Borrowed Iron Scoreboard
What the borrowed 8xH100 node is doing right now: the compute it can throw, the iron it is built from, the tokens it pulls through an open model, and what the autonomous research engine produces with it. The series argues for renting frontier iron and running it hot. This is the live proof, refreshed daily.
To scale: roughly 233 maxed MacBook Pros of raw AI compute, 5x a MacBook’s whole memory in GPU VRAM alone, and about 50x the memory bandwidth. Back-of-envelope, by peak throughput.
all lanes working
last 24h
served, single stream
of the borrowed window
Eight lanes of borrowed iron. The warm brain answers ARIA, a filler keeps idle cards busy, the rest grind encoder training. Exact per-lane load fills in on the daily live read.
Each lane bundles 13 of the 208 logical cores. The host CPUs stage terabytes of retinal data and feed the GPUs, so they run warm even while the iron does the heavy lifting.
last 24h
and counting
Almost all of it is prompt. ARIA is a reader: it pulls that much context through our own open-source Qwen3.6 27B on GPU 0, kept warm around the clock at 287+ tokens a second on one card. Fan the queries out and the node pushes past 8,000 tokens a second flat out. No API meter running.
Those tokens ran on our own iron for $0 in API fees. The same 517.7M tokens on a commercial API, at list input prices:
last 2 days
config-path run-success, trending
Live as of Jul 1, 2026, 05:00 AM UTC, auto-refreshed daily
Petaflops are FP8 dense tensor throughput for 8 H100 SXM cards. Numbers come from the project build log plus a daily read of the node. No credentials or private data are exposed here.
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Enjoyed the breakdown on the Borrowed Iron scoreboard? New entries land roughly weekly. No digest, no roundup. Just the next build log, when it ships.