32
I watched Nvidia's Computex 2024 keynote and it made my blood run cold
(www.techradar.com)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 30 Jul 2024
32 points (100.0% liked)
technology
23308 readers
187 users here now
On the road to fully automated luxury gay space communism.
Spreading Linux propaganda since 2020
- Ways to run Microsoft/Adobe and more on Linux
- The Ultimate FOSS Guide For Android
- Great libre software on Windows
- Hey you, the lib still using Chrome. Read this post!
Rules:
- 1. Obviously abide by the sitewide code of conduct. Bigotry will be met with an immediate ban
- 2. This community is about technology. Offtopic is permitted as long as it is kept in the comment sections
- 3. Although this is not /c/libre, FOSS related posting is tolerated, and even welcome in the case of effort posts
- 4. We believe technology should be liberating. As such, avoid promoting proprietary and/or bourgeois technology
- 5. Explanatory posts to correct the potential mistakes a comrade made in a post of their own are allowed, as long as they remain respectful
- 6. No crypto (Bitcoin, NFT, etc.) speculation, unless it is purely informative and not too cringe
- 7. Absolutely no tech bro shit. If you have a good opinion of Silicon Valley billionaires please manifest yourself so we can ban you.
founded 4 years ago
MODERATORS
I remember hearing about coral when it first came out, and it is exactly what I want to see more of. Low-cost, efficient AI accelerators for home use. I haven't personally used it but I have used Nvidia's Jetson Nano, which is similar but more power hungry. Coral does has some issues though, namely that you are locked into tensorflow lite (a similar issue with the Jetson series, but less bad since you can translate models into tensorRT), and the edge TPU hasn't had an update since 2018 as far as I can tell, and surely there have been breakthroughs to make them more efficient, able handle larger and newer models, or at least cheaper since then. I could be conspiratorial and suggest that any more powerful and they will cut into google cloud service money, but it's moot.
In short, I like it and I want to see more of it. In a capitalist view, I want more competition in this space.
Edit: I know that multiple edge TPUs can be used together, but larger solutions for municipal or business use would be nice as well.
I didn't realize the hardware locks you to a software suite, that's generally a dealbreaker unless you already use that software for everything. The conspiratorial comment seems quite likely to me. It really seemed like they were putting a lot of weight behind the project and then just dropped it.
Yeah, it leaves a lot to be desired, especially because Torch is much better than TensorFlow to work with (imo). But still, it's a step in the right direction. I would love to see more like it (but better) in the future. A peek at mouser shows that there are a few options in the $100-$200 range, but at that price I'll save the headache of trying to figure out what frameworks they support and get a Jetson. Lots to be desired in this sector.