Industrial
Robotics
AI Automation
Veltri-XA delivers AI-driven autonomous industrial orchestration that enables robots and machines to coordinate, adapt, and optimize themselves in real time.Powered by NVIDIA Triton • TensorRT • A100/A10G GPUs
Visualize robotics activity and monitor systems in real-time. Direct interface pipelines optimize throughput latency parameters across the active edge floor.
01 // INDUSTRIAL AI MODELS
Specialized foundation models for robotics, predictive maintenance, and vision
Anomaly Detection
Real-time identification of abnormal patterns in sensor data, vibration signals, and thermal imagery for early fault warning.
Predictive Maintenance
Forecast equipment degradation and remaining useful life (RUL) using multi-variate time-series analysis.
Workflow Optimization
Reinforcement learning agent for dynamic scheduling and resource allocation in production lines.
Industrial Vision
Object detection, defect segmentation, and safety compliance monitoring from high-resolution camera feeds.
Energy & Demand Forecast
Predict energy consumption, material demand, and production output with ensemble models.
Anomaly Detection
Real-time identification of abnormal patterns in sensor data, vibration signals, and thermal imagery for early fault warning.
02 // TRITON INFERENCE MATRIX
Real‑time telemetry from NVIDIA Triton Inference Server
LIVE INFERENCE TELEMETRY
MODEL REPOSITORY • TRITON
GPU CLUSTER TOPOLOGY
instance_group: [{ kind: KIND_GPU, count: 1, gpus: [0] }]dynamic_batching: { preferred_batch_size: [8, 16], max_queue_delay_microseconds: 150 }03 // AWS GPU CLUSTER & NVIDIA SDK STACK
Infrastructure request & justifications for industrial AI workloads
GPU Resource Request Justification
Veltri-XA requires NVIDIA A100/A10G GPUs to power real-time industrial AI analytics and automation. Current workloads include:
- Real-time anomaly detection on streaming sensor data (vision + vibration)
- Predictive maintenance with multi-variate time-series forecasting (LSTM/Transformer)
- Reinforcement learning for dynamic workflow optimization
- High-throughput defect detection using vision transformers
- Concurrent serving of 5+ models via Triton ensemble