Methodology: Every two weeks we collect most relevant posts on LinkedIn for selected topics and create an overall summary only based on these posts. If you´re interested in the single posts behind, you can find them here: https://linktr.ee/thomasallgeyer. Have a great read!
AI Transparency and Efficiency Metrics
Google’s energy breakdown for Gemini apps highlighted rapid prompt-level efficiency gains and a sharper view on training versus inference impacts
Experts stressed standardized disclosure, pointing to comparable metrics and an emerging AI Energy Score to align reporting
Salesforce’s AI Sustainability Outlook emphasized trusted, reliable, sustainable AI practices as a prerequisite for scaled adoption
Guidance focused on right-sizing models, minimizing unnecessary compute, and aligning performance with footprint
Data Centers, Water, and Thermal impacts
Water use surfaced as a key variable, with calls to clarify WUE and to distinguish training from inference consumption
Cooling choices and siting were underlined, including the need to manage local externalities such as noise near residential areas
Investment momentum appeared with Vesper Infrastructure Partners backing Terakraft to develop a green AI data center
Workload placement in facilities with strong renewable supply and advanced cooling was reinforced as a near-term lever
Green Software and DevOps in Practice
DevOps was framed as a driver of sustainable IT through waste reduction, resource optimization, and automation discipline
Green software practices were tied to tangible business benefits via lower energy use and operational efficiency
Carbon-aware design patterns were promoted, including efficient code paths and demand shaping for lower-carbon execution windows
Frugal AI training initiatives supported a culture shift toward responsible compute consumption
Measurement, Tooling, and Observability
The tool stack featured AWS Compute Optimizer, AWS Customer Carbon Footprint Tool, Google Carbon Sense, Microsoft Cloud for Sustainability, Scaphandre, and Kubernetes Vertical Pod Autoscaler
Carbon observability was positioned as first-class, tracking energy per request and enabling footprint-informed SRE decisions
Practical checklists emphasized monitoring, eliminating idle capacity, and continuously tuning workload-to-infrastructure fit
Hardware Footprint and Lifecycle Insights
A comprehensive LCA of the NVIDIA A100 accelerated the conversation on hardware-level impacts and data collection rigor
Collaboration with lifecycle experts reinforced the need for component-level transparency to inform procurement and design choices
Enterprise Moves and Reference Cases
Port de Barcelona modernized on IBM LinuxONE to consolidate workloads, cut energy use, and harden security while scaling open, containerized platforms
An AI plus Energy startup cohort was announced to drive grid modernization and clean energy innovation across emerging use cases
Community, Governance, and Knowledge Sharing
The Jisc Digital Sustainability newsletter curated global signals, helping teams track policy, practice, and technology shifts
Accenture introduced the SAIQ metric to quantify AI’s return on sustainability and guide investment decisions
ASML hosted a meetup on embedding sustainability into software engineering, linking practitioners across disciplines
Green IO London announced a program on responsible technology with hands-on use cases and sector-specific GreenOps insights
Want to see the posts voices behind this summary?
This week’s roundup (CW 34/ 35) brings you the Best of LinkedIn on Sustainability & Green ICT:
→ 60 handpicked posts that cut through the noise
→ 32 fresh voices worth following
→ 1 deep dive you don’t want to miss