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. …
One only need look at the incredible revenues and profits of the datacenter business at Nvidia to know that the world’s biggest compute customers – the hyperscalers, the cloud builders, and now the biggest model builders – need to bend the price/performance curve to boost their own profits. …
When the hyperscalers and cloud builders were smaller and the Arm collective had failed to storm the datacenter and AMD was not yet on its path to resurgence, it was Intel that controlled the cadence of new compute engine introductions into the datacenter. …
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