
A Deep Dive Into Datacenter And Server Spending Forecasts
Spending on AI systems in 2024 just utterly blew by the expectations of the major market researchers and those who dabble in metrics like we do. …
Spending on AI systems in 2024 just utterly blew by the expectations of the major market researchers and those who dabble in metrics like we do. …
Two decades ago, the hyperscalers and cloud builders started remaking the Ethernet switch market in the datacenter in their own image, and now it looks like AI training and inference is going to morph Ethernet switching in the datacenter once again. …
The IT infrastructure market is undergoing its own kind of climate change thanks to the overheating of the market due to the GenAI boom. …
The original design manufacturers, or ODMs, as well as the portions of the original equipment manufacturers, or OEMs, that act like ODMs in that they create custom machines for hyperscalers and cloud builders and sell that at high volume and low margin, have long since taken over the server market. …
The AI boom is going sonic, and it looks like we had all better cover our ears if we want to be able to hear by the end of the holiday season if the prognostications of the box counters at IDC are correct. …
No one like the R word, but we don’t shy away from data and calling it like we see it. …
For a decade before the generative AI boom took off in late 2022, classical artificial intelligence, used for all kinds of self-learning predictive algorithms, was destined to be a very large component of the IT stack at most organizations in the world. …
Everybody knows that companies, particularly hyperscalers and cloud builders but now increasingly enterprises hoping to leverage generative AI, are spending giant round bales of money on AI accelerators and related chips to create AI training and inference clusters. …
When you have to compile the revenue streams of thousands of major IT hardware, software, and services suppliers into the datacenter, it takes a bit of time to get that data, get it right, and then aggregate it for a datacenter market analysis. …
We have a long-standing joke that dates from the early 2000s, when the hyperscalers – there were not yet cloud builders as we now know them – started having hundreds of millions of users and millions of servers and storage arrays to run applications for them at the same time there was the beginnings of consolidation among the OEMs who created the servers and storage used by nearly all enterprises, including dot-com startups. …
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