Despite these inherent challenges, accurate spike sorting is essential for uncovering the mechanisms that shape brain-wide patterns of activity. As experiments expand to include more probes and recordings over many days of natural behavior (Campagner et al., 2025; Dhawale et al., 2017; Newman et al., 2025), spike sorting becomes impossible to sustain without large-scale parallelization. The implementation of our pipelines was facilitated by three established technologies: Nextflow (Di Tommaso et al., 2017), SpikeInterface (Buccino et al., 2020), and Code Ocean (Cheifet, 2021). Our approach integrates the innovations of our core spike sorting pipeline to enable practical benchmarking of hybrid large-scale electrophysiology datasets. We then provide an overview of our core spike sorting pipeline, which has already processed data from more than 1000 multi-probe recordings.