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. …
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). …
For neural networks to expand into more areas in traditional supercomputing, especially in areas where image data is key, high image fidelity and accuracy are critical. …
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. …
SPONSORED SambaNova Systems is a technology startup founded in 2017 by a group of far-sighted engineers and data scientists who saw that the current approaches to AI and machine learning were beginning to run out of steam, and that an entire new architecture would be necessary in order to make AI accessible for everyone as well as deliver the scale, performance, accuracy and ease of use needed for future applications. …
SPONSORED In our first article in this short series we explored SambaNova Systems’ thesis that future advances in AI require a new architecture to handle new and highly demanding workloads. …
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). …
SPONSORED Businesses will need to adopt AI technologies not just because they can, but because they must – AI is the technology that will help businesses to be agile, innovate, and scale. …
…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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