proxiML jobs can now run shell scripts prior to workload execution and data attachment to further configure the workload environment.

proxiML Training and Inference jobs can now be reran on updated data with only two clicks.

With the recent major release of PyTorch 2.0, new proxiML job environments are available.

Start building your own ChatGPT-like applications with popular open source Large Language Models like GPT-J, GPT-NeoX, and BloomZ.

CloudBender™ Device Configurations have been expanded to allow attaching public and private Checkpoints to edge inference devices.

Checkpoints and Datasets are now supported output destinations for proxiML Training and Inference jobs.

Checkpoints can now be created directly from public or private Hugging Face models.

Get started building models even faster by using Public Checkpoints.

proxiML now supports the creation and use of Checkpoints to store immutable versions of large model weight files.

Google Drive files can now be downloaded directly into proxiML Datasets and Models.