DevZero vs. Cast AI
Overview#
Both DevZero and Cast AI help organizations reduce Kubernetes costs, but they take fundamentally different approaches to optimization.
How They Compare#
| Feature | DevZero | Cast AI |
|---|---|---|
| Optimization Approach | Live rightsizing with zero-downtime migration | Node-level autoscaling and instance optimization |
| Pod Restarts Required | No — uses CRIU for live migration | Yes — VPA requires pod restarts |
| GPU Optimization | Full GPU support including MIG and checkpoint/restore | Limited GPU optimization |
| Bin Packing | Intelligent bin packing with live consolidation | Basic bin packing through node optimization |
| Autoscaling | Predictive scaling with ML-based forecasting | Reactive autoscaling |
| Cloud Support | AWS, Azure, GCP | AWS, Azure, GCP |
| Typical Savings | 40-80% cost reduction | 30-50% cost reduction |
| Time to Value | 24 hours to first savings | Days to weeks |
Key Differences#
Live Rightsizing vs. Traditional Autoscaling#
DevZero uses CRIU (Checkpoint/Restore in Userspace) technology to adjust resource allocation without restarting pods. This means no disruption to running workloads, no cache invalidation, and no connection drops. Cast AI relies on traditional VPA which requires pod restarts to apply new resource settings.
GPU-Native Optimization#
DevZero provides dedicated GPU optimization capabilities including NVIDIA MIG partitioning, checkpoint/restore for training workloads on spot instances, and GPU-aware bin packing. Cast AI focuses primarily on CPU and memory optimization.
Predictive vs. Reactive#
DevZero uses machine learning to predict resource needs based on historical patterns, scaling proactively before demand increases. Cast AI reacts to current metrics, which can lead to temporary resource shortages during traffic spikes.
When to Choose DevZero#
- You need zero-downtime optimization for production workloads
- You run GPU workloads (AI/ML training and inference)
- You want predictive scaling based on historical patterns
- You need to achieve 40-80% cost reduction
When to Choose Cast AI#
- You primarily need node-level autoscaling
- Your workloads can tolerate pod restarts
- You're focused on instance type selection optimization
Get Started#
Try DevZero free and see your potential savings within 24 hours.