A proxy server for Enverge workspaces
Project description
Enverge Proxy
Access powerful GPUs with no DevOps or infra configuration inside your current Google Colab notebooks.
Connects Google Colab with the Enverge Lab servers through a proxy, which runs on your local machine.
The proxy routes http://localhost:8123 to GPU-powered Enverge Lab instances.
The proxy should handle all ports, all types of TCP requests and authentication. By default, it uses the HTTPS port 443.
Requirements
- Python 3.10 and above
- Unix/Windows terminal
Installation
pip install enverge_proxy
Getting Started
Step 1.
After installing the package, please see the docs at Enverge Lab Colab Proxy.
Step 2.
epxy --token <your-enverge-token>
Context
Enverge.ai - Simpler, greener, cheaper AI training platform. 🌱
Enverge harnesses excess green energy for powerful, cost-effective computing on GPUs, enabling environmentally friendly AI model development, training, and fine-tuning. Currently in private alpha with limited spots available.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file enverge_proxy-0.1.2.tar.gz.
File metadata
- Download URL: enverge_proxy-0.1.2.tar.gz
- Upload date:
- Size: 5.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
58decbd2068bb874c7e1f73ebe355feadb811184002ff9de9001b03e5547570e
|
|
| MD5 |
6d4dd4714cc65d64c85a9e8e6ac8a35b
|
|
| BLAKE2b-256 |
38b49ef07c6835288b0f6d3fcc35ebdc55401ce85170cce32e448493bbe11eca
|
File details
Details for the file enverge_proxy-0.1.2-py3-none-any.whl.
File metadata
- Download URL: enverge_proxy-0.1.2-py3-none-any.whl
- Upload date:
- Size: 6.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4c1598b87de3ea67fb8ff32d53c5d94589e09920c324922e231d71d083d81509
|
|
| MD5 |
dc972f7084a95e1f9c5173ea620c7dde
|
|
| BLAKE2b-256 |
6bd3cebb109cf1a464ad650cd75c898f5b9105821a5c311406109e73c8a6ed97
|
