# Stop Guessing Pod Sizes. Start Predicting.

Thoras uses machine learning to forecast what your pods actually need and adjusts CPU and memory before demand changes.

No restarts. No OOMs. No overprovisioning.

## Thoras.ai Suggested Scaling

- **Min:** 1
- **Max:** 20
- **Current:** 15
- **Rec:** 4  
Thoras.ai suggests scaling 11 pods, predicting lower than average utilization over the next 15 minutes.

## Results You Can Expect

### 30–70% reduction from CPU and memory rightsizing  
### Zero Restarts for right-sizing adjustments on supported workloads  
### Achieve ~85% Utilization while reducing node scheduling inefficiencies and memory pressure.

## How It Works

### Entirely Air-Gapped & Installs In 15 minutes  
Data never leaves your cluster.

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### Tailored to Your Needs  
Thoras continuously analyzes CPU, memory, and request load across your services to understand when and how traffic actually spikes and ensure you have enough compute at the right time.

### ML-driven Predictions  
When demand is about to rise, we adjust resource requests before the spike, not after. When demand drops, we release the excess capacity you no longer need.

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### Automatically Right-sized  
No more manual sizing for max capacity. No threshold babysitting. Thoras keeps your pods fitted to actual demand autonomously, 24/7.

## Why Predictive Right-Sizing Matters

Most platforms watch your pods, wait for waste, then tell you to fix it. That’s not optimization. That’s delayed notification.

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### The VPA Problem  
Kubernetes VPA restarts pods to apply new resource settings. For single-replica workloads or latency-sensitive services, that’s a non-starter. Not only that, but VPA doesn’t play well with HPA. You often have to choose one or the other.

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### The Thoras Difference  
Thoras predicts demand minutes or hours ahead of time (can be user-defined). Predictions coupled with real-time monitoring drive our autonomous resource scaling horizontally, vertically, or both while also leveraging in-place rightsizing to scale without the need for restarts.

## Trusted by Engineers That Can’t Afford Mistakes

## Ready to optimize your bursty workloads?

See how Thoras.ai can reduce costs while improving performance for your variable demand applications.