
Mainstream Waferscale Closer Than It May Appear
The term “mainstream” in the context of the largest systems on the planet still only means a select few. …
The term “mainstream” in the context of the largest systems on the planet still only means a select few. …
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. …
Remember how, a few years ago, the chatter was that waferscale systems wouldn’t stand a chance? …
Over the next year, we should get a good sense of how the Cerebras CS-1 system performs for dual HPC and AI workloads between installations at Argonne and Lawrence Livermore labs, EPCC, and the Pittsburgh Supercomputing Center (PSC). …
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). …
The long-held skepticism around wafer-scale architectures is deep and goes back decades. …
Few of the AI hardware startups that have made it through the first round of reality (roughly 2016 until the present) have managed to navigate the choppy waters without shifting course, sometimes wildly. …
One reason we’re watching Lawrence Livermore National Lab closely is because they are at the forefront when it comes to blending emerging HPC, deep learning, and edge technologies for applications that are representative of what’s next. …
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