telemetry link · 4 ms scope: all racks
UTC --:--:--
Cluster · nyx-atlas · 7 nodes / 23 GPUs live 1 degraded 1 offline

Fleet Pulseis nominal

6,893tokens / sec aggregate
8,124peak tok/s
6,410avg 15 min
99.42%inference SLA
41 dnext drain window
MTP speculative decode · active vLLM 0.6.3 CUDA 12.4 Autoscaler armed
63%cluster load
79%vram
6.7kWpower
Total servers+1 recovered
7/7
5 online
Active GPUsstable
19/23
avg util 74%
Running models+1 warmed
12deploys
MTP 3×
Queued jobsdraining
142depth
avg wait 38 s
Tokens / second+4.1%
6,893
spec. accepted 71%
Power usage+0.2 kW
6.71kW
grid cap 7.2 kW
Throughput

Tokens per second · 90 s window

live · 1 s poll
Power

Draw vs grid cap

peak 7.6 kW
Queue

Job completion time by model

Memory

VRAM occupancy per node

385 / 488 GB
Hot models

Deployment leaderboard

Nodes

Server strip

activity · fleetd
Signals

Top alerts

Section 02 · Nodes

Physical Servers

Rack thermogram

GPU utilization matrix

cell fill = util · hue = temp
Inventory

Server / model table

7 rows
Detail

Expanded node cards

click any card to expand
Section 03 · Accelerators

GPU Monitor

Thermals

Core temperature · throttle line 88 °C

Allocation

VRAM per accelerator

Section 04 · Deployments

Model Deployments

sort
Throughput race

Tokens per second by deployment

MTP gains · Qwopus 3.6
Registry

Deployment table

13 models
Model Quant Context Host GPU set Status Jobs VRAM Tok/s
Section 05 · Inference queue

Inference Queue

Queue depth

Active / waiting / done / failed

Latency

Time-to-first-token · ms

streaming0
queued0
completed0
failed0
scheduler · ray-gpu
Section 06 · Signals

Alert Center

Escalation

Runbook bindings

SignalOwnerAuto-actionRunbookMTTA
GPU thermal ≥ 88 °Cinfra-gpucap power → 420 Wrb-cooling-v300:41
Volume free < 15%storageprune quant cacherb-cache-prune02:10
Job OOM / crashservingreslice ctx, retry ×2rb-oom-triage00:18
tok/s below floorperfre-enable MTP draftrb-slow-gen01:26
Queue depth > 3× baselinecapacityspin warm replicarb-elastic00:52