"How I discovered a hidden 146W power draw on NVIDIA A100 GPUs (and built an open‑source fix)”
An independent researcher discovered a hidden power draw of 146W on NVIDIA A100 GPUs, despite the telemetry reporting 0% utilization. This anomaly, termed 'ghost power', can lead to significant energy waste and incorrect scaling decisions in cloud environments. To address this issue, the researcher developed an open-source tool that detects these anomalies and benchmarks energy efficiency across various cloud providers.
- ▪The NVIDIA A100 GPU can draw 146W while reporting 0% utilization, leading to wasted energy.
- ▪The researcher conducted 35 hardware tests to validate the existence of ghost power specific to A100 GPUs.
- ▪An open-source tool was created to detect these anomalies and provide energy efficiency benchmarking.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/mikebains41debug/how-i-discovered-a-hidden-146w-power-draw-on-nvidia-a100-gpus-and-built-an-open-source-fix-1n8h |
| Publication time | Wed, 20 May 2026 02:17:23 +0000 |
| Retrieval time | 2026-05-20T02:34:58.982Z |
| Last seen | 2026-05-20T02:34:58.982Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | EETUl8DhBCNR |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3935300) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } mikebains41-debug Posted on May 20 "How I discovered a hidden 146W power draw on NVIDIA A100 GPUs (and built an open‑source fix)” #monitoring #opensource #performance #showdev How I discovered a hidden 146W power draw on NVIDIA A100 GPUs (and built an open‑source fix) TL;DR: nvidia-smi reported 0% utilization, but the GPU was drawing 146W. Standard telemetry lies. I built an open‑source detector and a new efficiency benchmark (CEI).
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).