A complete AI lifecycle management platform, including GPU resource, container, data, model management, and model retraining, etc.
Integrate with GIGABYTE's high-performance GPU server and flexibly support multi-platform GPU cards to meet various AI research and development goals.
Integrate the IDE required during the training, and provide various development programs, such as hyperparameter transfer, VSCode, PyCharm, etc.
For the various resource expansions and HA mechanisms required during development, and the computing environments from the single system to the clusters can be easily constructed.
With the well-integrated hardware-software stack, the AI R&D team is more focused on their professional domain knowledge to accomplish the AI mission.
The AI operators and service providers provide the applications through the trained model, and can flexibly adjust and expand the computing resources executed by the model engine according to the needs of the workload.
The build-in well-trained models are ready for the specific AI solutions. And it can become a newapplication by being the model engine combined with other application software.