1. Smarter code: less energy, more impact
Optimising algorithms, reducing data loops, and using memory efficiently all contribute to lower runtime power consumption.
- AI model training can be fine-tuned with more efficient frameworks or pruning techniques that reduce compute cycles.
- Batching tasks and caching data effectively lowers cloud resource calls and redundant processing.
- Lightweight backend processes save energy in high-volume transactional environments like finance and e-commerce.
2. Carbon-aware cloud routing: infrastructure with intelligence
Not all cloud data centres are created equal. Their carbon intensity varies depending on regional grid mix, time of day, and energy efficiency measures. Enterprises that route workloads through cloud regions powered by cleaner energy can significantly reduce their carbon footprint.
- Modern platforms support location-shifting—selecting regions with greener electricity in real time. They can also incorporate time-shifting, running non-urgent workloads during periods when renewable energy share is highest.3
- Routing decisions can balance both performance and carbon signals, so sustainability doesn’t come at the cost of speed.3
- Singtel’s Paragon platform enables this orchestration at scale—matching workload requirements with carbon-optimised compute across regional data centres.4
3. Smarter workload placement: Dynamic and emissions-aware
Where and when your workloads run matters. By dynamically shifting tasks based on carbon intensity forecasts and available compute efficiency, businesses can take a proactive approach to sustainability.
- High-carbon tasks can be deferred or moved to off-peak hours when renewable energy is more available.
- Paragon-enabled orchestration helps enterprises match workloads with infrastructure offering the lowest environmental impact—without compromising SLAs.5
Integration with SD-WAN and IoT insights provides additional layers of control, enabling granular optimisation based on device, region, and business priority.6
