Fathom Computing is developing high-performance machine learning computers, built to run both training and inference workflows for very large scale artificial neural networks.

 

Data movements, not logic operations, are the bottleneck in computing. Fathom's all digital electro-optical architecture focuses innovation precisely in this area, enabling orders of magnitude more data bandwidth at the chip, rack, and warehouse-scale. This high-bandwidth architecture results in ML performance improvements significantly beyond what is possible in electronics-only systems.

 

One of our long-term goals is to build the hardware to train neural networks with the same number of parameters as the human brain has synapses (>100 trillion).