Steam Deck

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A place to discuss and support all things Steam Deck.

Replacement for r/steamdeck_linux.

As Lemmy doesn't have flairs yet, you can use these prefixes to indicate what type of post you have made, eg:
[Flair] My post title

The following is a list of suggested flairs:
[Discussion] - General discussion.
[Help] - A request for help or support.
[News] - News about the deck.
[PSA] - Sharing important information.
[Game] - News / info about a game on the deck.
[Update] - An update to a previous post.
[Meta] - Discussion about this community.

Some more Steam Deck specific flairs:
[Boot Screen] - Custom boot screens/videos.
[Selling] - If you are selling your deck.

These are not enforced, but they are encouraged.

Rules:

Follow the rules of Sopuli
Posts must be related to the Steam Deck in an obvious way.
No piracy, there are other communities for that.
Discussion of emulators are allowed, but no discussion on how to illegally acquire ROMs.
This is a place of civil discussion, no trolling.
Have fun.

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founded 3 years ago

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FSR 4 has been in development for 9-12 months already, and one of the biggest focuses is improving battery life for handhelds (www.tomshardware.com)

submitted 2 months ago by Fubarberry@sopuli.xyz to c/steamdeck@sopuli.xyz

13 comments fedilink hide all child comments

He specifically cited bad battery life on the ROG Ally and Lenovo Go, saying that getting only one hour of battery life isn't enough. The Steam Deck (especially the OLED model) does a lot better battery wise, but improving power efficiency should really help with any games that are maxing out the Deck's power.

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[–] Stampela@startrek.website 4 points 2 months ago* (last edited 2 months ago)

The thing with “AI” or better still, ML cores, is that they’re very specialized. Apple hasn’t been slapping ML cores in all of their cpus since the iPhone 8 because they are super powerful, it’s because they can do some things (that the hardware would have no problem doing anyway) by sipping power. You don’t have to think about AI as in the requirements for huge LLM like ChatGPT that require data centers, think about it like a hardware video decoder: This thing could play easily 1080p video! Or, going with raw cpu power rather than hardware decoding, 480p. It’s why you can watch hours of videos on your phone, but try doing anything that hits the cpu and the battery melts.

Edit: my example has been bothering me for days now. I want to clarify to avoid any possible misunderstanding that hardware video decoding has nothing to do with AI, it’s just another very specialized chip.