Pebble Falcon–autonomous right-sizer and carbon-aware K8s scheduler

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Hi HN — I’m Keval, part of the AI team behind Pebble Falcon. What it Pebble Falcon: Two long-running agents you deploy inside your k8s cluster. > PerfectFit: - Streams pod / VM / GPU utilization - Calculates head-room - Generates JSON patches to right-size CPU, memory and storage - Optional human-approval step > EcoAgent - Polls real-time grid-carbon feed and re-configures GPU nodes and pods to maximize clean energy use. - Re-queues batch jobs to the region with the lowest gCO₂/kWh that still meets your latency SLA A lightweight web UI shows cost saved, watts avoided and a 30-day projection. No data leaves the cluster; the only inbound feed is public carbon intensity. Why we built it: We kept seeing GPU nodes idling below 20 % while ETL jobs ran in high-carbon regions. Manual “rightsizing sprints” never caught up. Pilot result (40-node GPU cluster, 30 days) 70% idle compute removed 4160 kg CO₂ avoided (≈ six NYC→London flights) Pebble Falcon needs access to clusters so no public sandbox yet. Instead we recorded a 3-min overview of the agents. Video Demo: https://youtu.be/DTpHxAmVrAo However if you’re interested in trying it out, comment and we’ll get in contact and can add you to our pilot test: https://www.gopebble.com/sign-up AMA about energy, cost and compute aware scheduling for AI workloads.

Visit product View on Hacker NewsJun 24, 2025

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