Achieving exponentially cheaper training time with just a few lines of changes in existing ML pipelines


The new science of compute and energy efficient training: mimicking the sparsity of the human brain

Case Study: GPUs Or Old CPUs

Using the BOLT Engine to train billions of parameter neural networks on old refurbished desktops

BOLT Engine On Laptop

A 200 million parameter recommendation model can be trained on M1 laptops faster than A100 GPUs

Detailed Comparisons

Detailed comparison between the BOLT Engine and other standard machine learning alternatives

Importance Of Training

The time and cost to train models bottleneck traditional AI, but not BOLT