NVIDIA NIM + MS SEMANTIC KERNEL

Agentic Stack Architect & Enterprise Simulator

Trace Engine: Ready to simulate end-to-end execution path. Latency: -- ms | Tokens: --
Latency Decomposition (P95)
Total E2E Pipeline Latency 1,420 ms
Prefill/Guardrail (180ms)
NIM Generation (820ms)
Tool & Vector (320ms)
Eval Loop (100ms)
NVIDIA GPU Infrastructure Sizing
Required VRAM / Node
140 GB
KV Cache + Model Weights
NVIDIA HGX H100 Nodes
4 Nodes
32x SXM5 80GB GPUs
Max Sustainable QPS: 42.5 req/s
Token Budget per Request: 4,850 toks
Deployment Blueprint (YAML)
apiVersion: nim.nvidia.com/v1alpha1
kind: AgentDeployment
metadata:
  name: semantic-supervisor-prod
spec:
  orchestrator: semantic-kernel-azure
  models:
    - name: meta/llama-3.3-70b-instruct
      engine: tensorrt-llm
      tensor_parallel_size: 4
  guardrails:
    engine: nemo-guardrails
    config:
      jailbreak_detection: true
      hallucination_rail: true
  concurrency_target_qps: 35
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