We can all talk until we are blue in the face about how weird it is for so much money to be spent on servers during the GenAI boom, but after reviewing the latest market report from IDC – which is one again but sporadically giving out some stats to the public – we thought that to feel the full impact of this change, we should draw you a picture of the past 26 years of server revenues by quarter so you can take it all in. …
We keep seeing the same thing over and over again in the AI racket, and people keep reacting to it like it is a new or surprising idea. …
Updated: We have obtained new information in the wake of publishing our story. …
The AI model makers of the world have been waiting for more than a year to get their hands on the Trainium3 XPUs, which have been designed explicitly for both training and inference and which present a credible alternative to Nvidia’s “Blackwell” B200 and B300 GPUs as well as Google’s “Trillium” TPU v6e and “Ironwood” TPU v7p accelerators. …
With a profitable PC business that has 25 percent of global shipments (thanks in large part to its acquisition of IBM’s PC business two decades ago) plus a respectable smartphone business (by virtue of its Motorola acquisition), the client device business at Lenovo is finally back to where it was during the peak of the coronavirus pandemic and is consistently delivering what are decent profits for this cut-throat part of the IT sector. …
Nvidia may have cornered the market for the compute engines and networks that link them to train GenAI models, and the company has a very large share of the platforms that do inference, too. …
Here’s a riddle for you: What’s the difference between an economic bubble and an economic transformation? …
There is a vicious cycle that comes from screwing up, but there is also a virtuous cycle that comes from digging yourself out of the hole and not only not screwing up anymore, but catching up to and then leapfrogging the competition through good engineering, hard work, and a little luck. …
Space has always been a premium in the datacenter, but the heat is on – quite literally – to drive up the density of GPU and XPU compute not just because real estate is expensive, but because latency is perhaps more expensive. …
Quantum computing is finally heating up. There is a heady mix of high-profile and highly resourced big tech players like Google, Microsoft, Amazon Web Services, and Nvidia either building QPUs, simulating them, or integrating them with classical supercomputers in addition to well-funded younger companies and startups, such as QuEra, IonQ, Quantum Computing, Quantinuum, D-Wave, and Alice & Bob. …
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