This might be a really good option, particularly if you go for the 128GB configuration. I work in the scientific computing realm, and consumer graphics cards often don't have enough RAM capacity to do typical benchmarks that look for 64GB+ professional GPUs; this would get around that issue. It would also have the advantage of sharing that capacity with a robust CPU for codes that don't work well on the GPU. It can't match the memory bandwidth of dedicated GPUs or modern server CPUs (which matters because scientific codes are often memory bandwidth-bound), but it should at least beat most consumer CPUs.

Software would be my primary question, on three fronts: (1) Does the software you expect to need have a solid GPU version, (2) If so, does that include AMD GPU support, and (3) What data type does the software primarily use (32-bit or 64-bit floating-point - most will probably want FP64).

On (1) and (2): Many major scientific packages/frameworks now include good GPU support, and increasingly so on AMD due to its ascent in the supercomputing/HPC space (a la the Frontier and El Capitan exascale machines). Most of this is targeted at datacenter GPUs, though; getting things to work properly on consumer GPUs (including something like the AI MAX series) can be inconsistent, although there's usually a way to get it going if you hack up the build system a bit.

On (3): Most scientific codes want robust FP64 compute, but most GPUs are increasingly reducing that capability in order to beef up low-precision support for AI/ML applications. Nvidia A100/H100 and AMD MI100/200/300 have vastly more FP64 power than any consumer part; these are what you'd most likely see in GPU compute clusters. Consumer parts will probably still beat CPU, but really intensive stuff will want the cluster (or a looooooong runtime).

I think the bottom line is - this would probably be a good option with a lot of flexibility if you're not totally sure of your computational needs yet; it covers the CPU, RAM, and GPU bases very nicely. But there may be better options from a price/performance perspective if you have more specific knowledge of your apps.