you mentioned, the current infrastructure supports GPUs with ConnectX-5. Unfortunately, GPUs with ConnectX-6 are not a feasible option at this time. I hope the available setup works well for your experiment.
Thanks,
KomalShared the BitFile flash status with Nishanth over email. He confirmed that FPGA slice with EsNet Sites are working as expected.
Thanks,
KomalHi Vaneshi,
We are working to update the Permissions, but in the current release, you need permission
Net.PortMirroring
for InSlice PortMirroring to work.Thanks,
KomalHi Vaneshi,
Your project would need
Net.PortMirroring
permission for this to work. Could you please check if your project has this permission? If not, Please request your Project Owner or Lead to request for these permissions from the portal.
More details for requesting the permissions can be found here.Thanks,
KomalHi Nishanth,
I will check other sites too, it would be helpful if you can share sites you tried.
Could you please delete your slice and try again?It might be related to which bitfile has been used to Flash the FPGA. For instance, INDI is flashed with a bit file compatible with NEU workflow.
Thanks,
Komal- This reply was modified 1 month, 3 weeks ago by Komal Thareja.
November 25, 2024 at 12:35 pm in reply to: What is the maximum RAM and Disk space can allocated ? #7841Hi Yuanjun,
Details about the VM profiles are available here. For specific flavor information, please refer to the GitHub link. Feel free to reach out if you have any questions or concerns.
Thanks,
Komal
Hi Sourya,
I can confirm both node:
MICH_3D
and networkinterconnect4
have been deleted and are in Closed State.
In order to move the slice fromModifyError
toStableError
state, please execute the following block of code:
slice = fablib.get_slice(name=”Tailscale_Mesh_VPN”)
slice.modify_accept()
This should allow you to do any additional modifications.
Thanks,
KomalHi Ilya,
I’ve confirmed that the FPGA is currently allocated to a slice belonging to another user. While the FPGA may have been flashed with your bitfile, our current allocation system does not reserve FPGAs for projects based on bitfiles flash requests. If the FPGAs are not linked to a specific slice, they remain available for other users to request and utilize.
We are actively working on enhancing our allocation system and quota management, and I will take your experience as valuable feedback for these improvements. Apologies for any inconvenience this may have caused.
Thanks,
KomalKANS and LOSA both have the FPGA allocated.
WASH seems to have the FPGA available but based on the Core/Ram/Disk requested, the slice might have been rejected.
Snapshot for WASH:Worked with Hemil over a zoom meeting and was able to resolve the issue by renaming the bastion key in fabric_rc and re-executing the configure_and_validate.ipynb
Thanks,
KomalHi Hemil,
Could you please run the
jupyter-examples-*/configure_and_validate/configure_and_validate.ipynb
notebook?
This shall resolve any SSH key issues by renewing the expired bastion keys if any.Try your setup.sh script after that and let us know if you still see this error.
In addition, could you please try to SSH to the VMs using the command shown in SSH Command coloumn.Regarding auto configuring the IP addresses, please specify the subnet when creating a network and set mode to auto for the interfaces at slice creation. Please refer to one of the following examples for more details.
Please let us know if you still run into errors or questions.
Thanks,
KomalHi Ilya,
Could you please try your slice again? There were leaked slivers. I have cleared them, slice provisioning should work now.
Thanks,
KomalNovember 14, 2024 at 8:42 am in reply to: File Upload Limitations in Jupyter Environment with Python Code #7793Hi Ali,
We only provide 1G storage to users on Jupyter Containers in the
/home/fabric/work
directory. Could you please clarify or add screenshot of thedf -h
from the terminal in your container and also share how you are trying to upload the files?I tried and uploaded 800 MB file to my container using the Jupyter Hub upload interface without issues.
Thanks,
Komal -
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