this post was submitted on 12 Jun 2024
17 points (94.7% liked)

PC Gaming

8311 readers
655 users here now

For PC gaming news and discussion. PCGamingWiki

Rules:

  1. Be Respectful.
  2. No Spam or Porn.
  3. No Advertising.
  4. No Memes.
  5. No Tech Support.
  6. No questions about buying/building computers.
  7. No game suggestions, friend requests, surveys, or begging.
  8. No Let's Plays, streams, highlight reels/montages, random videos or shorts.
  9. No off-topic posts/comments.
  10. Use the original source, no clickbait titles, no duplicates. (Submissions should be from the original source if possible, unless from paywalled or non-english sources. If the title is clickbait or lacks context you may lightly edit the title.)

founded 1 year ago
MODERATORS
top 2 comments
sorted by: hot top controversial new old
[–] Lojcs@lemm.ee 5 points 3 months ago

Clickbait. Even the author admits that this doesn't mean anything because the architecture is different and rops usually aren't a bottleneck

And the first part is wrong too, top 2 dies' Cuda counts are going up, rest are the same or going down.

[–] You999@sh.itjust.works 5 points 3 months ago

Eh this is to be expected seeing how nvidia handles their architecture. For the last few generations nvidia has designed their architecture around the enterprise world's needs with gaming being an after thought. The fact is their gaming GPUs are defective enterprises GPUs not to say that's a bad thing but nvidia does not sell any GeForce GPUs that utilizes the full die. Simply put the enterprise world is all in on AI workloads and ROPs do not benefit those workloads so why would Nvidia dedicate precious silicon to an after thought?