SGLang

also referred to as: sglangs

10 statements across 5 episodes · 5 bullish · 1 bearish · 5 people on the record · first statement Nov 1, 2024 by Anastasios Angelopoulos · said 67 times in 11 episodes since 2024 · across every show →

Mentions by year

brought up most by Yining Zhang (6), Shawn Wang (4), Philip Kiely (4), Kyle Kranen (3), Mark Bissell (2), Chris Lattner (2), Ali Taha (2), Stefano Ermon (1)

tap a year for its mentions
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035202420252026episodes it came up in
007.52.5155202420252026episodesmentions per episode
2026 13 mentions in 4 episodes 3 per episode
2025 52 mentions in 5 episodes 10 per episode
2024 2 mentions in 2 episodes 1 per episode

every mention, scene by scene, with the transcript →

Everything said about SGLang, oldest first

Nov 1, 2024 neutral
Disclosure
Angelopoulos: Chatbot Arena is decoupling from LMSYS as co-creators shift focus
“Sort of Chatbot Arena has, of course, like, kind of become its own thing, and Lianmin and Ying, who are, you know, created LMSYS, have kind of, like, moved on to working on SGLang, and now They're doing other projects that are sort of originating from LMSS. An…”
Anastasios Angelopoulos Nov 1, 2024 ▶ 38:23 In the Arena: How LMSys changed LLM Benchmarking Forever
Jan 19, 2025 positive
Opinion
Zhang: SGLang outperforms vLLM and has better usability than TensorRT-LLM
“I think for the common use case, maybe not, not the DeepSeq VIII, for the common use case, I think SGLAN's performance is better than FLM, and its usability is better than TensorFlow TLM.”
Yining Zhang Jan 19, 2025 ▶ 26:57 DeepSeek V3, SGLang, and the state of Open Model Inference in 2025 (Quantization, MoEs, Pricing)
Jan 19, 2025 positive
Assertion Not checkable as stated
Zhang: Cursor Team Contacted SGLang Over DeepSeek-V3 Support
“And when we released the DeepSeq feed story support some employee from the Cursor team Also very interested in our implementation and ask, reach out and ask some questions from us.”
Yining Zhang Jan 19, 2025 ▶ 50:25 DeepSeek V3, SGLang, and the state of Open Model Inference in 2025 (Quantization, MoEs, Pricing)
Jan 19, 2025 positive
Assertion Supported
Zhang: DeepSeek team officially recommends SGLang as its inference engine
“That's why SGLAN is the recommended LLM engine by the DeepSeq team.”
Yining Zhang Jan 19, 2025 ▶ 28:06 DeepSeek V3, SGLang, and the state of Open Model Inference in 2025 (Quantization, MoEs, Pricing)
Jan 19, 2025 negative
Assertion Supported
Zhang: vLLM does not support DeepSeek MLA while SGLang does
“Something like DeepSeq V-II, they proposed attention parent named MLA, multi-latent attention, and I think SGLAN is the only framework to support that. Maybe LightLM and TRTM also support, but VLM doesn't support.”
Yining Zhang Jan 19, 2025 ▶ 27:23 DeepSeek V3, SGLang, and the state of Open Model Inference in 2025 (Quantization, MoEs, Pricing)
Jan 19, 2025 positive
Assertion Supported
Zhang: SGLang achieves higher cache hit rates using block size of one
“Redix cache, I think it's the technology of the prefix caching, and it is a special case for something like block size is one, you know, for VLM or for other frameworks, they use something block size, 32, and SGLAN use the block size one. I think if you use th…”
Yining Zhang Jan 19, 2025 ▶ 36:03 DeepSeek V3, SGLang, and the state of Open Model Inference in 2025 (Quantization, MoEs, Pricing)
Jan 19, 2025 neutral
Assertion Supported
Zhang: SGLang creators Lianmin Zheng and Ying Sheng work at xAI
“Lian Ming and Yin are the XAI's member of the technical staff.”
Yining Zhang Jan 19, 2025 ▶ 43:05 DeepSeek V3, SGLang, and the state of Open Model Inference in 2025 (Quantization, MoEs, Pricing)
Jul 2, 2025 bullish
Prediction Not checkable as stated
Morris: vLLM and SGLang are here to stay and will grow more complex
“I also think, ah, VLLM and SGLang seem, like, really good and important and here to stay. Like, they'll probably just get larger and more complex to accommodate future systems”
Jack Morris Jul 2, 2025 ▶ 14:10 Information Theory for Language Models: Jack Morris
Aug 4, 2025 neutral
Assertion Not checkable as stated
Ermon: Inception Labs built proprietary engine for production inference traffic
“So just like you would normally serve an LLM using a VLLM or SGLang or a Tensor or TLLM, we have built our own inference engine. And so we are supporting production traffic already with our own inference engine. We support continuous batch and quantization.”
Stefano Ermon Aug 4, 2025 ▶ 21:33 ⚡️Mercury: Ultra-Fast Diffusion LLMs — Estefano Ermon, CEO Inception Labs
Aug 3, 2026
Assertion Supported
Open-source inference engines often receive model weights before official launches
“Getting to the point of I can make a token out of this model is not that hard because generally the open source inference engines, your VLMs, SGLangs of the world oftentimes even receive weights ahead of time maintainers do, or the people making the model merg…”
Philip Kiely Aug 3, 2026 ▶ 13:51 Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
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