EFFICIENCY

In terrestrial data centers, a large portion of energy utilization is attributed to non-compute related activities. Cooling systems can consume up to 40% of the total energy used within a data center, and other auxiliary systems such as power supply units consume approximately 25% of a server's power budget

StarBlades leverage the properties of space to minimize the proportion of energy used on non-compute related tasks.

In terrestrial data centers with 100,000+ nodes, failures are inevitable. However, current solutions such as check-pointing and recovery make computation increasingly inefficient as systems scale — on large-scale systems, approximately 35% of compute resources go to actual computation, with the rest spent on backup and recovery.

StarBlades maximize computational efficiency with hardware optimizations that are impractical to implement in terrestrial data centers.

The process of changing old hardware for new hardware is expensive and inefficient, requiring extensive compliance and control measures. Delays in the replacement of inefficient old servers incur increased costs in ESG, maintenance, and downtime. A 1% downtime rate as a result of old hardware can cost over $5 million per MW in high-value environments. Inversely, replacing equipment before EOSL creates significant financial waste, and early adopters of newer replacements face hidden costs from configuration issues, testing problems, and deployment challenges.

StarBlades maintain hardware compatibility across versions, increasing the cycle rate of improvements and extending the period over which capital expenditure can generate returns.