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Accelerating Experiments.
Enhancing Solutions.
with

Kaio


An MLOps tool that accelerates ML & data processing workflows,
directly from your IDE.

pip install kaio 
from kaio import Client

# Initialize client
client = Client("https://api.kaion5.com")

# Login with your API key
client.login("your-api-key")

# Submit a job
result = client.submit_job(
    directory="./my-ml-project",
    job_name="training-job",
    instance_type="ml.g4dn.xlarge",
    entrypoint="train.py"
)

Run your ML experiments and data processing workloads on accelerated cloud compute with just a few lines of code.

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See Your Jobs in Action

Kaio Dashboard - Real-time job monitoring with metrics and logs

Kaio

For scientists, developers, engineers, and python people around the world, Kaio is an MLOps tool that works directly from your IDE, accelerating and enhancing data processing and ML model building workflows while freeing you from cloud compute and infrastructure overhead. With Kaio, you can focus entirely on speed, experimentation, and discovery.


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Features

Future Features

Kaio Client

The Python client that bridges your local development with cloud power:

🚀 Auto Framework Detection

client.submit_job(framework="pytorch") # or auto-detect

📦 Smart Packaging

client.submit_job(directory="./code", entrypoint="train.py")

⚡ Instance Flexibility

instance_type="ml.p3.2xlarge" # CPUs to GPUs

Supports: PyTorch, TensorFlow, Scikit-learn, Jupyter notebooks (.ipynb), and custom environments

⚡ CPU & GPU Acceleration

Data preprocessing, training, validation & inference orchestrated and accelerated with the right compute.

⏱ On-demand

Spin up GPUs in minutes, tear down when done.

🔍 Run Visibility

Keep track of logs and job runtime metrics.

💰 Cost Transparency

Real-time cost tracking and automatic teardown to optimize spending.

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Kaio is the bridge between exploration and production — the usability layer that unlocks velocity and prepares AI solutions for the real world.

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