The common issues with RISC-V laptops, or rather any laptops made with SoCs that weren’t designed to be laptop-first, include things like sleep not putting the system in a low enough power state (battery will run out if you leave it folded without turning it off), underwhelming GPU, higher power draw when idle, and lower peak performance for intermittent load. If none of those are a dealbreaker, the newest DeepComputing Framework board (on K3) can arguably be considered a viable daily driver RISC-V laptop option, though I wouldn’t want to use it as one.
Nvidia, AMD, and Intel are the big names for GPUs and they all have products that integrate a GPU into the same SoC as the CPU, but none of them would be likely to license out their GPU IP to other SoC vendors in modern times. Same goes for the in-house GPU designs for Apple/Qualcomm/Samsung. ARM does license out its Mali GPU IP, and that’s often the go-to option for SoC vendors that don’t have their own in-house GPU, but RISC-V systems can’t use that. So RISC-V systems’ GPU options effectively amount to either:
- Use separate processors for your CPU and GPU. Desktop/server can just slot in a video card. Laptops in the 15-inch or larger space often solder a GeForce or Radeon chip to the board. Smaller 13-inch laptops normally don’t do this because of cooling and battery life concerns.
- License the integrated GPU from Imagination. That seems to be the only notable GPU offering available to license on non-ARM. Users don’t seem very fond of Imagination GPUs but they’re better than nothing.
- Pray that one of the companies with an established GPU portfolio decides to not only enter the RISC-V space but also makes a RISC-V processor that can be used in laptops. I think that’s unlikely and they’ll probably focus on server only.


RISC-V is designed to be an extensible instruction set, where the base is very minimal and reduced but a plethora of extensions exist. The ISA can be small for academic and microcontroller uses, large (more than a hundred extensions) for server uses, or anything in between.
Despite the name, a powerful RISC-V server can arguably not be considered “RISC”, though that term doesn’t have a single agreed-upon meaning and some design characteristics strongly associated with RISC still apply such as limiting memory access to dedicated load/store instructions only rather than allowing computation instructions to operate on memory.
Also, not everything is CPU instructions. Acceleration for media codecs, for example, normally means off-loading those tasks to the GPU rather than the CPU. Even if the CPU and GPU are both part of the same SoC, that doesn’t touch the CPU instruction set.