DeepComputing 推出全新 RISC-V 主板
A new RISC-V Mainboard from DeepComputing

原始链接: https://frame.work/blog/introducing-a-new-risc-v-mainboard-from-deepcomputing

DeepComputing 推出全球首款合作伙伴打造的 Framework Laptop 13 主板,采用革命性的全新 CPU 架构 - RISC-V。 这标志着 Framework 生态系统的显着扩展,并使 RISC-V 触手可及。 这款笔记本电脑专为灵活性而设计,允许用户选择自己喜欢的 CPU 架构。 在即将举行的欧洲 RISC-V 峰会上,DeepComputing 计划展示一个原型。 RISC-V 是一种开放指令集架构 (ISA),与 x86 或 ARM 等封闭替代方案形成鲜明对比。 RISC-V 不依赖许可费用,而是依靠公司之间的协作来不断改进和扩展其功能。 它的简单性支持从微控制器到服务器的广泛应用。 RISC-V 支持的 Framework Laptop 13 主板采用 JH7110 处理器,其中四个 U74 内核分别来自 SiFive 和 StarFive。 尽管最初针对的是开发人员、修补者和业余爱好者,但后续几代产品的目标是提供有竞争力的性能和更广泛的兼容性。 它可以轻松装入任何 Framework Laptop 13 机箱。 除了发布 RISC-V 主板之外,DeepComputing 还展示了 Framework Laptop 13 外壳的开源 CAD 设计,鼓励社区创建皮肤、外壳和配件。 他们还提供打折的“Factory Seconds”型号,以便将预算输入系统。 凭借对开放生态系统的持续承诺,Framework 不断发展一个充满活力的新电子行业,植根于可访问性、可修复性和多功能性。

这些小型模块计算机 (SoM) 正在集成到笔记本电脑中,将其转变为 RISC-V 系统。 示例包括 Sipeed Lichee Console 4A、DC-Roma 2、Spacemit Muse Book、Banana Pi BPI-F3 等。 通过将这些 SoM 集成到笔记本电脑中,制造商的目标是创建可升级的设备,而不产生过多的电子废物。 然而,目前尚不清楚这些系统是否真正能提供比传统 SBC 或笔记本电脑显着的优势。 一些人认为,它们只是增加了对 RISC-V 技术的接触,并为使用框架平台的个人提供了有趣的项目。 此外,有关适销性和兼容性的担忧仍有待解决。 这些 RISC-V 笔记本电脑可能代表着计算领域朝着增强定制化和灵活性迈出的一步。
相关文章

原文

We’re excited to share a preview of a Framework Laptop 13 Mainboard with a new CPU architecture today, and it’s probably not the one you think it is. The team at DeepComputing has built the first ever partner-developed Mainboard, and it uses a RISC-V processor! This is a huge milestone both for expanding the breadth of the Framework ecosystem and for making RISC-V more accessible than ever. We designed the Framework Laptop to enable deep flexibility and personalization, and now that extends all the way to processor architecture selection. DeepComputing is demoing an early prototype of this Mainboard in a Framework Laptop 13 at the RISC-V Summit Europe next week, and we’ll be sharing more as this program progresses.

There is excellent philosophical alignment between RISC-V and Framework. Both are built on the idea that an open ecosystem is more powerful than the sum of its parts. To explain why, first we’ll go into what RISC-V even is. RISC-V is a fully open Instruction Set Architecture (ISA), which is the interface point between software and hardware. It’s a defined set of instructions that software is compiled and assembled into that the processor executes to run the actual program. x86 (or the latest version, x86-64) is the most common ISA for PCs today, and it’s what is used in the processors for each Framework Laptop we’ve shipped to date. The x86 ISA was invented by Intel, extended on by AMD, and is proprietary, with Intel and AMD being effectively the only two companies able to use and create processors around it. ARM is another popular ISA, owned by Arm Holdings. Arm licenses the ARM architecture out, which enables companies to pay a license fee for cores to make their own processors that leverage it. What makes RISC-V unique is that it is an entirely open architecture, which means that anyone can extend on it and create their own processors that use it without paying a fee. RISC-V International is the collaborative organization that exists to help develop the standard and define common versions to ensure cross-compatibility of hardware and software. There are hundreds of companies now developing cores and chips around RISC-V, but most of these have been hidden away in embedded applications. The DeepComputing RISC-V Mainboard is one of the first instances of leveraging this ecosystem for the main processor in a consumer-facing product.

All of this is what makes RISC-V unique from an ecosystem enablement perspective. The actual technology is equally interesting. The base instruction set of RISC-V is simple and streamlined, while there are a number of extensions enabling high performance and specialized compute. This means that RISC-V cores can be developed for anything from tiny control CPUs embedded inside a sensor (the Fingerprint Reader we’ve used in Framework Laptops since 2021 actually has a RISC-V core!) to monstrous multi-hundred-core server processors. The DeepComputing RISC-V Mainboard uses a JH7110 processor from StarFive which has four U74 RISC-V cores from SiFive. SiFive is the company that developed CPU cores using the RISC-V ISA, StarFive is the processor designer that integrated those CPU cores with other peripherals, DeepComputing created a Mainboard leveraging that processor, and Framework makes laptops that can use the Mainboard. The power of an open ecosystem!

This Mainboard is extremely compelling, but we want to be clear that in this generation, it is focused primarily on enabling developers, tinkerers, and hobbyists to start testing and creating on RISC-V. The peripheral set and performance aren’t yet competitive with our Intel and AMD-powered Framework Laptop Mainboards. This board also has soldered memory and uses MicroSD cards and eMMC for storage, both of which are limitations of the processor. It is a great way to start playing with RISC-V though inside of a thin, light, refined laptop. The Mainboard will be able to drop into any Framework Laptop 13 chassis or into the Cooler Master Mainboard Case. DeepComputing is also working closely with the teams at Canonical and Red Hat to ensure Linux support is solid through Ubuntu and Fedora. We’ll continue to keep you up to date as we work with the team at DeepComputing to complete development of this new Mainboard and enable access to it. You can sign up in the Framework Marketplace to get notified when we have updates.

We have a couple of other updates around scaling access to Framework Laptop 13. The first is that just like we did for Framework Laptop 16 last week, today we’re sharing open source CAD for the Framework Laptop 13 shell, enabling development of skins, cases, and accessories. The second is that we now have Framework Laptop 13 Factory Seconds systems available with British English and German keyboards, making entering the ecosystem more affordable than ever. We’re eager to continue growing a new Consumer Electronics industry that is grounded in open access, repairability, and customization at every level.

联系我们 contact @ memedata.com