Mythos 6

Mythos 6 — GPU Cluster Ops Agent Modern GPU clusters are expensive, dense, and hard to operate in real time. Problems like throttling risk, unstable nodes, and scheduling bottlenecks often appear first as raw telemetry that only expert SREs can interpret. By the time an issue is escalated, the cluster may have already wasted GPU-hours or slowed critical workloads. Mythos 6 turns GPU-cluster telemetry into a live situational model for non-technical operators. It replays real Alibaba OpenB GPU-sharing traces and derives operational risk signals such as workload pressure, queue buildup, node instability, and projected thermal risk. When risk is detected, the system generates safe candidate actions, then uses an AI agent through Crusoe Managed Inference to choose and explain the best recommendation in plain language. The agent can only select from validated actions, so it cannot invent unsafe migrations. Operators use a live 3D dashboard to inspect the cluster, review recommendations, and respond with one tap: Approve, Override, or Ask Why. Critical recommendations can also be surfaced through audio alerts, making the system easier to use in an active operations environment. Every action is logged for traceability. The result is a human-in-the-loop control room that helps teams catch GPU-cluster issues earlier, understand each recommendation, and take safe action before small problems become costly incidents. deployed version: http://104.207.155.153/