Radix Tree KV Cache
SGLang Runtime
5.1x High Throughput
🎬 3Blue1Brown Manim
SGLang RadixAttention & Prefix-Caching Studio
Eliminate redundant attention computation across multi-turn agent conversations, tool-calling chains, and hierarchical system prompts. Maintain a live Radix Tree of KV-cache tensors in GPU memory, achieving 5.1x throughput improvement and 88.6% prefix hit rates.
Prefix Hit Rate
88.6%
Automatic Subtree Reuse
Throughput Speedup
5.1x
vs Non-Cached Baseline
VRAM Saved
42.8 GB
Zero Attention Recompute
Time to First Token
14.2 ms
Instant Prefix Activation
Radix Cache Configuration
1 req
16 reqs (Optimal)
64 reqs
Ready for prefix evaluation
💰 SGLang Prefix Caching FinOps & GPU ROI
- ✓ 5.1x Higher QPS: Serve 5x more concurrent agent requests per GPU cluster without provisioning extra hardware.
- ✓ Sub-15ms TTFT: Time-to-first-token drops from 95ms to 14.2ms by reusing precomputed attention key-value states.
- ✓ Zero Recompute: Multi-turn conversations share root branches, avoiding redundant transformer forward passes.