this post was submitted on 25 Apr 2026
399 points (97.8% liked)
Technology
84200 readers
4320 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related news or articles.
- Be excellent to each other!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
- Check for duplicates before posting, duplicates may be removed
- Accounts 7 days and younger will have their posts automatically removed.
Approved Bots
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Yeah I can believe their interconnect is better, given their extensive history in networking.
W.r.t TFLOPs, let me clarify what I meant. Even on traditionally compute-bound workloads (attention, etc.), on H200 it's actually surprisingly difficult to make full use of the card's throughput before hitting VRAM bandwidth limits. Tensor core throughput has grown a lot faster than bandwidth has.
I've never written a kernel for Huawei chips so I have no idea if they have the same problem. But this problem is there on many datacenter-class NVIDIA chips, which is why they keep introducing features (TMA, TMEM, etc.) to try and lower the time wasted waiting for memory.