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New Deployment

Deployment Name

Status

Start Time

End Time

Resource Usage

Actions

AI-Chatbot

active

12:00 PM

-

GPU: 4 | CPU: 8 | RAM: 16GB

View Details

Image-Processor

completed

9:00 PM

1:00 PM

GPU: 4 | CPU: 8 | RAM: 8GB

View Details

Code-Translator

failed

3:00 PM

11:00 PM

GPU: 2 | CPU: 8 | RAM: 8GB

View Details

AI-Chatbot

active

12:00 PM

-

GPU: 4 | CPU: 8 | RAM: 16GB

View Details

Image-Processor

completed

9:00 PM

1:00 PM

GPU: 4 | CPU: 8 | RAM: 8GB

View Details

Code-Translator

failed

3:00 PM

11:00 PM

GPU: 2 | CPU: 8 | RAM: 8GB

View Details

AI-Chatbot

active

12:00 PM

-

GPU: 4 | CPU: 8 | RAM: 16GB

View Details

Image-Processor

completed

9:00 PM

1:00 PM

GPU: 4 | CPU: 8 | RAM: 8GB

View Details

Code-Translator

failed

3:00 PM

11:00 PM

GPU: 2 | CPU: 8 | RAM: 8GB

View Details

AI-Chatbot

active

12:00 PM

-

GPU: 4 | CPU: 8 | RAM: 16GB

View Details

Image-Processor

completed

9:00 PM

1:00 PM

GPU: 4 | CPU: 8 | RAM: 8GB

View Details

Code-Translator

failed

3:00 PM

11:00 PM

GPU: 2 | CPU: 8 | RAM: 8GB

View Details

Deployment Details

Deployment Name: AI-Chatbot

Deployment ID: 0001

Status: Active

Resources Usage: GPU: 4 | CPU: 8 | RAM: 16 GB

Start Time: 12:00 PM

End Time: ---

API Endpoint: https://api.snowcell.io/deployments/ai-chatbot

Logs:

[INFO] Deployment initialized.
[INFO] Pulling Docker image...
[INFO] Initializing resources...
[INFO] Configuring environment variables...
[INFO] Loading templates...
[SUCCESS] Deployment completed successfully.

View Full Logs

Connect to AI-Chatbot

Copy the following code snippet to your application

"""Basic connection example."""

import redis

r = redis.Redis(
    host='redis-15515.c335.europe-west2-1.gce.redns.redis-cloud.com',
    port=15515,
    decode_responses=True,
    username="default",
    password="*******",
)

success = r.set('foo', 'bar')
# True

result = r.get('foo')
print(result)
# >>> bar