Search results for DeepInfer
KI-Update am Nachmittag · 20. Oktober 2026 DeepSeek öffnet DeepInfer, Notion verändert Agenten und Abrechnung, ElevenLabs startet Realtime. Die relevanten Meldungen von gestern und heute – mit Quellen und Einordnung. x.com/i/article/2112…
@deepseek_ai making DeepInfer open source gives developers more control over inference cost and performance. As an AI agency owner, I want more of the AI stack to be practical to run.
@deepseek_ai making DeepInfer open source gives developers more control over inference cost and performance. As an AI agency owner, I want more of the AI stack to be practical to run.
DeepSeek 开源推理框架：走向真正普惠的未来 mp.weixin.qq.com/s/5MEu2eeqNfBW… DeepSeek 这次开源的不是模型，而是生产 AI 的“工厂” DeepSeek 这次开源了推理框架 DeepInfer。我觉得这件事可能比再开源一个更强的大模型还值得关注。 我的核心判断是：模型开源，让更多人有能力开发 AI
🚨 DeepSeek 真是站着把钱挣了。😂 今天 DeepSeek 正式开源内部推理框架 DeepInfer，顺手把自己的“赚钱效率”也晒了出来： ⚡ 单集群吞吐：155 万亿 Tokens / 天 💰 按谷时 API 定价计算：每卡每小时收入约 $38 此前流出的梁文锋投资者交流会转写中，他提到 DeepSeek 的 API 定价逻辑是：
Thanks for open source deepinfer, validated and ported to SM80 GPUs certain operators gains over 20x speed up! check this out: github.com/HalfVulpes/Dee…
DeepSeek didn't just open-source its code. It opened its books too. With DeepInfer, the system it uses to run its own AI, DeepSeek revealed something no US lab talks about: each GPU brings in $38 an hour. Do the math: $38 × 24 hours = $912 a day About $27,700 a month About
@vllm_project @deepseek_ai Originally built primarily on vLLM, now returned as open source with the KV cache, prefill/decode disaggregation and load balancing left as an exercise for the reader. No one has benchmarked it yet. qz.com/deepseek-open-…
@sgl_project @deepseek_ai DeepSeek open-sources DeepInfer, SGLang celebrates the launch
这个世界很魔幻，一边是土耳其人和中国人交流那些骑马种地的故事，而另一边是DeepInfer开源又在推进AI进步，接下来的GLM5.5全模态也在路上。
DeepInfer 開放 DeepSeek 離線推理核心 DeepInfer 把 DeepSeek 大規模服務的離線推理核心開源，涵蓋高效 kernels、並行排程與解碼加速。 infernews.com/blog/deepinfer/
DeepSeek open-sourced DeepInfer under Apache-2.0. The repo calls it the inference framework behind its production services, supporting DeepSeek-V4.1-Flash, with optimized kernels, MoE EP+EPLB, batch-invariant inference and deterministic sampling. 9k stars, 783 forks.
DeepSeek 今天把自家线上服务用的推理框架开源了，叫 DeepInfer Apache 2.0 许可，支持英伟达 SM100 和华为昇腾 950，还配了和官方 API 对齐的编解码组件 deepseek-recipe 目前只支持 V4.1 Flash，缓存、负载均衡还没放出来，不是拿来就能开服务的完整方案 github.com/deepseek-ai/De…
DeepSeek abrió DeepInfer, el motor de inferencia que utiliza para ejecutar V4.1 Flash a gran escala. El código está disponible con licencia Apache 2.0. El repositorio admite GPU NVIDIA SM100 y NPU Huawei Ascend 950. Incluye optimizaciones de ejecución, paralelismo y salidas
모델 공개 다음은 서빙 코드 공개 DeepSeek가 모델 돌리는 추론 프레임워크를 오픈소스로 냈음 DeepInfer. 4일 만에 스타 9천. 가중치 공개는 이제 익숙한데 서빙 코드까지 보여주는 건 낯설음 비밀은 가격인데 그 가격이 제일 싸니까 숨길 게 없는 거겠지 github.com/deepseek-ai/De…
DeepSeek正式开源了他们内部生产级推理框架DeepInfer（Apache 2.0许可证），同时配套开源了deepseek-recipe（用于token编码解码，与官方API行为对齐）。 这个引擎目前主要支持DeepSeek-V4.1-Flash模型，跑在NVIDIA SM100（Blackwell数据中心GPU）和华为昇腾950
DeepSeek正式开源了他们内部生产级推理框架DeepInfer（Apache 2.0许可证），同时配套开源了deepseek-recipe（用于token编码解码，与官方API行为对齐）。 这个引擎目前主要支持DeepSeek-V4.1-Flash模型，跑在NVIDIA SM100（Blackwell数据中心GPU）和华为昇腾950
@deepseek_ai Curious how well DeepInfer works beyond DeepSeek models. Will it become a general inference option?
还得是DeepSeek，推理核心框架也都开源了。 DeepInfer 集成了高性能算子和深度优化的推理引擎，支持分布式推理、推测解码、SWA Bounded Repla、结构化输出等能力。同时还开源了生产级 Token 编解组件 deepseek-recipe，支持主流大模型 API 协议与模型 Tokens 之间高效、准确的编解码，处理逻辑与
还得是DeepSeek，推理核心框架也都开源了。 DeepInfer 集成了高性能算子和深度优化的推理引擎，支持分布式推理、推测解码、SWA Bounded Repla、结构化输出等能力。同时还开源了生产级 Token 编解组件 deepseek-recipe，支持主流大模型 API 协议与模型 Tokens 之间高效、准确的编解码，处理逻辑与
DeepSeek 把线上模型同款的推理框架 DeepInfer 开源了，Apache-2.0。货真价实的生产级引擎：FlashMLA、DeepGEMM、DeepEP 全套自研内核都在包括：权重、引擎、内核。 更关键的是，支持英伟达 SM100，也支持华为昇腾 950。 真正的技术自信，不是把核心技术藏起来，而是敢把自己的底牌摊开给全行业用！
DeepSeek just open-sourced its inference engine github.com/deepseek-ai/De… (news.ycombinator.com/item?id=501632…)
@deepseek_ai What interests me most is the infrastructure behind the model. In AI for research, inference cost and latency can determine whether a tool is actually usable at scale. Open-sourcing DeepInfer could make it easier for more teams to experiment with high-throughput inference.
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