High-availability cluster with 24/7 dedicated support
Cluster Name
NVIDIA DGX SuperPOD
GPU Nodes
2,048
GPU Type
H100 80GB
Total VRAM
163.8 TB
Interconnect
NVLink 4.0
Uptime
99.97%
Total GPU Nodes
256
Active in cluster
+12 this month
Avg. Utilization
78.4%
Across all clusters
+5.2% from last week
VRAM Usage
1.84 TB
Of 2.56 TB total
71.8% utilized
Jobs Running
1,247
Across 48 projects
Queue: 89 pending
A100-West
WarningOregon, US
89%
64 nodes
A100 80GB
H100-East
HealthyVirginia, US
76%
48 nodes
H100 80GB
A100-Central
HealthyIowa, US
82%
96 nodes
A100 40GB
H100-West
HealthyCalifornia, US
68%
48 nodes
H100 80GB
High-priority banking workloads requiring attention
Llama-3-70B Fraud Detection
Mission CriticalReal-time Transaction Anomaly
Mission CriticalAnti-Money Laundering Pipeline
HighSWIFT Messaging Processing
High| Application Name | Type | GPU Usage % | Status |
|---|---|---|---|
| Llama-3-70B Fraud Detection | AI | 94% | Active |
| Anti-Money Laundering Pipeline | AI | 82% | Active |
| Real-time Transaction Anomaly | AI | 91% | Active |
| Core Banking ERP Database | Standard | 56% | Active |
| SWIFT Messaging Processing | Standard | 62% | Active |
| Disaster Recovery Replication | Standard | 5% | Idle |
GPU Memory Exhaustion on Fraud Detection Pipeline
criticalinvestigatingNova Diagnosis
AI-powered root cause analysis
The Fraud Detection model is experiencing memory pressure due to a batch size increase deployed at 14:32 UTC. The change increased per-inference memory from 68GB to 79GB, exceeding the 80GB VRAM limit during peak concurrent requests.
Config change: batch_size increased from 8 to 12 in deployment fraud-detect-v2.3.1
Correlated Signals
Recommended Fixes
Rollback to fraud-detect-v2.3.0 (previous stable version)
Immediate resolution, ~2 min downtime during rollback
Reduce batch_size to 8 in current deployment
Gradual improvement over 5-10 minutes, no downtime
Scale out to additional GPU nodes
Distribute load, requires 3-5 min provisioning
GPU Memory Exhaustion on Fraud Detection Pipeline
ServiceNow ticket INC0089234 created with root cause analysis attached
GPU Memory Exhaustion on Fraud Detection Pipeline
Alert sent to #gpu-ops-critical channel with incident summary
Elevated Latency on AML Pipeline
Awaiting approval: Migrate training-job-exp-7821 to isolated GPU pool
Scheduled Maintenance: NVLink Firmware Update
Automatic workload migration and restoration completed successfully
Thermal throttling on gpu-node-042
Manual intervention: Adjusted cooling fan speed and redistributed workload
Container restart loop on inference-svc-03
Auto-restart exceeded retry limit. Escalated to on-call engineer.
Projected breach on May 3 at current growth rate. Add 8 nodes or cap new job intake by Apr 28.
Best batch window: 12am-6am on weekdays — schedule non-critical training jobs here to reclaim peak capacity.
DR Replication is consuming H100 80GB nodes at 5% average utilization — equivalent to parking a supercar to idle in a driveway. Downgrading to A100 40GB frees $4,600/mo with zero performance impact.
| Workload | Allocated GPU | Avg usage | Status | Recommended action | Est. savings | Action |
|---|---|---|---|---|---|---|
| DR Replication | H100 80GB · 8 nodes | 5% | Over-provisioned | Downgrade to A100 40GB · 2 nodes | $4,600/mo | |
| Core Banking ERP | H100 80GB · 12 nodes | 56% | Over-provisioned | Move to A100 80GB · 10 nodes | $2,900/mo | |
| SWIFT Messaging | H100 80GB · 6 nodes | 62% | Over-provisioned | Reduce to H100 80GB · 4 nodes | $1,800/mo | |
| Fraud Detection | H100 80GB · 16 nodes | 94% | Correctly sized | No change | — | |
| AML Pipeline | A100 80GB · 8 nodes | 82% | Correctly sized | No change | — |