We Can’t Get Enough HBM, Or Stack It Up High Enough
There are lots of ways that we might build out the memory capacity and memory bandwidth of compute engines to drive AI and HPC workloads better than we have been able to do thus far. …
There are lots of ways that we might build out the memory capacity and memory bandwidth of compute engines to drive AI and HPC workloads better than we have been able to do thus far. …
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. …
To AI or to not AI, that is not even a question in 2024. …
Every time Lisa Su, chief executive officer at AMD, announces a new Instinct GPU accelerator, the addressable market for AI acceleration in the datacenter seems to expand. …
If there is any market on Earth that is sorely in need of intense some competition, it is the datacenter GPU market that is driving the AI revolution. …
Back in the day, when the AI revolution was young, Nvidia co-founder and chief executive officer used to make the rounds with each new generation of datacenter GPUs and provide the first DGX systems based on any particular GPU to marquee customers. …
Over the past two years, enterprises have tried to keep up with the staggering pace of the innovation with generative AI, mapping out ways to implement the emerging technology into their operations in hopes of saving time and money, increasing productivity, improving customer service and support, and driving efficiencies. …
Neither scientific progress nor the budgetary process can wait for compute engine and interconnect roadmaps. …
The concrete has been poured and the first containers that will house the exascale-class “Jupiter” system at Forschungszentrum Jülich in Germany are being lifted into place for the modular datacenter that will be the home of the massive machine. …
It has become a well known fact these days that the switches that are used to interconnect distributed systems are not the most expensive part of that network, but rather it is the optical transceivers and fiber optic cables that comprise the bulk of the cost. …
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