Deploying Large Models at Scale with SGLang
202607111246
Status: #idea
Tags:
Deploying Large Models at Scale with SGLang
- Miles → Post training framework
SGLang
- KV-cache offloading is native in SGLang
- Context parallelism
- Pool-per-stage deployments (vs PD-disaggregated)
- MI300 is better at decode vs Hopper chips
Stack
- RadixAttention
- TODO
- HiCache
- KVCache offloading
- Why does hi-cache need deterministic attention?
- HiSparse
- ShadowRadix
Deepseek V4
- DeepSeek V4 attention
- Hybrid
- TODO ask for presentation
- Kernels
- Lightning TopK
- Cluster of 8, 10-bit radix histogram replaces a global sort
- MegaMoE → Dispatch, compute and combine into a single kernel
- Lightning TopK
Miles
Harbor → For agentic rollouts
TODO from slide (Inside miles post training as scale)