https://github.com/agnostiqhq/covalent-showcase
https://github.com/agnostiqhq/covalent-showcase
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/agnostiqhq/covalent-showcase
- Owner: AgnostiqHQ
- Created: 2024-05-24T22:40:25.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-17T12:37:25.000Z (about 1 year ago)
- Last Synced: 2025-03-25T07:01:50.083Z (7 months ago)
- Language: Jupyter Notebook
- Size: 10.7 MB
- Stars: 4
- Watchers: 6
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# ✨ Covalent Showcase ✨
Welcome! This repository contains a collection of applications that showcase [Covalent Cloud](https://www.covalent.xyz/) workflows and/or services. See the [table of contents](#table-of-contents) below for a list of examples. These materials complement our examples by providing additional resources such as front-end components, complete scripts, and more, which are linked from the [examples in our documentation](https://docs.covalent.xyz/docs/cloud/tutorials-cloud/tutorials).
🚀 Visit our [Quick Start](https://docs.covalent.xyz/docs/cloud/cloud_quickstart) guide to get started with Covalent Cloud.
## What is Covalent Cloud?
*Covalent Cloud is an infrastructure platform for building compute-intensive applications.* From serving AI models to running massive calculations, Covalent Clouds puts high-compute right at your fingertips.
## 🌤️ No cloud expertise? No problem!
Here's quick rundown of what you can do with Covalent Cloud. 👇
- Create, deploy, and scale cloud applications using a [simple Python SDK](https://pypi.org/project/covalent-cloud/).
- Use [state of the art hardware](https://docs.covalent.xyz/docs/cloud/guides/cloud_defining_resources#gpu-types) like H100 GPUs from the comfort of a local environment.
- Launch function services for [hosting LLMs](https://docs.covalent.xyz/docs/cloud/tutorials-cloud/hosting_llama) and other models.
- Run efficient, serverless [high-compute workflows](https://docs.covalent.xyz/docs/cloud/tutorials-cloud/finetuning) on cloud backends.
- Tailor [compute resources](https://docs.covalent.xyz/docs/cloud/guides/cloud_defining_resources) on a task-by-task basis to optimize costs.
- Create and edit reusable [cloud environments](https://docs.covalent.xyz/docs/cloud/guides/cloud_custom_environments) to suit virtually any task.
Users also benefit from a full-featured GUI and various additional features!
Visit our [documentation](https://docs.covalent.xyz/docs/cloud/covalent_cloud_main) to learn more about Covalent Cloud.
## Table of Contents
| Application | Documentation |Description |
|---------------------------------------------------------------------|--------------------------------------------------------------------------------------|--------------------------------------------------|
| 🏭 [AI Model Foundry](./zero-data-model-foundry/zero-data-model-foundry.ipynb) |[link](https://github.com/AgnostiqHQ/tutorials_covalent_pycon_2024)| Autonomous AI model foundry |
| 🤖 [Curtis Covalent](./chatbot-curtis-covalent/README.md) |[link](https://docs.covalent.xyz/docs/cloud/tutorials-cloud/serving_chat_bot/) | Llama-based chatbot with a Canadian personality. |
| 🌄 [Real-Time Image Generator](./image-generator-sdxl/README.md) |[link](https://docs.covalent.xyz/docs/cloud/tutorials-cloud/serving_txt_to_img_model/)| Real-time image generation using SDXL-Turbo. |
## Links
- 👉 [Sign up for Covalent Cloud](https://app.covalent.xyz/register)
- 📖 [Covalent documentation](https://docs.covalent.xyz/)
- 📚 [More examples](https://docs.covalent.xyz/docs/cloud/tutorials-cloud/tutorials)
- 🌟 [Covalent open-source](https://github.com/AgnostiqHQ/covalent)
- 💬 [Chat with us in our public Slack](https://covalentworkflows.slack.com/ssb/redirect)
- ✍️ [Blogs](https://www.covalent.xyz/blog/)
Feel free to [contact us](https://www.covalent.xyz/contact/) for further inquiries and support!