AITOPAI热报
ModelsSelected78°

DeepSeek-V4.1-Flash model introduced

官方账号深度求索 DeepSeek@deepseek_ai
Post
View the post
Why we picked it

For users needing a smaller, faster AI model, DeepSeek-V4.1-Flash offers a new option that is more efficient than previous versions of the DeepSeek model family.

DeepSeek AI has introduced DeepSeek-V4.1-Flash, the smallest model in its new architecture family. It features native visual understanding and is designed for faster inference and higher throughput. The model is part of a new architecture family aimed at scaling to larger models.

Original · 深度求索 DeepSeek

🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient. 🔹 Introducing the smallest model in our new architecture family, with native visual understanding. 🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models. 1/6 💬 328 🔄 945 ❤️ 7451 👀 399126 📊 1241 ⚡

#DeepSeek#DeepSeek-V4.1-Flash#AI models#LLM#AI architecture

Keep reading

Recent stories with the same tag or section
ProductsUS vs ChinaSelected07:26
vLLM sets best DeepSeek-V4.1-Flash result on SemiAnalysis AgentX

Matching DeepInfer's performance while beating it on a third-party agentic benchmark suggests vLLM is now a credible production backend for high-throughput DeepSeek serving, not just a research engine. Engineers running agent-heavy inference stacks can use the reproducible blog recipe to benchmark their own deployments against the 954K tokens/s figure. DeepSeek's off-peak pricing makes the revenue-per-GPU-hour number a useful cost baseline for capacity planning.

#vLLM#DeepSeek#AgentX#SemiAnalysis
官方账号vLLM@vllm_projectSource
ModelsBuildersSelected02:02
vLLM Matches DeepInfer on DeepSeek-V4.1-Flash Decode

An open-source inference stack catching up with a frontier lab's in-house engine means teams can serve DeepSeek-V4.1-Flash without relying on the vendor's own tooling. Engineers running self-hosted deployments in Singapore or ASEAN data centres can benchmark vLLM at DEP32 as a direct alternative to DeepInfer's EP64DP64 setup, avoiding engine lock-in while keeping comparable throughput at large batch sizes.

#vLLM#DeepSeek#DeepInfer#inference
官方账号vLLM@vllm_projectSource