RISC-V mini AI PC that fits inside a Framework laptop shell revealed — DeepComputing's DC-ROMA RISC-V AI PC claims 50 TOPS, 64GB RAM

Image of the DC-ROMA RISC-V AI PC, used within a Framework Laptop 13.
(Image credit: DeepComputing)

DeepComputing has developed a reputation as a pioneer of small form factor RISC-V PCs, being the first company to bring a RISC-V laptop to the market in 2022. The company is now accepting pre-orders for its newest product, a mini AI PC that can replace the mainboard of the Framework Laptop 13.

The new device comes with two names: either the "DC-ROMA RISC-V AI PC" or the "DC-ROMA RISC-V Mainboard II for Framework Laptop 13" according to its listing page. The mainboard is one of many members of DeepComputing's DC-ROMA line, a family of SFF/laptop PCs all built on the RISC-V architecture set. It is also DeepComputing's second replacement mainboard for the Framework Laptop 13, with both the RISC-V AI PC and its predecessor functioning either inside the Framework or on its own as a stand-alone unit.

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Sunny Grimm
Contributing Writer

Sunny Grimm is a contributing writer for Tom's Hardware. He has been building and breaking computers since 2017, serving as the resident youngster at Tom's. From APUs to RGB, Sunny has a handle on all the latest tech news.

  • SonoraTechnical
    not trying to be intentionally dense.... I jsut don't know the answer to this question... What readily available open source OS do you install on this?
    Reply
  • Jaack18
    SonoraTechnical said:
    not trying to be intentionally dense.... I jsut don't know the answer to this question... What readily available open source OS do you install on this?
    Some flavor of Linux
    Reply
  • usertests
    VPUs are an emerging type of microprocessor devoted to vision-based machine learning tasks, distinct from GPUs as they have no rasterization or video encoding abilities.
    Were Intel's ancient versions of GNA capable of doing this stuff, or was it only when they added an NPU and "VPU" to Meteor Lake?

    I don't think this type of workload needs much performance.
    Reply
  • bit_user
    usertests said:
    Were Intel's ancient versions of GNA capable of doing this stuff, or was it only when they added an NPU and "VPU" to Meteor Lake?
    The GNA was too weak to do machine vision, I think. I'm not aware of any publicly available specs on it.

    usertests said:
    I don't think this type of workload needs much performance.
    Depends on what sort of model you run, but I'd say it's generally on the order of at least a couple TOPS. Not the simplest image classifiers, but if you run any sort of YOLO-type model that can detect & classify multiple objects, as well as tell you where they are.
    Reply