The Problem
Your training OOMs at hour 3. Your Colab session disconnects. Your GPU runs out of VRAM. You don't find out until you get back.
The Solution
Bannin runs in the background. It predicts crashes before they happen. It sends you a notification. You check in from any browser.
Sound familiar?
Every developer has been here. Most find out too late.
“Your 8-hour fine-tune OOMs at hour 7. You find out at hour 10.”
“Your Colab session expires. Your model weights are gone.”
“You push a 3-hour training run and leave for lunch. It crashed 4 minutes in.”
“Your GPU VRAM is full. Your next job silently queues. You wait for nothing.”
Bannin makes sure you never find out late again.
Built for developers who walk away
Predict, Don't React
OOM prediction with confidence scores. Know 12 minutes before your training crashes.
Check In From Anywhere
Real-time dashboard in your browser. Metrics, alerts, training progress -- all live.
Two Minutes to Set Up
pip install bannin && bannin start. Connect to the web. Done.
By the numbers
30+
LLM models tracked
OpenAI, Anthropic, Google, Ollama
17
Alert rules running
CPU, RAM, GPU, disk, session health
12 min
Avg OOM lead time
Predicted before it happens
< 2 min
Setup to first alert
pip install to production monitoring
Up and running in three steps
pip install "bannin[mcp]"Install the agent
bannin startStart monitoring
Connect on bannin.devCheck in from anywhere