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Launch and scale AI workloads without the hassle of managing infrastructure

Overview

Launch a barebone GPU-accelerated workload

Quickstart – Hello, world!

Launch a Jupyter Notebook server with an SSH connection

GPU-accelerated Notebook

Launch an interactive web app for Stable Diffusion

Stable Diffusion Playground

Fine-tune Llama2-7B with instruction datasets

Llama 2 Fine-tuning

Llama 3 Deployment

Create a new experiment

Manage experiments

Monitor experiment results

Run distributed training jobs

Run local experiments

Create a new sweep

Monitor sweeps

Create a new workspace

Explore workspaces

Create an SSH connection

Download & attach datasets

Run a server application

Build a custom image

Tips & Limitations

Quickstart

Deploy with YAML

Migrate from Serve Beta

Monitor clusters

Create a new model

Manage models

Deploy models

Create a dataset

Manage datasets

Create a new Organization

Project summary

Create a new project

Project-level repo & datasets

Changelog

See the full list of compute options and pricing

Pricing & Compute

See VESSL Run in action with the latest open-source models

Models

See VESSL Run in action with common use cases and workflows

Use cases

Fine-tune Llama2-7B with a code instructions dataset

Llama2-7B Fine-tuning

Launch a text-generation Streamlit app using Mistral-7B

Mistral-7B Playground

Interactive playground of a lighter and faster version of Stable Diffusion XL

SSD-1B Playground

Generate images with a prompt on the web, powered with Stable Diffusion

Translate audio snippets into text on a Streamlit playground.

Whisper V3 Playground

Launch batch jobs to train nanoGPT from scratch and track experiments with vessl.log()

Train nanoGPT from scratch

Leverge the power of GPUs to efficiently train batch runs

Launch batch jobs on GPUs

Enable a real-time session of interacitve run on GPUs.

Spin-up a notebook server on GPUs

Backup & Restore data with Artifacts

Use VESSL AI Python SDK to log and track experiments

Track experiments with vessl.log

Import, export, and mount your data in your cloud object storage like AWS S3 or GCP GCS.

Use object storage with VESSL Run

VESSL Run is configured through a single YAML file.

YAML

Cheat Sheet

vessl cluster

vessl configure

vessl dataset

vessl experiment

vessl model

vessl organization

vessl project

vessl run

vessl serve

vessl ssh-key

vessl sweep

vessl volume

vessl workspace

Keras

Tensorboard

Transformers

vessl.configure

vessl.init

vessl.log

vessl.Image

vessl.Audio

vessl.hp.update

vessl.progress

vessl.upload

vessl.finish

Cluster

Dataset

Experiment

Image

Model

Organization

Project

RunnerBase

Service

SSH-key

Sweep

Volume

Workspace

YAML Reference

CLI Reference

SDK Reference

vessl image

Overview

List all kernel images

View information on the kernel image

YAML Reference

CLI Reference

SDK Reference

​Overview

​List all kernel images

​View information on the kernel image

Overview

List all kernel images

View information on the kernel image