#Mac system storage for speech is huge software#
"We also have a lower level software development kit that many of our HPC audience are using to add custom kernels into our compiler to bring to life not just to AI applications, but also HPC applications for a wide range of projects ranging from signal processing to physics based modelling and simulation," Hock said.ĭr Dieter Kranzlmüller, chair of the Board of Directors at LZR, said that the new system would be used to combine aspects of traditional HPC and AI processing for some applications. This is achieved through a compiler that allows users such as machine learning researchers and data scientists to develop in standard frameworks like TensorFlow, and PyTorch, and translates their code into an executable that can run on one or more CS-2 devices. "We know as researchers and scientists ourselves at Cerebras that a high performance computing platform is only good if it's easy to use, and we can only reach that broader user audience if we allow them to programme this machine with standard frameworks that they're using today," Hock said.
However, the key part of the whole system is the software stack, which Cerebras claims enables the LRZ scientists and researchers to use standard AI software tools to build code that will run on the CS-2. The Superdome Flex itself has 16 Intel Xeon processors with 12TB of system memory and 100TB of NVMe local storage.
In the new LRZ deployment, one CS-2 is linked using all those network ports to the HPE Superdome Flex via an SN3700M Switch using a fully non-blocking topology.
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