Removing the P100 compute tier from Watson Machine Learning service
We would like to inform you that we are removing the P100 compute tier from Watson Machine Learning service. We will still keep supporting K80 and V100 compute tiers and there will be no impact to K80 and V100 users.
Current P100 users are encouraged to move workloads to the newer V100, which is a more powerful and cost-efficient alternative. For more information about V100 and its performance comparison with P100, please click here.
P100 users can also choose a compute tier with multiple K80 as a more affordable and equally powerful solution. Please be aware that K80 has older architecture and may be incompatible with frameworks requiring newer architecture. For more information about K80, please click here.
We recommend P100 users to start testing workloads on V100 or K80 as soon as possible in case there are any problems need to be addressed. If you currently have running jobs on P100, please try your best to estimate the finish time. If it might go beyond our End of Support Withdrawal Date, we advise you to evaluate the option to stop early in case it can save your cost. For more information on how to change compute tier and cancel jobs, please read our documents for command line interface and Python client.
Here are some important dates you need to know:
End of Support Announce Date: 11/13/2018
As of November 13, 2018, existing running jobs on P100 will continue to be supported until the End of Support Withdrawal Date of 12/13/2018.
End of Support Withdrawal Date: 12/13/2018
As of December 13, 2018, any training jobs on P100 still running will be deleted. Please save results from your training jobs on P100 before the End of Support Withdrawal Date.
As always, we’re here to help! Reach out to us in the support forums or on stack exchange. We will get back to you as soon as possible.