DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles
mji
31 points
3 comments
April 25, 2026
Related Discussions
Found 5 related stories in 88.1ms across 8,303 title embeddings via pgvector HNSW
- DeepSeek-V4 Technical Report [pdf] tianyicui · 19 pts · April 24, 2026 · 67% similar
- DeepSeek V4: The Open-Source Model Frontier Labs Feared HelloAi · 61 pts · May 15, 2026 · 67% similar
- DeepSeek v4 impact_sy · 455 pts · April 24, 2026 · 63% similar
- DeepSeek-V4: a million-token context that agents can use ibobev · 12 pts · April 28, 2026 · 63% similar
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence cmrdporcupine · 146 pts · April 24, 2026 · 62% similar
Discussion Highlights (1 comments)
Palmik
Similar article for vLLM: https://vllm-website-pdzeaspbm-inferact-inc.vercel.app/blog/... Bechmarks from InferenceX (they do not have apples-to-apples setups to compare the different engines for whatever reason): https://inferencex.semianalysis.com/inference?i_hc=1&g_model... I find it odd that sglang, vLLM, TRTLLM don't seem to want to publish benchmarks comparing each other. They used to, but now there seems to be some unspoken rule against it. At least we get comparison against "other OSS engine" this time, but that could be HF's Transformers as well :)