You cannot reduce total compute costs by running slower machines for longer; the total compute time—and therefore the cost—remains effectively the same. This article explains why and how we focus on finishing your tasks as quickly as possible.
Understand how compute time scales
Whether you use faster machines for a short period or slower machines for a longer period, the total compute time consumed remains about the same. Because costs are driven by the total CPU/GPU time required, extending the duration on slower hardware does not lower the overall cost.
How we optimize for speed and efficiency
We aim to complete every task as quickly as possible and continuously enhance performance to reduce wait times without increasing costs.
- Streamline processing to remove overhead and bottlenecks.
- Improve algorithms and scheduling for better throughput.
- Optimize resource utilization to maintain consistent efficiency.