Green IO New York 2026
who it's for
sustainability engineers, cloud architects, infrastructure engineers, ml engineers, data center operators, site reliability engineers, product managers
topics
cloud carbon footprint measurement; supplier carbon disclosure portals; sustainability certification patterns; model sizing and carbon TCO; quantized LLM inference; edge LLM benchmarking; workload scheduling for carbon; green ops tooling; data center water and coolant impacts; enterprise application portfolio rationalization
| title | author | length |
|---|---|---|
| Lessons learned leading sustainability tech at Microsoft and Amazon. | Natalie Hollier | 29m |
Built an open source meter called Cloud Carbon Footprint that measures emissions from AWS Google and Azure and launched an enterprise product called Microsoft… | ||
| Sustainable Architectures and Responsible AI. | Lisa Pratico | 19m |
Global IT demand hits 536 terawatts for 2025–26 and data centers use ~6% of US electricity, with AI driving projected water use of 4.2–6.6 billion m3 by 2027… | ||
| GAMING: Benchmarking Sustainable LLM Deployment on Edge Devices | Fatima Rani | 20m |
Framework benchmarks edge LLM inference across device, cloud CI/CD and edge engine layers, measuring p50/p95 latency, throughput, GPU/RAM utilization, power… | ||
| “Wait! What?” When the Sustainability Team Starts to Measure the Emissions [...] | Susanna Hill | 19m |
Many mainstream cloud apps and AI features publish no carbon data, leaving sustainability teams unable to measure cloud emissions for scope 3. Projects require… | ||
| AI Data Centers and the 21st Century Sacrifice Zone. | Masheika Allgood | 17m |
AI data centers generate measurable harms: diesel backup arrays with 36 generators and 9,200‑gallon tanks (331,000 gallons on site), clusters of high‑voltage… | ||
| nothing matches | ||