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阿納斯塔西婭@3___infinix
@vllm_project @NVIDIAAI vLLM 推 multimodal 越做越猛了，Cosmos 3 Day-0 支援滿翻天的。實際 latency 表現呢？
9hViews 143
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Sentiment
Users praise the robotics serving support as a sleeper feature and highlight the fast fp8 quantization in vLLM-Omni v0.22.0 as impressive upgrades.
Pos
100.0%
Neg
0.0%
2 comments with sentiment.
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Prithvi Jadwani | AI SEO | GEO | REDDIT SEO | GMB@Prithvi_Jadwani
@vllm_project @NVIDIAAI 339 commits is the new funding round. What's the growth rate in actual users?
8hViews 113
Oleksandr@dadadaistt
@vllm_project @NVIDIAAI omni serving insane fast fp8 quantization lit
5hViews 50
learnbydoingwithsteven数能生智@Catchingtides
@vllm_project @NVIDIAAI Production-grade multimodal serving is becoming a distinct infrastructure layer from text-only inference.
4hViews 33
Oracles Technologies LLC@OraclesTech
@vllm_project @NVIDIAAI Keep your LLMs & agents secure! https://github.com/OraclesTech/guardian-sdk
8hViews 7
cc@ccb8128
@vllm_project @NVIDIAAI The robotics serving support (DreamZero + OpenPI realtime API) is the sleeper feature here. Everyone's focused on chat/vision, but real-time robot serving at production grade is where multimodal actually gets interesting. 52 new contributors in one release is wild too.
6h