Genomics is defined as the science of studying an organism’s complete genome, which includes all of its genes. It involves mapping and sequencing these genes to gain a better understanding of how they interact with each other and the environment. Through genomics, researchers are able to identify genetic traits and link them to diseases, as well as find ways to diagnose and treat them. Genomics has also been used in agriculture for identifying ideal characteristics in crop plants and animals that can be used in breeding programs. Ultimately, this field of research helps us understand more about life on Earth and how we can use it for our benefit. 

In the field of genomics, deep learning is being employed to automate processes that were previously done manually or with fewer resources. This includes analyzing large genomic datasets faster and with greater accuracy than traditional methods would allow. As research advances in this area, deep learning could play an even bigger role in unlocking the potential of genomics for improving healthcare outcomes.  

Powerful compute enables effective algorithms; powerful compute and effective algorithms together drive new possibilities of scientific discovery. To provide the compute power needed to work with ever larger LLMs (and more capabilities to come), we built the Cerebras Wafer-Scale Cluster. The cluster allows many CS-2 systems to be used efficiently, in parallel, to speed up training dramatically. The largest Cerebras Cluster built to date is Andromeda, which has a remarkable 13.5 million AI-optimize compute cores spread across 16 CS-2 nodes.