More details: <a href="https://x.com/sweis/status/2101484464807596264" rel="nofollow">https://x.com/sweis/status/2101484464807596264
I had Claude port CADO-NFS to run on GPUs. Then it orchestrated a fleet to run on scavenged idle capacity. It ran with a max of 2048 GPUs for about of 30 GPU-years over 10 days.
I asked Claude if it had a message for a public: “The credit belongs first to the people who built the number field sieve and CADO-NFS over several decades, and to the teams who set the earlier records. This run used their algorithm and much of their code.”
Also to clarify:
- No new algorithmic factoring improvements.
- It’s still exponential.
- No new threats to deployed keys.
Back of the envelope.. 1024 bit keys with recordings of not too old data can probably be found (MS only deprecated them in 2024 even if they planned on it in 2013)
How long would it take for NSA to crack them if they had say the equivalent of a million GPU's? (either GPU's or crypto tuned ASICs)
A sufficiently motivated person with a good thermal camera and a cessna 172, entirely within the bounds of the law, could probably make an estimate of the waste heat from this, and then calculate backwards for how much compute power it is.
Except that's the "Massive Data Repository" which is mostly just about hoarding mass surveillance data. (Unless of course that's what THEY want us to think!)
A better approximation can probably be had by comparing against the performance of the top ones at <a href="https://top500.org/" rel="nofollow">https://top500.org/
madars · · focus · HN ↗
whizzter · · focus · HN ↗
Back of the envelope.. 1024 bit keys with recordings of not too old data can probably be found (MS only deprecated them in 2024 even if they planned on it in 2013)
How long would it take for NSA to crack them if they had say the equivalent of a million GPU's? (either GPU's or crypto tuned ASICs)
walrus01 · · focus · HN ↗
<a href="https://en.wikipedia.org/wiki/Utah_Data_Center" rel="nofollow">https://en.wikipedia.org/wiki/Utah_Data_Center
maqp · · focus · HN ↗
A better approximation can probably be had by comparing against the performance of the top ones at <a href="https://top500.org/" rel="nofollow">https://top500.org/