Workloads:
Concentric System Topology (AI ³ ML ³ DL ³ GenAI ³ Agents)
Active: Machine Learning
Latency Budget
15 ms
Est. Cost / 1M Reqs
$0.30
Execution Modality
Tabular
Primary Primitive
XGBoost / LightGBM
Custom Workload Evaluator
Engineered Rules
Input Data Modality Tabular (Relational / Logs)
Latency SLA Constraint < 20ms (Real-time in-line)
Reasoning & Tool Calling Loop No (Static Evaluation)
🎯 Recommended Tier: Machine Learning

For tabular transactions with strict < 25ms SLAs, classical ML (Gradient Boosted Trees or Logistic Regression) yields optimal explainability, negligible tail latency, and 100x lower infrastructure cost than LLMs.

Architectural Tier Trade-Off Matrix
Layer Core Definition Representative Stack Compute & Cost Failure Mode & Defense
AI (Broad) Rule-based expert systems, heuristic search, automation envelopes. State machines, A* Search, Drools, Knowledge graphs Minimal CPU ($0.01 / 1M) Fragile to edge cases. Fix: Fallbacks & human triage.
Machine Learning Statistical optimization & tabular pattern extraction from historical samples. XGBoost, Scikit-learn, Random Forests, LightGBM Low CPU/GPU ($0.25 - $1.00 / 1M) Data drift, class imbalance. Fix: Retraining pipelines.
Deep Learning Hierarchical neural representations for perception, audio & dense embeddings. PyTorch, TensorRT, ResNet, ViT, Whisper Dedicated GPU ($5.00 - $15.00 / 1M) Distribution shift, adversarial noise. Fix: Robust data augmentation.
Generative AI / LLMs Autoregressive foundation transformers synthesizing novel unstructured tokens. Llama 3, Claude 3.5, GPT-4o, vLLM, SGLang High H100 clusters ($50 - $400 / 1M) Hallucinations, non-determinism. Fix: Grounded RAG, structured outputs.
AI Agents Dynamic goal-directed loops with state, memory, tool orchestration & reflection. LangGraph, CrewAI, AutoGen, MCP servers Very High ($200 - $1500 / 1M) Infinite loops, cascading errors. Fix: Execution budgets, sandboxing.