edgetpu
steam-runtime
edgetpu | steam-runtime | |
---|---|---|
34 | 86 | |
397 | 1,153 | |
3.8% | 0.7% | |
2.7 | 6.6 | |
over 2 years ago | 7 months ago | |
C++ | Shell | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
edgetpu
- The Pixel 8 Pro's Tensor G3 off-loads all generative AI tasks to the cloud
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Chromebook Plus: more performance and AI capabilities
I know the tensor power pixelbook was shutdown and I never heard the actual reason just a bunch of speculation about costs/profitability which is probably true.
It's a shame that there isn't more competition and development in the neural asic world to harness the power of llms/generative AI on a low power, cheap hardware platform like the pixelbook line. For someone that invented the TPU they have done a not so great job of ensuring it's commercialization and support. Both on the hardware and software side.
The coral edge tpu seemed to be the right high level idea but without proper execution.
https://github.com/google-coral/edgetpu/issues/668
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Show HN: RISC-V core written in 600 lines of C89
> even in the 80s I wanted an FPGA accelerators in every machine
Mostly unrelated, but I recently discovered that you can buy TPUs, right now, as a consumer product, from https://coral.ai.
The stock firmware already allows you to run these things so hard they overheat, which is amazing.
But yes, I also want FPGA accelerators.
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Another PCIe A+E card in place of wifi in M900 tiny
I'm looking at the coral.ai cards and they have a M.2 A+E card, same form factor as the wifi slot in the m900 tiny. Has anyone tried another card in that slot other than wifi?
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Sony backs Raspberry Pi with fresh funding, access to A.I. chips
Chips optimized to perform the type of calculations used for NN inference at high parallelism. A good example would be the google spinoff https://coral.ai/ (though their usecase is highly limited by sub-par software constraints)
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Any ML accelarator chips?
By no means an expert, but I have seen prototypes using a raspberry pi and a dongle from Coral Ai. They have PCIE and USB based modules.
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Is Google coral getting abandoned
Last news on https://coral.ai/ was on May 5 2022
Activity on the github project seems to have stopped. https://github.com/google-coral
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Ask HN: Worth it to buy 4x Nvidia Tesla K40 for AI?
https://coral.ai/
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How do you effectively test accuracy of your software product?
Your problem statement still needs more clarification. If the above applies, the best way is to evaluate your ML-based pattern matcher on high-level scenarios. One approach to speed up the evaluation is to lift and shift the execution of scenarios into cloud. Another approach is to use an AI accelerator, such as http://coral.ai or other.
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Cluster AIs - low cost (lower performance) super/minicomputing
You probably could but not with raspis. Maybe the TPUs they sell. https://coral.ai/
steam-runtime
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One Game, by One Man, on Six Platforms: The Good, the Bad and the Ugly
> It turns out that unless the game is explicitly marked (by Valve reviewers), Steam Deck will use the Windows build + Proton even if a Linux version is available.
I found this which sounds like it's not the default, but is in fact a result of compatibility testing:
> If your game has gone through Steam Deck compatibility testing and the testers reported that the native Linux version didn't work (because of #579), then it might have been flagged to run the Windows binaries via Proton by default, instead of the native Linux version.
per https://github.com/ValveSoftware/steam-runtime/issues/585
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Chromebook Plus: more performance and AI capabilities
> Where is it written that steam-run will magically execute most binaries without patching them?
Somewhere in here: https://github.com/ValveSoftware/steam-runtime
:p
But I do get what you're saying. Once Flakes are default, I hope people start a proper push to clear up documentation and streamline the development process. The end-result is amazing, and the perfect OS/packaging system for my needs. The means of getting there... need a lot of work. I'm along for the ride either way.
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i386 in Ubuntu Won't Die
I think they have something a bit like a container built into Steam: https://github.com/ValveSoftware/steam-runtime
- Gaming on Linux easier on Debian based distros vs Arch based?
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How do you build games for Steam Linux Runtime?
this is for steamworks API, my understanding is there's a separate SDK for consuming Linux dependencies like glibc. Like Soldier runtime, Sniper runtime, and so on. Am I wrong in thinking these are two separate SDKs? here's the link to the other SDK I'm talking about: https://github.com/ValveSoftware/steam-runtime
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After 4 years of development, 100% on Linux, I've released my 2D sandbox RPG, Vagabond, in Early Access !
I'm not sure we can distribute a flatpak or an appimage through Steam. They have their own controlled environment called Steam Runtime (https://github.com/ValveSoftware/steam-runtime) in which I should compile to be sure it runs everywhere (very similar to what I am doing). Last time, I look at this, it wasn't very clear and they supported only old versions of GCC. But it seems the documentation improved and now that I succeeded in building a modern version of GCC in my own container, maybe I could do that in theirs.
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How to install old libraries on OTHER distro's than Debian?
I believe it's usable outside of Steam: https://github.com/ValveSoftware/steam-runtime though the instructions are not particularly clear. There's also a link to the APT repo they use as a reference: https://repo.steampowered.com/steamrt/
- Steam Desktop Client Update, Now with working hardware acceleration on linux!
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Recommended method to install Steam on Debian?
Looking at the Flatpak version, if you want to use Proton versions 5.13 or newer with Steam in Flatpak, you need to install Flatpak from backports https://github.com/ValveSoftware/steam-runtime/issues/294 . Using Flatpak saves having to install i386 if that matters to you.
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Wine 8.1
> Game developers would be fine to target a single distro like Ubuntu 22.04.
Valve has its own container-only Linux distribution, called "Soldier Runtime" (https://github.com/ValveSoftware/steam-runtime); especially for games distributed on Steam, it probably makes more sense to target that distribution instead of Ubuntu.
What are some alternatives?
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
flatpak - Linux application sandboxing and distribution framework
scrypted - Scrypted is a high performance home video integration and automation platform
dxvk-native - D3D9/11 but it runs natively on Linux!
frigate - NVR with realtime local object detection for IP cameras
Proton - Compatibility tool for Steam Play based on Wine and additional components
PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
flathub - Issue tracker and new submissions
yolov7_d2 - 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
SDL - Simple Directmedia Layer
Dual-Edge-TPU-Adapter - Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
steam-for-linux - Issue tracking for the Steam for Linux beta client