NVIDIA NIM and operational considerations

NVIDIA NIM (NVIDIA Inference Microservices):

• Pre-packaged, optimized containers for deploying AI models
• Available from NGC: nvcr.io/nim/<model>
• Handles model loading, batching, and serving automatically
• Integrates with Kubernetes for horizontal scaling

Operational monitoring for AI inference:

• Monitor GPU memory usage (variable context lengths affect VRAM)
• Scale inference horizontally using Kubernetes + Triton or NIM
• Use DCGM to monitor GPU utilization and temperature during sustained inference
• Set appropriate resource limits and requests in Kubernetes pods
• Watch for KV cache eviction under high load (impacts latency)