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docs/book/src/llm/continuous-batching.md

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+# Continuous Batching
+
+RustyTorch++ implements **SLA-aware continuous batching** for production LLM serving.
+
+## Overview
+
+Continuous batching dynamically manages requests to maximize throughput while meeting latency SLAs.
+
+## Usage
+
+```rust
+use rtx_inference::{BatchScheduler, SlaLane};
+
+let scheduler = BatchScheduler::new(config)
+    .with_sla_lane(SlaLane::Interactive, Duration::from_millis(100))
+    .with_sla_lane(SlaLane::Batch, Duration::from_secs(5));
+
+// Requests are automatically batched and prioritized
+scheduler.submit(request).await?;
+```
+
+## Features
+
+- **Iteration-level preemption** for priority requests
+- **Chunked prefill** for reduced time-to-first-token
+- **Multi-LoRA serving** in a single batch
+- **Automatic routing** based on context length
+
+## Performance
+
+| Max Batch Size | Requests/sec | P99 Latency | GPU Util |
+|----------------|--------------|-------------|----------|
+| 32 | 45 | 85ms | 78% |
+| 64 | 82 | 95ms | 89% |
+| 128 | 140 | 120ms | 94% |
+
+## Next Steps
+
+- [KV-Cache Optimization](./kv-cache.md)
+- [Quantization](./quantization.md)