The Road Ahead For Datacenter Compute Engines: The CPUs
It is often said that companies – particularly large companies with enormous IT budgets – do not buy products, they buy roadmaps. …
It is often said that companies – particularly large companies with enormous IT budgets – do not buy products, they buy roadmaps. …
Chip maker and enterprise software player Broadcom announced its financial results for the final quarter of its fiscal 2024 today, which ended on November third, and all we kept thinking about as chief executive officer Hock Tan went over the numbers was the question in the title above. …
There is no shortage of top-name – and even lesser known – companies pursuing the white whale of developing a quantum computer that can run workloads and solve problems that today’s most powerful classical computers simply can’t. …
Think of it as the ultimate offload model.
One of the geniuses of the cloud – perhaps the central genius – is that a big company that would have a large IT budget, perhaps on the order of hundreds of millions of dollars per year, and that has a certain amount of expertise creates a much, much larger IT organization with billions of dollars – and with AI now tens of billions of dollars – in investments and rents out the vast majority of that capacity to third parties, who essentially allow that original cloud builder to get their own IT operations for close to free. …
The minute that search engine giant Google wanted to be a cloud, and the several years later that Google realized that companies were not ready to buy full-on platform services that masked the underlying hardware but wanted lower level infrastructure services that gave them more optionality as well as more responsibility, it was inevitable that Google Cloud would have to buy compute engines from Intel, AMD, and Nvidia for its server fleet. …
It’s a multi-cloud world and one with a cloud infrastructure services market that is dominated by three large players. …
Here’s a question for you: How much of the growth in cloud spending at Microsoft Azure, Amazon Web Services, and Google Cloud in the second quarter came from OpenAI and Anthropic spending money they got as investments out of the treasure chests of Microsoft, Amazon, and Google? …
It has been more than a decade since Google figured out that it needed to control its own hardware fate when it came to the tensor processing that was going to be required to support machine learning algorithms. …
Three years ago, thanks in part to competitive pressures as Microsoft Azure, Google Cloud, and others started giving Amazon Web Services a run for the cloud money, the growth rate in quarterly spending on cloud services was slowing. …
It is not a coincidence that the companies that got the most “Hopper” H100 allocations from Nvidia in 2023 were also the hyperscalers and cloud builders, who in many cases wear both hats and who are as interested in renting out their GPU capacity for others to build AI models as they are in innovating in the development of large language models. …
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