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