Open-sourcing the framework that runs DeepSeek's own production fleet gives operators a rare look at inference internals optimised for both NVIDIA and Huawei Ascend hardware, a dual-platform angle few comparable stacks like vLLM or SGLang emphasise. Teams running DeepSeek models on Ascend 950 in Southeast Asia gain a first-party option instead of community ports. Deterministic sampling is currently NVIDIA-only, so check hardware fit before adopting.
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DeepSeek 把跑 V4.1-Flash 的推理引擎 DeepInfer 开源了,基于 vLLM,想自建部署省算力成本的可以拿来直接用。
DeepSeek 把自家跑 V4.1-Flash 的推理框架开源了,Apache 2.0 随便商用,还同时支持英伟达和昇腾,做部署的可以看看。
DeepSeek 这版新模型把 Agent Arena 的开源第一拿下了,任务成功率和 Bash 执行可靠性都是开源第一,单任务成本才 1 块多人民币。
DeepSeek 把 V4.1-Flash-1017 转正了,Terminal-Bench 从 31.2 涨到 42.3,MIT 许可还能随便商用,跑智能体编程的可以试试。
DeepSeek 刚经历五小时宕机,转头就推了 V4.1-Flash,主打输出提速,用 DeepSeek 的可以关注下。
DeepSeek 这次更新了 V4.1-Flash-1017,主打便宜,还把自研搜索 API 开放出来了,做应用的朋友可以试试接入。
DeepSeek 又更新了,这次 V4.1-Flash-1017 跑智能体任务比更大的模型还强,成本还降了,还附带 Search API,Claude Code 里能免费用。
DeepSeek 更新了 V4.1-Flash,DeepSWE 跑到 77.0 分,速度更快输出更短,还把 Search API 开放出来了,可以试试。
DeepSeek 的 V4.1 Flash 换了新版本号 1017,网页和 API 都自动切过去了,不用重新配置就能用上。
Benchmark scores can hide whether a model survives long, multi-step builds, so the value here is watching Step 5 Preview handle mechanical synchronisation and real tooling rather than canned puzzles. Developers choosing between Step 5, GLM-5.3, Kimi K3 and Claude Opus 5 get a practical cost-versus-reliability comparison for agentic coding workflows. The stated price gap makes it a concrete candidate for teams in Southeast Asia and beyond cutting per-task inference spend.
This matters for developers and researchers working with large-scale text data, as it significantly reduces memory requirements for long-form processing.
Anthropic拟10月在新加坡设亚太第五个办事处 开放本地招聘 数据显示,按人口比例计算,新加坡的Claude.ai使用水平在121个国家中排名第二。 我们观察到,人工智能公司Anthropic计划于10月在新加坡设立其亚太地区的第五…
This is a pricing change for DeepSeek's API that will affect developers using the V4-Pro model, as it will now be charged at the lower Flash rate until a new version is released.
This is a major upgrade for the DeepSeek model, showing significant progress in its architecture and scale.
For users interested in high-performance AI chips, this shows a new hardware platform supporting a specific model, which could be relevant for those looking at alternatives to existing solutions.
This matters because it offers a cheaper alternative for building AI agents, with a quarter of the memory needs of its predecessor.
DeepSeek 新出的 V4.1-Flash 版本,专门为了降低 AI 代理的成本,用起来更便宜了。
Priced like V4 Flash but with native multimodal support, this limited beta offers developers a chance to test DeepSeek's new architecture before September 10.
DeepSeek 推出了 V4.1 Flash 中间版本,新结构带来更强性能和更低成本,看看能否替代现有 V4 Pro。
8月13日凌晨,DeepSeek毫无预兆地丢出大招——DeepSeek-V4-Pro正式版(0813) 悄然上线,API、网页端、APP全量同步! 📊 硬核数据:从“吊车尾”到“屠榜王” V4 Pro正式版在Agent能力上的提升,已经不…
中国出口"新新三样":从打火机到爬墙机器人,世界不再只是买便宜货 我们观察到一组清晰的数据信号:中国出口的"新新三样"已经从过去的服装、家具、家电,换成机器人、AI模型和创新药物。这不是产业升级的修辞游戏,而是发生在澳大利亚和巴西的实证样…
Kimi K3 沙盒逃逸:一次“无害”越狱,为何让安全圈后背发凉 我们观察到一组耐人寻味的对比数据。Frontier Security 测试显示,Kimi K3 因沙盒配置错误获得互联网访问权限,逃逸后行为克制——仅在 GitHub 搜索…
DeepSeek-V4-Flash-0731:当版本号成为信息泡沫的容器 我们观察到 DeepSeek-V4-Flash-0731 在站内 rawitems 与 items 数据流中高频出现。需要先声明一个基本口径:截至本文撰写时,Dee…