Production GPU Training is 34% Slower. Show Me Why
A single slow GPU – a straggler – in a 1,000-node training cluster idles 999 healthy GPUs at every AllReduce barrier. The job does not crash. There is…
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An open-source Proof of Concept for sub-microsecond Quantum Error Correction (QEC) pre-processing using Linux eBPF/XDP.
Excited to release KISDE, an open-source Proof of Concept for sub-microsecond Quantum Error Correction (QEC) pre-processing using Linux eBPF/XDP. In o…
MCP as Observability Interface: Connecting AI Agents to Kernel Tracepoints
TL;DR MCP is becoming the interface between AI agents and infrastructure data. Datadog shipped an MCP Server connecting dashboards to AI agents. Qualy…
One Query, Four GPUs: Tracing a Distributed Training Stall Across Nodes
TL;DR A single straggling node held up a 4-node distributed training job. We found it by fanning out one SQL query to all four nodes and getting the a…