AI Roadmap/Layer 06 · 06. Inference Acceleration & Model Serving
6.4

6.4 Production Serving Engines, Control Plane & Reliability

vLLM, SGLang, and TensorRT-LLM engines, continuous batching, Multi-LoRA concurrent serving, TTFT/TPOT latency SLO governance, admission control, and canary rollbacks.

High-Throughput Engines & Continuous Batching

vLLM, SGLang, TensorRT-LLM, TGI architectures, iteration-level continuous batching, dynamic multi-LoRA concurrent mounting, distributed tensor parallel serving, and high-throughput SSE/gRPC streaming.

🏢 Companies
vLLM CommunitySGLangNVIDIA (TensorRT-LLM)Hugging Face (TGI)Groq
🛠️ Tech Stack
vLLMSGLangTensorRT-LLMContinuous BatchingMulti-LoRATGISSE / gRPCModel Serving
💼 Roles & Salary
Inference Engineer、AI Platform Engineer、Backend Performance Engineer
💰 $235K - $510K / year (Inference Engine Architecture) | ¥700K - ¥1.65M / year
📚 Prerequisites: Async Event Loops (Asyncio/uvloop/Rust) • Iteration-level Batch Scheduling State Machine • Multi-LoRA Dynamic Loading & CUDA Graph • Streaming Protocols (SSE/HTTP2/gRPC) & Concurrency

Serving Control Plane, SLO Governance & Elastic Reliability

TTFT and TPOT P95/P99 millisecond latency SLO observability, adaptive admission control and load shedding, multi-model gateway routing, GPU autoscaling, canary deployments, and automated zero-downtime rollback.

🏢 Companies
Fireworks AITogether AIAnyscaleModalBasetenGroq
🛠️ Tech Stack
SLO GovernanceTTFT / TPOTAdmission ControlLoad SheddingAutoscalingCanary DeploymentRollbackCost per Token
💼 Roles & Salary
Serving Reliability Engineer、AI Platform Engineer、MLOps / SRE Architect
💰 $225K - $480K / year (Serving Reliability & Control Plane) | ¥650K - ¥1.55M / year
📚 Prerequisites: Inference Latency Breakdown (TTFT/TPOT/Queue) • Load Shedding Algorithms (Token Bucket/CoDel) • K8s GPU Autoscaling (KEDA/Custom Metrics) • Canary Traffic Splitting & Rollback Runbooks