Why Removing the Vision Encoder Can Be Better — From an Infra Perspective
liuziwei7 · x · 2026-08-19
A technical article discusses the potential of removing vision encoders in multimodal models, arguing from an infrastructure efficiency perspective.
The article notes a trend over the past six months towards "Encoder-Free" multimodal models. Influenced by @paranioar's work, the author suggests that eliminating the standalone vision encoder could offer system-level advantages, particularly in efficiency when aligning high-dimensional visual data with language models.
Related event: Why encoder-free multimodal models make better infrastructure(3 posts)→
More from Infra
- LLM Inference Engineering: From KV Cache to vLLM and SGLang — techNmak · 2026-08-19
- DFlash 2: Qwen3.8-27B hits 70 tok/s on MacBook with 4.6x speedup — songhan_mit · 2026-08-19
- NVIDIA H100 Concurrency Response of Plain Global Loads Analyzed — ssh4net · 2026-08-19
- Using HBF for KV Cache Offload Risks Endurance Burnout — zephyr_z9 · 2026-08-19
- Considered nuclear startup funded by hyperscalers, impressed by serious energy buildout — JacquesThibs · 2026-08-19
- Qwen3.8-27B on 2x 3090 hits 218 tok/s decode with vLLM + DFlash2 spec-decode — xjx546 · 2026-08-19