LayerLens: Open-Source Profiler Breaks Down LLM Inference Timing by Token and Layer
Dry_Mixture130 · reddit · 2026-09-11
A developer released LayerLens (github.com/coconinja2/layerlens), an open-source LLM inference profiler presenting timing as a token x transformer-layer view, with prefill/decode separation and per-layer visualization. Planned additions include KV-cache events, scheduler/batching state, request IDs, GPU kernel correlation, and speculative decoding; the author seeks feedback on whether this abstraction is useful to inference practitioners.
More from Infra
- Bartowski Details New Per-Tensor Layout Maps for GGUF Quantization in llama.cpp — bartowski1182 · 2026-09-11
- antirez runs DeepSeek v4.1 Flash locally on a 128GB M5 Max, SSD streaming surprisingly fast — antirez · 2026-09-11
- OpenAI could 7x its training compute tomorrow: why open-source models still trail by one generation — soumitrashukla9 · 2026-09-11
- DOJ scrutinizes Nvidia's ~$20B Groq licensing deal over merger-review evasion — eyishazyer · 2026-09-11
- Persimmon Built on NVIDIA's 550B Nemotron 3 Ultra with Thousands of Blackwell GPUs — niloofar_mire · 2026-09-11
- NVIDIA details EPD disaggregation: up to 5x faster TTFT and 7x faster responses for multimodal serving — NVIDIAAI · 2026-09-11