You will get Enterprise grade Kubeflow AI/ML Platform
Project details
You'll get best in the class enterprise great MLOps platform based on fully open source software. It can be deployed on your on-prem infrastructure on in the public cloud. This platform will make your data and scientist engineers much efficient and focused on the company goals.
Machine Learning Tools
Apache MXNet, BERT, Hortonworks, Kubeflow, NumPy, NVIDIA AI Platform, OpenCV, Oryx 2, PyMC, Python, PyTorch, R, SciPy, Sonnet, SQL, Stanford CoreNLP, TensorFlow, Vertex AI, Weka, XGBoostWhat's included $1,000
These options are included with the project scope.
$1,000
- Delivery Time 3 days
- Number of Revisions Unlimited
- Number of Model Variations 1
- Number of Scenarios 1
- Number of Graphs/Charts 1
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Additional Scenario
(+ 1 Day)
+$500About Dmitry
System Architect | Backend Developer | DevOps Expert
Haifa, Israel - 12:41 pm local time
Linux, Docker, Kubernetes and public clouds expert.
Steps for completing your project
After purchasing the project, send requirements so Dmitry can start the project.
Delivery time starts when Dmitry receives requirements from you.
Dmitry works on your project following the steps below.
Revisions may occur after the delivery date.
The Kubeflow dashboard is accessible over valid DNS name and TLS certs.
User is capable to create and access the Jupyter notebook