While the analysis is definitely intresting, OP misses completely the point. And worst, this work becomes a joke. OP is not losing $780 because OP, thanks to Anthropic, is making far more money than without it. This does not wanna say that Claude should have current level of uptime, on the countrary, they should improve it but the point OP makes is plain wrong.
Readit Newsm4r1k commented on · Posted by u/Nerios
I deeply miss Steve Jobs
m4r1k commented on European troops arrive in Greenland to boost the Arctic island's security npr.org/2026/01/15/g-s1-1... · Posted by u/geox
As a European, this is genuinely alarming. Headlines like this make me feel that NATO is effectively over at best, and that war may be approaching at worst.
`”fundamental disagreement" between the Trump administration and European allies.`
m4r1k commented on Multiple explosions in Venezuela's capital Caracas cnn.com/2026/01/03/americ... · Posted by u/breppp
The Peace President Strikes Again.
m4r1k commented on US Confirms Strike on 'Big Facility' Inside Venezuela bloomberg.com/news/articl... · Posted by u/belter
The Peace President is about to bring war on Venezuela and destabilize the country (and probably with far reaching consequences in the region). Who would have thought?
Wow! As others have said, deal of the century!! As a side note, a few years back, I used to scrape eBay for Intel QS Xeon and quite a few times managed to snag incredible deals, but this is beyond anything anyone has ever achieved!
m4r1k commented on Palantir could be the most overvalued company that ever existed 247wallst.com/investing/2... · Posted by u/Anon84
Palantir is a shit show
m4r1k commented on Micron Announces Exit from Crucial Consumer Business investors.micron.com/news... · Posted by u/simlevesque
I have also bought Crucial for decades. Great quality and reliability for a fair price. Anybody doing anything semi-professional will be impacted by this questionable decision.
100 times more chips for equivalent memory, sure.
Check the specs again. Per chip, TPU 7x has 192GB of HBM3e, whereas the NVIDIA B200 has 186GB.
While the B200 wins on raw FP8 throughput (~9000 vs 4614 TFLOPs), that makes sense given NVIDIA has optimized for the single-chip game for over 20 years. But the bottleneck here isn't the chip—it's the domain size.
NVIDIA's top-tier NVL72 tops out at an NVLink domain of 72 Blackwell GPUs. Meanwhile, Google is connecting 9216 chips at 9.6Tbps to deliver nearly 43 ExaFlops. NVIDIA has the ecosystem (CUDA, community, etc.), but until they can match that interconnect scale, they simply don't compete in this weight class.
Google's real moat isn't the TPU silicon itself—it's not about cooling, individual performance, or hyper-specialization—but rather the massive parallel scale enabled by their OCS interconnects.
To quote The Next Platform: "An Ironwood cluster linked with Google’s absolutely unique optical circuit switch interconnect can bring to bear 9,216 Ironwood TPUs with a combined 1.77 PB of HBM memory... This makes a rackscale Nvidia system based on 144 “Blackwell” GPU chiplets with an aggregate of 20.7 TB of HBM memory look like a joke."
Nvidia may have the superior architecture at the single-chip level, but for large-scale distributed training (and inference) they currently have nothing that rivals Google's optical switching scalability.