This is generally true for all accelerators (I work with cloud and on-prem FPGAs for my startup, Arbitrand).
However, lots of people only need those accelerators once in a while, so time sharing (aka cloud computing) makes a lot of sense and saves a ton of money overall. For FPGAs and some compute GPU applications, not having to handle support for your accelerators is also nice.
However, lots of people only need those accelerators once in a while, so time sharing (aka cloud computing) makes a lot of sense and saves a ton of money overall. For FPGAs and some compute GPU applications, not having to handle support for your accelerators is also nice.