After a long year with a waiting-to-be-used prescience token. I finally start to explore this tool.
Yet, I have some issue to connect my warp10 backend to it. I always have the 'unable to fetch data from time series backen' error message. I assume that come from a misconfiguration when I add a source. But I can't figure out how to fix it because my warpscript work on a quantum instance. So I assume that the wanted backend url must be the address only, without the endpoints (/api/v0/exec). I also assumed that the data can be numerous gts even if i have tried with an only one GTS as output.
So, I'm now clueless and I some helps would be really appreciate :)
TimeSeriesource you can only have a single GTS
Warp10source you can have several
Hello there !
We are really glad to announce the launch of OVHcloud AI Training as a paid beta, fully integrated in our public cloud openstack ecosystem.
You may know that data-related projects are booming, and we want to provide you all the required tools to build you own data and AI dreamed platform.
Since 2 years we added new services (Apache Hadoop big data clusters, Data processing powered by Apache Spark, ML Serving to deploy models in production, …).
Now, with AI Training, we simplify the life of data scientists and data engineers for neural network trainings over GPUs.
You just have to push your code in a docker and your data on Object Storage and the platform takes care of the rest (data sync, workload deployment, user management, ...).
If you don't know docker, it doesn't matter, you can use our prebuilt images with your favorite framework (HuggingFace, Pytorch, Tensorflow, MXNet, Fast.ai, ...) with JupyterLab notebooks and VScode.
All of that with as always, a simple and nice pricing : 1.75€ /hour /GPU NVIDIA V100s (more flavors to come…)
What does it solve ? lot of things ! easiness to scale, orchestration, no more infrastructure to manage, cost control, … focus on code 😊
Don’t hesitate to try it out, to share feedback or questions ! it’s on your Public Cloud control panel (AI training in left menu) or via CLI
Product page : https://www.ovhcloud.com/en/public-cloud/ai-training/
Documentation : https://docs.ovh.com/gb/en/ai-training/
Roadmap : https://github.com/ovh/public-cloud-roadmap/projects/2
Have a good day !