Fault Tolerant Llama training(pytorch.org)

52 pointsby Mougatine4 days ago5 comments

d4l3k13 hours ago
Hey, nice to see this here!
I'm the primary author so happy to answer any questions you might have!
zxexz7 hours ago
This is awesome, can’t wait to try out these techniques. At least a week a year of my time for the past few years has gone towards recovering from a fault crashing a training run. Sometimes environment related, sometimes shared storage, sometimes just because a slightly faulty IB cable.
bjt1234511 hours ago
This is severely underrated work, why aren't there more mid sized companies helping this? Ultra Ethernet just got released.
- foobiekr7 hours ago
  Ultra Ethernet will do almost nothing. It’s a rubber stamped version of Broadcom’s design and Marcel/Cisco/etc will just add it to their asics. Remains to be seen if SpecrumX will or Connectix. If not, none of it matters.
  These chips are $30m-$100m projects a pop. After the embarrassingly brutal failure of Barefoot nobody is going to do ASICs.
anonymousDan4 hours ago
What kind of failures are you typically concerned with here?
timzaman13 hours ago
300 L40s? What's this, 1998?
- d4l3k11 hours ago
  Hey Tim, how's it going?
  Interested in lending PyTorch some compute? :)
  torchft can handle much larger scales but for public multi-day demonstration run this is what we had available. Point of this blog was to demonstrate correctness of the quorum algorithm and recovery with a stock PyTorch stack and not so much peak flops.
  Stay tuned though -- planning on doing some much larger demos on B200s!
- kcorbitt12 hours ago
  I was curious about this so I had o3 do a bit of research. Turns out 300 L40s have more compute than any supercomputer before 2013 (and arguably before 2016, depending on how you count reduced-precision FLOPs).
  https://chatgpt.com/share/685dea79-26ec-8002-bd62-7ed83aedf4...