AI Pub Dev: An MLOps tool
with web user interface
AI Pub Dev is built on Coaster, a container platform, designed to
support efficient management of GPU infrastructure resources for your AI development and training.
Coaster, AI Pub Dev, and AI Pub Ops
enable you to create value throughout the MLOps lifecycle.
They facilitate an efficient process for AI development and operation, making it easier to achieve your goals.
AI Pub Dev is a resource management tool designed for AI development and training.
It enables the allocation of limited AI infrastructure to multiple AI developers, facilitating their efficient use of the allotted GPU infrastructure resources for their specific tasks.
AI Pub Dev also allows the administrator to manage the GPU infrastructure resources according to various infrastructure patterns.
Discover AI Pub Dev’s functions
With Coaster at its core, AI Pub Dev offers fully-managed services for model training as well as resource and workload management.
Manages the user’s development environment via Docker images
Creates workspaces using development images
Facilitates integration with Jupyter Notebook and TensorBoard
Automatically allocates necessary resources for each AI training
Enables applications for GPU and CPU resources
Restricts resource usage per user account
Withdraws idle resources
Manage workspace of each node & Set MIG for each node
Monitors the entire infrastructure
(for manager) Create resource group and Set user’s authorization
Edit resource group
Manages suspension/resumption of schedulers
Oversees job scheduling and prioritization
Manages resource usage history for each user account
Downloads usage history
Determine resource
allocation priorities with ease
Have you ever struggled with deciding
on the priorities for allocating GPU infrastructure resources?
With AI Pub Dev, you can easily manage and adjust the order of the resource allocation queue.
The scheduler on/off function also allows you to respond flexibly
to any changes that may occur.
Fragment MIG into the smallest units
for efficient resource management
AI Pub Dev enables you to fragment MIG into the smallest units,
ranging from 1 to 7 fragments per GPU, ensuring optimal resource management.
You can also set resource application limit policies for each user account.
Monitor the status and operation rate of GPU resources real time
Discover whether you are utilizing your GPU resources efficiently.
Monitor real-time resource status and operation rates for each cluster, node, and project.
Additionally, you can track the resource usage amount and utilization rate for each account.
See a demo of AI Pub Dev’s functions.
Visit TEN’s YouTube channel to see demonstrations showing AI Pub Dev’s functions.
Ready to find out more about AI Pub?
Reach out with your questions about AI Pub.
We are here to assist you on your journey of AI development and operation.
