Steam Deck

14781 readers

350 users here now

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.

Link to our Matrix Space

founded 3 years ago

MODERATORS

[email protected]

Using multiple machines to stream to one source (lemm.ee)

submitted 9 months ago by [email protected] to c/[email protected]

10 comments fedilink hide all child comments

With the advancements in steamlink, do you think we'll be able to use more than one source to render? If I have 2 mid desktops, could steamlink get the resource and computing distribution along with the synchronization(or pre-rendering?) to use both machines to stream to my steamdeck?

you are viewing a single comment's thread
view the rest of the comments

[–] [email protected] 5 points 9 months ago* (last edited 9 months ago)

Unlikely to be feasible for gaming as you will run in latency and overhead issues. If you want 60 fps, you have 16-17ms to render each frame.

At the bare minimum, you are probably going to lose a couple of ms from network latency from even the best home networking setups.

Then there is the extra overhead of maintaining state in realtime between multiple systems as well as coordinating what work each system can actually do in parallel. Full set of textures and other data will most certainly need to be on both, as having a shared memory pool across the network would be unfeasible. As a result, you will most likely have the same memory constraints, especially on the gpu, for each machine as you would just using a single machine.