Argonne Deploying GPU-Dense Testbed Supercomputer
If not for delays, the long-awaited Aurora supercomputer at Argonne National Lab would likely just be coming online. …
If not for delays, the long-awaited Aurora supercomputer at Argonne National Lab would likely just be coming online. …
The term “mainstream” in the context of the largest systems on the planet still only means a select few. …
Argonne National Laboratory has become a must-watch lab for those following the convergence of supercomputing and AI/ML. …
The Edinburgh Parallel Computing Center (EPPC) is up and running with its Cerebras CS-1 waferscale system and is already working with European companies in biomedical and cybersecurity arenas in addition to its own research into different programming and AI models and projects in natural language processing and genome-wide association studies. …
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. …
Remember how, a few years ago, the chatter was that waferscale systems wouldn’t stand a chance? …
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. …
While securing the high-end particle physics market segment is not likely to push any of the AI/ML ASICS into competition with GPUs anytime soon, the chipmakers that can prove their value on some of the most demanding, real-time AI workloads can capture some serious mindshare. …
The battle for HPC centers and national labs is underway among the leading AI chip startups in the high-end datacenter space (Graphcore, Cerebras, and SambaNova in particular). …
…With performance comparable to the Nvidia V100 GPU, a common accelerator in HPC but better energy consumption numbers and memory bandwidth potential, Graphcore can turn heads in supercomputing.
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