Over the past decade, much of the focus with machine learning has been on CPUs and accelerators, primarily GPUs but also custom ASICs, with advances in the chip architecture aimed at boosting parallel math performance. …
Managing an aging nuclear weapons stockpile requires a tremendous – and ever-increasing – amount of supercomputing performance, and the HPC system business the world over is focused on this as much as trying to crack the most difficult scientific, medical, and engineering problems. …
Most of the large companies and institutions we cover here at The Next Platform have already been in the AI/ML trenches, particularly the hyperscale web and media companies (where much of this work began) and in high performance computing. …
While Hungarian banks with collective names like OTP Group might not have household recognition here in the U.S., …
When we hear about the massive GPT-3 language model, it is natural to assume it is open source and ready for the taking. …
There is a growing number of vendors big and small going hard to the hoop to make processors for artificial intelligence workloads. …
Artificial intelligence is taking center stage in the IT industry, fueled by the massive growth in the data being generated and the increasing need in HPC and mainstream enterprises for capabilities ranging from analytics and automation. …
If not for delays, the long-awaited Aurora supercomputer at Argonne National Lab would likely just be coming online. …
With the AI chip startup hype cycle spinning down from its feverish pace in 2018, giving way to 2021 expectations for real-world deployments, it still difficult to see which company will steal what little share is left in the Nvidia/Intel/AMD dominated datacenter. …
The San Diego Supercomputer Center (SDSC) will be preparing to put nearly ten racks of Habana AI hardware on the floor, marking the first time we have seen the AI chip startup (acquired by Intel in 2019) in force at any major supercomputing site. …
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