Cut your GPU bill in half.
Kairos is the AI/ML-native cost platform that eliminates 40-60% of GPU waste. Auto-pause idle clusters, schedule training jobs for off-peak hours, and slash inference costs, from your first experiment to production scale.
The cost layer AI/ML teams have been waiting for.
Every generic FinOps tool treats GPUs like overgrown CPUs. They can't tell training from inference, ignore utilization patterns, and offer zero ML-specific optimization, leaving your team to chase down waste line-by-line in the AWS console.
Kairos is different. We instrument every notebook cell, training job, and inference endpoint, pairing runtime optimization with pre-deployment prevention to eliminate 40-60% of GPU waste before it ever hits your bill.
Smart Job Scheduling
Queue training jobs for off-peak windows, claim spot capacity the moment it appears, and arbitrage prices across AWS, GCP, and Azure, all automatically.
Auto-Pause Idle Resources
Spot idle notebooks and dormant training jobs the moment activity drops. Auto-pause, save thousands, resume in one click.
LLM Inference Optimization
Semantic caching, intelligent model routing, and dynamic batching at the inference layer. Cut LLM costs 68-86% with zero quality loss.
The Problem
One platform for every dollar of GPU spend.
From the first pip install to production inference at scale, Kairos tracks every experiment, surfaces every recommendation, and eliminates every dollar of GPU waste. Your team builds the models. We handle the bill.
Stop paying for idle GPUs.
Join the ML teams already saving 40-60% on GPU spend with Kairos. Connect your cloud account in minutes. See results in days, not quarters.