PrimeHub AI Platform

An all-in-one machine learning platform for enterprises in a single click

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PrimeHub provides a ready-to-use research and training environment for data scientists to focus on their true productivity in a collaborative environment. Backed by our on-premise and cloud solutions, we help boost your development efficiency not only by managing hardware resources, access control, datasets governance but also improve AI model time to market by MLOps workflow.

Our benefits are getting work done with more quality, but less effort

One-Click Model Training Environment

1. Interactive development with Jupyter Notebook
2. Support various deep learning frameworks
3. Visualize training progress

Cluster computing in the cloud or on-premises

1. Build a research environment rapidly
2. Scalable expansion to hundreds of nodes
3. Container Orchestration with Kubernetes

Resource management for teams

1. Personal and shared group workspace with dataset governance
2. Fine-grained quota allocation
3. Resource access privileges for groups

Enterprise features

1. Support to Single Sign-On (SSO)
2. 2FA user accounts protection
3. Tools for internal auditing

Our features empower your data team

Cluster Computing
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  • Rapid construction of research environments
  • Expansion to hundreds of nodes
  • Container orchestration with Kubernetes
  • Supports to on-premises and cloud installations
One-click Research Environments
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  • Develop interactively with Jupyter
  • Support various deep learning frameworks
  • Visualize training progress
Easy Dataset Loading
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  • Supports multiple forms of dataset loading
  • Automatic training data mounting according to group settings
Management of Resource & Quota Privileges
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  • Personal and shared group folders
  • Fine-grained quota allocation for members and groups
  • Resource access privileges for groups
Custom Deep Learning Environments
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  • Custom hardware specs of virtual machines
  • Supports multiple deep learning frameworks
  • Co-existence of multiple versions
Enterprise-Class Account Management
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  • 2-factor authentication user account protection
  • Single sign-on support
  • Internal auditing tools

We support your model to run on anyway, anywhere 

Data Source
AWS
AWS S3
Azure
GCP
GitHub
GitLab
Grafana
Hadoop
Jenkins
Julia
Jupyter Notebook
Kubernetes
NVIDIA
OpenShift
PyCharm
Power Bi
Python
PyTorch
R
R Studio
Scikit-learn
Seldon
SQL
TensorFlow
Tableau
VS Code
IDE
AWS
AWS S3
Azure
GCP
GitHub
GitLab
Grafana
Hadoop
Jenkins
Julia
Jupyter Notebook
Kubernetes
NVIDIA
OpenShift
PyCharm
Power Bi
Python
PyTorch
R
R Studio
Scikit-learn
Seldon
SQL
TensorFlow
Tableau
VS Code
Workflow Intergration
AWS
AWS S3
Azure
GCP
GitHub
GitLab
Grafana
Hadoop
Jenkins
Julia
Jupyter Notebook
Kubernetes
NVIDIA
OpenShift
PyCharm
Power Bi
Python
PyTorch
R
R Studio
Scikit-learn
Seldon
SQL
TensorFlow
Tableau
VS Code
Programming Language
AWS
AWS S3
Azure
GCP
GitHub
GitLab
Grafana
Hadoop
Jenkins
Julia
Jupyter Notebook
Kubernetes
NVIDIA
OpenShift
PyCharm
Power Bi
Python
PyTorch
R
R Studio
Scikit-learn
Seldon
SQL
TensorFlow
Tableau
VS Code
Algorithm & Library
AWS
AWS S3
Azure
GCP
GitHub
GitLab
Grafana
Hadoop
Jenkins
Julia
Jupyter Notebook
Kubernetes
NVIDIA
OpenShift
PyCharm
Power Bi
Python
PyTorch
R
R Studio
Scikit-learn
Seldon
SQL
TensorFlow
Tableau
VS Code
Model Operations
AWS
AWS S3
Azure
GCP
GitHub
GitLab
Grafana
Hadoop
Jenkins
Julia
Jupyter Notebook
Kubernetes
NVIDIA
OpenShift
PyCharm
Power Bi
Python
PyTorch
R
R Studio
Scikit-learn
Seldon
SQL
TensorFlow
Tableau
VS Code
Infrastructure
AWS
AWS S3
Azure
GCP
GitHub
GitLab
Grafana
Hadoop
Jenkins
Julia
Jupyter Notebook
Kubernetes
NVIDIA
OpenShift
PyCharm
Power Bi
Python
PyTorch
R
R Studio
Scikit-learn
Seldon
SQL
TensorFlow
Tableau
VS Code
Teaching assistants on different sites can operate the PrimeHub platform with ease to complete all administration tasks for students to start immediately and focus on learning new things.
Group 6
Group 30

FAQ

1. What is PrimeHub?

PrimeHub is an on-premise machine learning platform that enables AI/ML teams to focus on their true productivity in a collaborative environment. PrimeHub helps administrators manage hardware resources, access control, group quota, datasets and more.

2. Who is PrimeHub primarily for?

Administrators/IT Leaders and Data Scientists. Administrators set up environments for the data scientists to use. They can create custom images and allocate resources to each user, then set up each users’ data access and group permissions. Data scientists are given a seamless ML experience with their own customized Jupyter notebook environment.

3. Is PrimeHub Community Edition free?

PrimeHub CE is our single node version of PrimeHub with basic features and is available for anyone to use and contribute to. Visit our GitHub and ensure that you have the prerequisites you need to get started. You can also visit our documentation site for more info.

4. Can PrimeHub schedule jobs?

Yes. With our Job Submission feature, users are able to submit time-consuming jobs to run in the background, set a scheduled recurrence when creating a new job, or choose to run a job manually at a later time.

5. How does group management and sharing data work?

Administrators have the ability to add users to groups, and to allow groups access to specific data sets using the Admin dashboard.