You’d have two separate sets of cores. The general purpose cores will have all the usual extensive you’d expect. Meanwhile, the GPU cores will be simple cores

You’d have two separate sets of cores. The general purpose cores will have all the usual extensive you’d expect. Meanwhile, the GPU cores will be simple cores with huge vector engines. This honestly seems somewhat similar to RDNA at a high level where you have a large SIMD unit with a scalar cores for branching and one-off calculations. The big payoff is cohesiveness. Your RISC-V GPU shares the same memory model as your CPU. This should have a payoff in easy integration. Likewise, sharing a good permission model can probably help with all those GPU exploits in third-party code (like webGL).