Watson Machine Learning is Deprecating Support for Nvidia P100 GPU

Share this post:

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.

Offering Manager, Watson Studio Deep Learning

More Watson stories
January 2, 2019

Chatbots Orchestration and Multilingual Challenges – Part 1

Chatbots Orchestration and Multilingual Challenges Nowadays, conversational bots are created to meet the needs for users. However, if users need to actively switch between languages and conversations, or maintain a large conversational bot, it is also a tedious and difficult task, and it often causes bad experience. We propose a multilingual chatbot architecture to expand […]

Continue reading

December 24, 2018

Chatbots Orchestration and Multilingual Challenges – Part 2

Chatbots Orchestration and Multilingual Challenges This post is the part 2 of “Chatbots Orchestration and Multilingual Challenges” post. Please check Chatbots Orchestration, if you haven’t. Part 2. Multilingual Chatbots Challenges There are some challenges when creating multilingual chatbots. A common practice is to use a baseline language chatbot then translate it to other languages chatbots. […]

Continue reading

December 11, 2018

Announcing the GA Version of Watson Compare & Comply

Watson Compare & Comply has gone GA! Extract data from governing documents and other complex unstructured documents to power business processes with Watson.

Continue reading