Changelog

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March 11, 2024

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Cloud storage support for VESSL Run

Import your data from and export results to a cloud storage like AWS S3 and GCP GCS for your run. You can also bring your own cloud storage by adding the credential of your cloud storage on our improved Secrets page. Refer to our docs for a step-by-step guide.

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Google Cloud Storage FUSE

We are brining FUSE support for GCS. FUSE helps you work with object storage through familiar filesystem operations without needing to directly use the proprietary GCS SDKs.

from google.cloud import storage

# Initialize Google Cloud Storage client
storage_client = storage.Client.from_service_account_json('your-service-account-file.json')

# Reference an existing bucket
bucket = storage_client.get_bucket('my-bucket')

# Upload a file
blob = bucket.blob('remote_file.txt')
blob.upload_from_filename('local_file.txt')

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January 31, 2024

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New get started guide

We’ve updated our documenation with a new get started guide. The new guide covers everything from product overview to the latest use cases of our product in Gen AI & LLM.

Follow along our new guide here.

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New & Improved

• Added a new managed cloud option built on Google Cloud
• Renamed our default managed Docker images to torch:2.1.0-cuda12.2-r3

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December 28, 2023

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Announcing VESSL Hub

VESSL Hub is a collection of one-click recipes for the latest open-source models like Llama2, Mistral 7B, and StableDiffusion. Built on our fullstack AI infrastructure, Hub provides the easiest way to explore and deploy models.

Fine-tune and deploy the latest models on our production-grade fullstack cloud infrastructure with just a single click. Read about the release on our blog or try it out now at vessl.ai/hub.