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Compute Watch – Track cloud prices and availability of A100s and H100s

Hacker News

Compute Watch – Track cloud prices and availability of A100s and H100s

A few weeks ago I shared an H100/A100 availability post on HN ( https://news.ycombinator.com/item?id=36333321 ). But the capacity and prices change regularly! At first I was manually checking them and updating them on the page linked in the HN post above. But I didn't want to keep checking manually, and I wanted more data points, historical views, and more real time info. Siddharth who I work with built a small tool to do that. It's the best way to check live pricing and availability for Nvidia A100 and H100 GPUs. Pretty niche, but still kinda cool. Why these 3 clouds? I believe they are, for most people, the best places to rent on demand instances of H100s or A100s. (I've looked at quite a few GPU clouds! See: https://gpus.llm-utils.org/alternative-gpu-clouds/ ) If you happen to fall into the small niche that's interested in this, please let us know what you like about it! Would like to know: 1) What's most helpful? 2) What could be improved? 3) Which GPUs, and which clouds, should we add next?

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best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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