rust-raspberrypi-OS-tutorials
firecracker
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rust-raspberrypi-OS-tutorials | firecracker | |
---|---|---|
26 | 75 | |
12,954 | 24,024 | |
2.1% | 1.7% | |
6.3 | 9.9 | |
3 months ago | 7 days ago | |
Rust | Rust | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rust-raspberrypi-OS-tutorials
- Operating System Development Tutorials in Rust on the Raspberry Pi
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How would you build an operating system? (SerenityOS with Andreas Kling)
I am very interested in this tutorial for building an OS for the Raspberry Pi in Rust: https://github.com/rust-embedded/rust-raspberrypi-OS-tutoria...
I'd love to try it out when (if ever) I have the time.
- M1 crate
- OS development tutorials in Rust on the Raspberry Pi
- Embedded Rust Development
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Has anyone programmed a Raspberry Pi with Rust?
I like rust, low level and embedded hacking so I programmed a simple "kernel", based on this: https://github.com/rust-embedded/rust-raspberrypi-OS-tutorials
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Can you learn and be good at programming by imitating codes?
So every week, I basically followed along these tutorials. I didn't even made an effort to fully understand the code I was copying, as I just didn't want to waste mental energy on it as I wanted that energy and time wasted on my focus at the time (C++ and JS). I did that for like a year, doing 1-3 tutorials/week from that site. Over the course of it, I got to build web apps, several compilers, several games mostly board games/3d shooters/2d multiplayer games, raytracers, peer to peer apps, building a networking stack, bots, blockchain apps, servers, PGP encryption, E2E encryption apps such as for messaging, built a NES emulator, virtual machines, simulators and graphics programming, etc. I'd say the longest one was learning to build a tiny OS on raspberry pi
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Linux booting raspberry via USB?
Hello everyone, I'm not sure if this is possible, but I'll give it a shot. I have a raspberry PI zero and a linux host pc. I am trying to run stuff on the raspberry on bare metal, no OS below it (using this tutorial https://github.com/rust-embedded/rust-raspberrypi-OS-tutorials/). Now in the tutorial 4 there is a step "flash the kernel onto SD card and insert the SD card into the raspberry". Now, given my lack of SD card adapter (I'm also curious) I wanted to ask if it is possible to deliver this kernel onto the raspberry without the SD card using USB.
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Writing a “bare metal” operating system for Raspberry Pi 4
I believe it already exists: https://github.com/rust-embedded/rust-raspberrypi-OS-tutorials
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Tutorial: Writing a “bare metal” operating system for Raspberry Pi 4
Is this just an alternative UI for GitHub but without the files? Am I missing something obvious? I'm confused.
Actual github repo for anyone looking for the files: https://github.com/rust-embedded/rust-raspberrypi-OS-tutoria...
firecracker
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Lambda Internals: Why AWS Lambda Will Not Help With Machine Learning
This architecture leverages microVMs for rapid scaling and high-density workloads. But does it work for GPU? The answer is no. You can look at the old 2019 GitHub issue and the comments to it to get the bigger picture of why it is so.
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Show HN: Add AI code interpreter to any LLM via SDK
Hi, I'm the CEO of the company that built this SDK.
We're a company called E2B [0]. We're building and open-source [1] secure environments for running untrusted AI-generated code and AI agents. We call these environments sandboxes and they are built on top of micro VM called Firecracker [2].
You can think of us as giving small cloud computers to LLMs.
We recently created a dedicated SDK for building custom code interpreters in Python or JS/TS. We saw this need after a lot of our users have been adding code execution capabilities to their AI apps with our core SDK [3]. These use cases were often centered around AI data analysis so code interpreter-like behavior made sense
The way our code interpret SDK works is by spawning an E2B sandbox with Jupyter Server. We then communicate with this Jupyter server through Jupyter Kernel messaging protocol [4].
We don't do any wrapping around LLM, any prompting, or any agent-like framework. We leave all of that on users. We're really just a boring code execution layer that sats at the bottom that we're building specifically for the future software that will be building another software. We work with any LLM. Here's how we added code interpreter to Claude [5].
Our long-term plan is to build an automated AWS for AI apps and agents.
Happy to answer any questions and hear feedback!
[0] https://e2b.dev/
[1] https://github.com/e2b-dev
[2] https://github.com/firecracker-microvm/firecracker
[3] https://e2b.dev/docs
[4] https://jupyter-client.readthedocs.io/en/latest/messaging.ht...
[5] https://github.com/e2b-dev/e2b-cookbook/blob/main/examples/c...
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Fly.it Has GPUs Now
As far as I know, Fly uses Firecracker for their VMs. I've been following Firecracker for a while now (even using it in a project), and they don't support GPUs out of the box (and have no plan to support it [1]).
I'm curious to know how Fly figured their own GPU support with Firecracker. In the past they had some very detailed technical posts on how they achieved certain things, so I'm hoping we'll see one on their GPU support in the future!
[1]: https://github.com/firecracker-microvm/firecracker/issues/11...
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MotorOS: a Rust-first operating system for x64 VMs
I pass through a GPU and USB hub to a VM running on a machine in the garage. An optical video cable and network compatible USB extender brings the interface to a different room making it my primary “desktop” computer (and an outdated laptop as a backup device). Doesn’t get more silent and cool than this. Another VM on the garage machine gets a bunch of hard drives passed through to it.
That said, hardware passthrough/VFIO is likely out of the current realistic scope for this project. VM boot times can be optimized if you never look for hardware to initialize in the first place. Though they are still likely initializing a network interface of some sort.
“MicroVM” seems to be a term used when as much as possible is stripped from a VM, such as with https://github.com/firecracker-microvm/firecracker
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Virtual Machine as a Core Android Primitive
According to their own FAQ it is indeed: https://github.com/firecracker-microvm/firecracker/blob/main...
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Sandboxing a .NET Script
What about microVMs like firecracker?
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We Replaced Firecracker with QEMU
Dynamic memory management - Firecracker's RAM footprint starts low, but once a workload inside allocates RAM, Firecracker will never return it to the host system. After running several workloads inside, you end up with an idling VM that consumes 32 GB of RAM on the host, even though it doesn't need any of it.
Firecracker has a balloon device you can inflate (ie: acquire as much memory inside the VM as possible) and then deflate... returning the memory to the host.
https://github.com/firecracker-microvm/firecracker/blob/main...
- I'm looking for a virtual machine that prioritizes privacy and does not include tracking or telemetry.
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Neverflow: Set of C macros that guard against buffer overflows
Very few things in those companies are being written in Rust, and half of those projects chose Rust around ideological reasons rather than technical, with plenty of 'unsafe' thrown in for performance reasons
https://github.com/firecracker-microvm/firecracker/search?q=...
The fact that 'unsafe' even exists in Rust means it's no better than C with some macros.
Don't get me wrong, Rust has it's place, like all the other languages that came about for various reasons, but it's not going to gain wide adoption.
Future of programming consists of 2 languages - something like C that has a small instruction set for adopting to new hardware, and something that is very high level, higher than Python with LLM in the background. Everything in the middle is fodder.
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Do you use Rust in your professional career?
https://github.com/firecracker-microvm/firecracker is the one that comes to mind, but most of these are internal.
What are some alternatives?
tauri - Build smaller, faster, and more secure desktop applications with a web frontend.
cloud-hypervisor - A Virtual Machine Monitor for modern Cloud workloads. Features include CPU, memory and device hotplug, support for running Windows and Linux guests, device offload with vhost-user and a minimal compact footprint. Written in Rust with a strong focus on security.
rppal - A Rust library that provides access to the Raspberry Pi's GPIO, I2C, PWM, SPI and UART peripherals.
bottlerocket - An operating system designed for hosting containers
redox - Mirror of https://gitlab.redox-os.org/redox-os/redox
gvisor - Application Kernel for Containers
rpi4-osdev - Tutorial: Writing a "bare metal" operating system for Raspberry Pi 4
libkrun - A dynamic library providing Virtualization-based process isolation capabilities
serenity - The Serenity Operating System 🐞
krunvm - Create microVMs from OCI images
buildroot - Buildroot, making embedded Linux easy. Note that this is not the official repository, but only a mirror. The official Git repository is at http://git.buildroot.net/buildroot/. Do not open issues or file pull requests here.
deno - A modern runtime for JavaScript and TypeScript.