THE METER
SECTION 03
ISSUE 001
Energy-Aware Inference Schedulers
Projection: The IEA models electricity supply, security, emissions, and affordability around data-center demand; NVIDIA exposes independently routable serving pools and caches. Schedulers could place flexible inference by energy price, cooling, carbon, and latency. The test is lower system cost or impact without violating response-time commitments.
Why this idea is here
What the evidence establishes.
The IEA models datacenter electricity demand, projects the energy sources needed to supply it, and analyzes implications for security, emissions, innovation, and affordability; NVIDIA documents separately scalable prefill and decode pools, KV-state transfer, cache-aware routing, and distributed inference. These are source-backed premises for this inference; they do not by themselves prove broad adoption or the eventual outcome.
Source ledger
Read the sources.
- S01Energy and AI
intergovernmental research report / published 2025-04-10 / retrieved 2026-07-09
- S02NVIDIA Dynamo: Disaggregated Serving
official technical documentation / published 2026-07-09 / retrieved 2026-07-09