5d ago · 9 min read · The problem an eBPF GPU agent has to solve, when a real workload stalls, is not "what is happening on this host" but "which rank in this cluster is dragging the rest, and why." Across seven weeks and
Join discussionMay 6 · 11 min read · Eight ranks on two hosts. Every per-host metric reads healthy. Rank 5 enters the barrier 290ms late. The cause lives in a cross-rank query, not in any single host’s trace. TL;DR Eight ranks on two hos
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Apr 28 · 6 min read · SDXL Turbo is genuinely impressive for what it does — real-time or near-real-time image generation in 1-4 steps. But it has a specific set of requirements and failure modes that are different from base SDXL, and if you're bringing over your SDXL setu...
Join discussionApr 9 · 11 min read · TL;DR CUDA graphs shipped in 2018 but only became critical infrastructure in the past two years, driven by LLM inference demands and framework automation. They also create an observability blind spot
Join discussionApr 6 · 11 min read · Part 1 of 2. Why We Did This Hammer.ai runs a industrial research lab hyper focused on regulated domain document understand at extremely efficient margins. Private equity self funded companies like f
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Apr 3 · 8 min read · As AI workloads expand across cloud, edge, and enterprise environments, the infrastructure underpinning them is shifting toward hardware diversity. The question is no longer whether teams will run on
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