High-performance computing (HPC) allows businesses to scale computationally to build deep learning algorithms that can take advantage of high volumes of data. With more data comes the need for larger amounts of computing needs with great performance specs. This is leading to HPC and AI converging, unleashing a new era.
Compared to traditional servers or cloud, HPC is quite different in terms of cost, computational power, specifications and architecture. Here are a few ways HPC is evolving to address AI challenges and how HPC can build better AI applications:
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