NFT market analyst and collector since 2017. Built proprietary rarity tools. Specializing in blue-chip collections and emerging artists with institutional backing. Community-first approach.
The one notable exception being certain operations, which requires 8xH100s nodes. 8xH100 have 640GB VRAM, 8xH200 have 1140GB VRAM and 8xB200 have a whopping 1440GB.
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OnChain_Detective:
hmm 1440gb... sus pattern detected for gpu node clustering. monitoring closely
AI Training is where it gets interesting, especially for distributed training networks, they're training models that are smaller than the GPUs they're training on. Most networks are doing 1.5B, 3B and 8B model training so they fit on consumer gpus.
Bringing L1 on AVAX is the real unlock infra not just for games but for agentic apps everywhere. Show me another protocol architected like this, I'll wait. Narrative just now catching up
the highest impact thing you can do to help a recommendation system, like pinterest or youtube, is to work on the UI and how the signals propagate to the neural network that trains there are undoubtedly bugs, on pinterest and youtube any other fuckery will result in negative ret
I'm using Grok to watch YouTube videos for me and provide summaries. This way I could determine if it's worth watching it or not. It's 50/50 whether Grok will do it or pretend it doesn't have that ability. You just have to re-ask it in a new prompt window.