AI Lab Release Notes¶
This page lists the Release Notes for AI Lab, so that you can learn its evolution path and feature changes.
Note
Features marked as Beta are subject to change; please pay close attention when using them, and provide timely feedback if you encounter any issues.
2024-10-31¶
v0.10.0¶
Features¶
- Added the feature to specify the type of GPU to use when configuring vGPU resources in the
Training Task
. - Added support for Huggingface data sources in the
Dataset
, allowing you to download a vast array of models and datasets. - Added support for Modelscope data sources in the
Dataset
, allowing you to download a vast array of models and datasets. - Added the feature for cross-namespace references in
Dataset
. - Added support for specifying the type of card to use when configuring vGPU resources in the
Inference Service
. - Added a GPU management module in the
Operations Console
, which supports viewing card-level monitoring and metrics information. - Added compatibility for
Moxi
GPUs.
Improvements¶
- Improved the dataset update interface to provide more configuration options.
- Improved the entry position of the Notebook to enhance accessibility.
2024-09-30¶
v0.9.0¶
Note
The product module name was changed from Intelligent Computing Engine
to AI Lab
globally.
- Added a new data management sub-module, “Data Labeling,” for managing data labeling features across main data categories.
- Added a new model management sub-module, “Model List,” which supports to quickly import data.
- Added the feature to specify PVC storage size when creating a “Dataset.”
- Added support for one-click restarts of training jobs.
- Added the option to specify the GPU type when using vGPU resources.
- Added an upgrade of the base image for “baize-notebook” to v0.9.0.
- Improved global alerts support to ensure data availability during cluster exceptions.
2024-08-31¶
v0.8.0¶
- Added [Beta] support for manually saving a
Notebook
as an image while it is running (depending on the Container Registry module). - Added [Beta] support for automatically saving a
Notebook
as an image when it is closed (depending on the Container Registry module). - Added an feature to select private images from the Container Registry via a form for
Notebook
images. - Added support for configuring data input and data output for
Notebook
, directly associating them with datasets. - Added support for configuring
Notebook
to start asRoot
. - Added support for configuring data input and data output for
training jobs
, which can be directly linked to datasets. - Added [Beta] support for configuring breakpoint continuation for
training jobs
, with automatic detection and repair of job failures. - Added an feature to select private images from the Container Registry via a form for
training job
images. - Added the display of job parameters in the detail page of
training jobs
. - Added an feature in environment management to query preloading progress and provide a quick debugging entry.
- Added support for service invocation monitoring in the detail page of
inference jobs
. - Added an upgrade of the base image for
baize-notebook
to v0.8.0.
2024-07-31¶
v0.7.0¶
- Added support for
Datasets
to query preloading progress after dataset creation, along with a quick debug entry. - Added support for
training jobs
to create both single-machine and distributed tasks withMxNet
. - Added support for
training jobs
to createMPI
distributed tasks. - Added support for
training jobs
to use a default image, standardizing the use of base images. - Added support for
training jobs
to configure the startup command directly with a startup script. - Added support for
training jobs
to specify the working directory location for run parameters. - Added support for
Inference Tasks
to display example documentation forAPI
calls in the details. - Improved the
Env Management
list to show the package managers andPython
versions available in the environment.
2024-07-10¶
v0.6.1¶
- Fixed an issue where
Inference
create services using theTriton
framework lacked thevLLM
option.
2024-06-30¶
v0.6.0¶
Features¶
- Added support for creating
Code
typeNotebook
, providing a nativeVS Code
development experience. - Added support for quickly copying
Notebook
. - Added when selecting a worker cluster, display the cluster's status information, making it unselectable if it is disconnected or offline.
- Added support for using
vLLM
as the inference engine, exposing nativevLLM
capabilities when creating inference services. - Added
vLLM
supports configuringLora
inference parameters when creating inference services.
Improvement¶
- Improved the default queue priority to
High
when creating aNotebook
.
Fixes¶
- Fixed an issue with minimum resource limits for
Tensorboard
to prevent startup failures due to insufficient resources. - Fixed an issue with the Chinese descriptions of task statuses to avoid misunderstandings caused by unclear status descriptions.
2024-05-30¶
v0.5.0¶
Features¶
- Added support for adding
Tensorboard
analysis dashboard when creating tasks withbaizectl
. - Added support for binding
Job
to custom environments created inEnvironment Management
. - Added Improvements for custom environment configuration updates and improvements to the
Python
version selector inEnvironment Management
. - Added support for viewing resource monitoring dashboards in the details of
Inference Service
. - Added support for binding
Inference Service
to custom environments created inEnvironment Management
.
Fixes¶
- Fixed an issue where
Python
version prompts permission problems in certain cases within environment management. - Fixed an issue where the inference service does not support stopping during exceptions.
2024-04-30¶
v0.4.0¶
Features¶
- Added
Notebook
now supports local SSH access, compatible with various development tools such as Pycharm, and VS Code. - Added upgrade
Notebook
image to support the built-inCLI
toolbaizectl
, for command-line task submission and management. - Added
Notebook
adds affinity scheduling policy configuration. - Added distributed training jobs can now configure
SHM size
through the UI. - Added one-click restart function for training jobs.
- Added model training jobs support custom cluster scheduler specification.
- Added training task analysis tool
Tensorboard
support, can be launched with one click inNotebook
and training jobs. - Added when editing queue quotas, hints are provided for the shared resource configuration of the current workspace.
- Added upgrade and adapt Kueue version to
v0.6.2
.
Fixes¶
- Fixed an occasional sync anomaly issue with
Notebook
CRD
. - Fixed an issue where the query interface for
Notebook
affinity configuration parameters did not return.
2024-04-01¶
v0.3.0¶
- Added the Notebooks module, supporting development tools like
Jupyter Notebook
. - Added the Job Center module, supporting the training of jobs with various mainstream development frameworks such as
Pytorch
,Tensorflow
, andPaddle
. - Added the Model Inference module, supporting rapid deployment of
Model Serving
, compatible with any model algorithm and large language models. - Added the Data Management module, supporting the integration of mainstream data sources such as
S3
,NFS
,HTTP
, andGit
, with support for automatic data preloading.