Liam Coffey (@liamjcoff) header
Liam Coffey (@liamjcoff) profile picture

CEO/Chief Architect @theArchality: solved the AI memory wall. 30+yrs systems & silicon. Fmr AMD, 2x founder. BMAC - SRAM/DRAM-less MATMUL.

Canada
Joined December 2024
Photo by Liam Coffey (@liamjcoff)Photo by Liam Coffey (@liamjcoff)Photo by Liam Coffey (@liamjcoff)Photo by Liam Coffey (@liamjcoff)Photo by Liam Coffey (@liamjcoff)Photo by Liam Coffey (@liamjcoff)Photo by Liam Coffey (@liamjcoff)Photo by Liam Coffey (@liamjcoff)Photo by Liam Coffey (@liamjcoff)Photo by Liam Coffey (@liamjcoff)
I don’t usually comment on stuff like this. Since there’s a lot of FM self promotion that’s cringe (it’s why I soft quit LinkedIn). But this is true, not only in fund raising.
I sometimes help early stage @YCombinator founders with fundraising advice. They often send me two drafts of an email with tiny differences in wording, asking which is better. My advise is almost always the same: It doesn’t matter. Then I try explain some version of the diagram below. In a fundraising process, you are mainly tying to quickly identify which of the below buckets investors are in. It’s a much better use of time filtering more investors to find the right hand bucket, than agonizing over the middle bucket for hours.
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Home opener preperations!
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Liam Coffey retweeted
Published another version of oj-hn.com today. Fixed some performance issues and upgraded all the dependencies. If you read HackerNews in a browser, this really makes the experience a little sweeter, without getting in the way. Free, open source, no tracking or weirdness.
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Love and Thoughts to all that are going through this right now. All of Canada is with you.
It is with profound sadness that we confirm that a fire incident at CFB Wainwright on October 17 resulted in fatalities and injuries. Our immediate priority is supporting those affected and notifying next of kin. canada.ca/en/department-nati…
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Happy Thanksgiving to everyone in Canada.
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Woah! We just had two full bare metal 8x MI300x machines come back to us. First time in many months since this has been a thing. If you want both of them, you get the full 8x400G as well (reach out to us). Perfect for a training run! Otherwise, 8 hours minimum, ~$217 and you get a real supercomputer. admin.hotaisle.app
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Announcing: dgx-spark-networking cabled four DGX Sparks into a ring with no switch, taught NCCL which way is clockwise, and shipped an all-reduce that finishes before NCCL has picked an algorithm. 10 KiB all-reduce: NCCL 91 µs. ours 17 µs. one kernel. replays in a CUDA graph. bit-identical on every rank. the pun is dead (RIP RoCEnante), the horse is now called oneshot, the repo is public and Apache-2.0: github.com/christopherowen/d… next: letting the GPU ring the NIC doorbell itself. first attempt rebooted a node. we will be back.
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Current backlog of our demand estimate for MI355x. This is all unadvertised inbound.
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Here is a full run of all the steps in a 'hello world' 555 board. youtube.com/playlist?list=PL…
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Will large CSPs start locking up multi-year exclusive supply agreements with NVIDIA? Will they build datacenters on spec for each new hardware generation, then sell older datacenters as complete units to neoclouds? When will the build-out scramble become a sustainable process with a predictable pattern? Why don’t we see more analysis addressing questions like these? Even 5% of future capacity would not be a small piece of the pie for neoclouds. And do you know who the dark horse is in all of this? @HotAisle. Ask your favorite LLM to go through all of their posts. You will see a lot of genuine innovation that doesn’t usually get talked about. Look at what they have done with what they have. It’s only a matter of time before someone with real depth in business understands just how valuable the operating template they have built is. Someone should conduct a thorough analysis of each neocloud to see who has built a replicable, scalable business. @damnang2 you up for it? With A100s still going strong at @CoreWeave six years after launch, the Monopoly pieces are changing from hotels to datacenters, indeed.
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Yesterday, during an expert call with a Samsung HBM packaging engineer, I asked whether Samsung might have an advantage because of its turnkey strategy. His answer was “It is a turnkey strategy, but it kind of feels like Kimbap Cheonguk. You can eat much anything there, but…” I was honestly impressed by the analogy. Then I immediately started wondering how on earth I was going to translate “Kimbap Cheonguk” in a way that my international readers could actually understand 😂
Replying to @damnang2
Samsung is already a such company
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Can you imagine if @SpaceX @spacexai or @OpenAI acquired @Cloudflare just how much training data and capabilities they’d get overnight? Unlimited power.
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I am surprised @elonmusk hasn’t done this yet just for the advantages of the starlink network alone.
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This isn’t the first attempt and won’t be the last. I worked on silicon-level security to solve for these types of solutions from 2016. We deemed it unviable because it ultimately boiled down to DRM-like capabilities. An actor who found the right vulnerability could violate the contract while appearing compliant, potentially pledging the same compute across multiple exchanges without detection. It was originally part of a range of use cases in confidential computing that a group of us came up with back then. The harder problem isn’t creating a market for future compute. It’s proving, continuously and across independent markets, that the underlying capacity exists, remains unencumbered, and hasn’t been pledged elsewhere. We’re already seeing adjacent forms of this problem. A lot of money is being made through nefarious routing arbitrage of models over APIs, en-masse distillation, and secondary markets for call-and-response transcripts. Do the people that financed this know this already? If so, what could possibly be their justification for this financing decision? It’s not just a problem you can decide to defer to a later round; there’s silicon design needed across all computing.
Replying to @ronitrjain
How do you assure that the underlying capacity exists and is uniquely available to satisfy an obligation? There were plenty of attempts at GPU compute futures and future-financing structures during the run-up to and peak of Ethereum mining. The fundamental problem was proving uniqueness of the underlying capacity. Proof of work at least provided observable evidence that the hardware existed and was doing work, but that still didn’t establish that the same future capacity hadn’t been sold or pledged elsewhere. Many of these structures fell apart even before the market declined. As uncertainty increased, particularly around regulation and the ability to liquidate the underlying assets or contracts, financing became increasingly difficult. A cash-settled hedge can establish a future price. It does not establish that the underlying compute exists, is unencumbered, or is uniquely available to satisfy the obligation. I have serious doubts about this. It looks like some of the same structural problems are being rediscovered with fresh eyes and fresh money.
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Nothing particularly new here, just always satisfying to watch the silk screen carving and solder mask removal.
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I am not ok with this @venturetwins if you’ve created this. ‘Gloves off with Bernie’ doesn’t rub out the integrity line you crossed, regardless how this guy bumbles his way through and is being mislead.
Can't believe he just came out and said it
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Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time.
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The new Atlas world model is literally black magic. This shouldn't be possible from just 3 cameras 🤯
Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time.
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HOLY FUCK IT'S OUT LET'S GOOOO
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