Fleet Control

Local inference cluster · live telemetry

Live
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Hero summary

Cluster health
Total servers 6 5 online
Active GPUs 7 8 GPUs registered
Running models 5 Deployed inference endpoints
Queued jobs 4 Waiting in scheduler
Tokens per second 892 Fleet aggregate throughput
Power usage 2.8 kW Estimated live draw

Tokens per second

892

VRAM usage

54%

Power draw

2.8 kW

Job completion time

126s

Active alerts

5 alerts

Activity log

terminal

Server fleet

searchable / sortable
Hostname Status CPU RAM Disk Network Uptime Assigned models

GPU monitor

live telemetry

Model deployments

sortable
Model Quantization Context GPU assignment Status Jobs Tokens/s

Inference queue

pause / resume
Job ID Model Server Status Progress Tokens ETA Priority Action

Alert center

dismissable