I've worked in the area of clinical genomics using whole genome sequencing. Your statement is unfortunately untrue though it perhaps could be if tools were better written.

While it is easy enough to analyze a single genome on your laptop most current popular analytical tools simply fall over when you start looking at hundreds of genomes on even a large server. Even basic stuff like combining multiple genomes into one file with consistent naming of variants can take entirely ridiculous multi terabyte amounts of ram because the tools to do so just weren't written with this scale in mind.

Most of these tools could (and should) be rewritten to do things without loading the whole data set in memory and work natively in a cluster of commodity clusters. There is some resistance to this of course because scientists prefer to use the published and established methods and often feel new methods need to be published and peer reviewed etc.

Until new tools are written and widely adopted to a large shared memory machine is a bandaid many hospitals and research seam eager to adopt.