DeepSeek近期再次出现访问响应迟缓与短时中断，这类服务端波动迅速引发了广泛讨论。每一次系统抖动，都会引来社区关于新版本迭代的猜想。从官方评测代码仓库中显露的标识，到供应链传出华为昇腾950可能承接训练任务的消息，关于DeepSeek V5的线索确实在逐步汇集。不过客观审视现有事实，这些迹象更多体现了前期工程筹备与算力验证，距离正式发布仍有明确的时间差。
DeepSeek 服务器又崩了，要发新模型了吗？
DeepSeek 又双叒叕崩了，DeepSeek网页端与API接口在多地出现了连接超时、服务降级等异常现象。上个月15日DeepSeek就出现过一次服务器繁忙，不到一个月，DeepSeek 崩了又再次上热搜。
平时其他软件崩了，大家多半在社交平台上吐槽几句体验差；但换成 DeepSeek，大家的反应往往画风突变：是不是后台在偷偷灰度切模型？是不是下一代版本准备端上来了？
作为每天离不开它的重度用户，我也很希望是新模型上线的前奏。但冷静下来理理最近各种渠道露出的线索，就会发现事情没那么简单。服务器波动多半只是单纯的扛不住流量，而真正的下一代 V5，可能还在路上。
代码里露出的蛛丝马迹：官方已经在悄悄做准备
也不怪大家觉得DeepSeek崩了是要发布新模型，之前就有技术人员在DeepSeek官方的测试工具链（harness）代码仓库中，发现了与V5相关的配置参数与模型占位标识。
在 DeepSeek 官方的一个测试代码文件里，有人翻出了几个熟悉的命名：一个是 v5-open，另一个是 v5-next。
用大白话来解释这两个名字的讲究：
- v5-open 在代码里的限制极其宽松。这说明如果官方想偷袭，只要在后台把开关一合，我们用现成的旧版本客户端或者网页端，就能在完全无感知的情况下直接用上新模型。
- v5-next 则留了版本限制，意味着它可能带有一些全新的交互或者更复杂的调用功能，必须等客户端升级才能解锁。
9月份官方上线 V4.1 Flash 时，即便底层框架大改，名字也还是留在了4字头。这次代码直接跳到5，说明团队内部肯定立项了下一代的大版本。按照他们的习惯，后续很可能还是走高低搭配的路线，一个负责极速响应，一个负责死磕极限性能。
都在聊的国产芯片训练，究竟是怎么回事？
关于 V5，目前外界讨论最多、也是最容易感到懵比的一条消息，就是「可能用华为昇腾芯片来训」。
很多朋友看到这里可能会问：大模型用什么芯片训，跟我们日常使用有很大关系吗？
关系非常大。过去大家用 DeepSeek，之所以价格便宜、响应飞快，是因为他们在底层做到了极致的压榨优化。但之前国产算力更多是用在推理上，也就是模型训练好之后拿来回答大家的问题。
真正卡脖子的，是第一步的预训练，也就是花几个月时间、成千上万张卡泡在一起把模型从零教出来，这个过程对集群通信和系统稳定性的要求极其苛刻。
其实最近有几件事已经在铺垫了：
DeepSeek 前阵子面向昇腾平台开源了一整套编译和底层通信工具，把配套的软件路给铺平了；国内也有科研团队联动昇腾 910C 集群，完成了万亿参数模型后期的全参数微调。
也就是说，软件地基打好了，后期调教也验证通过了。现在大家最期待的悬念，就是他们能不能一鼓作气，直接在国产集群上从零把 V5 完完整整地训出来。行业机构提到 2027 年这个时间点，更多是在指下一代硬件生态成熟的长线周期，绝不是说这两年团队什么都不干。
社区传得很神的四个猜想，哪些比较靠谱？
除了代码和芯片，技术论坛里聊得最起劲的，还是 V5 到底能帮我们干些什么。把那些玄乎的词翻译过来，主要有这么四个方向：
第一，从「陪聊助手」变成「干活的智能体」。 现在的模型大多是我们问一句它答一句。社区里普遍推测，DeepSeek V5 会大幅强化自主干活的能力，比如你给它一个复杂目标，它能自己拆解步骤、查资料、调各种工具、写代码，一口气把整套流程跑完。
第二，直接看图写前端界面的能力。 有些内测线索提到，模型在前端视觉代码上做了专项训练。以后丢给它一张设计草图或者软件截图，它可能不仅能认出图里有什么，还能直接吐出可运行的精细代码，甚至连交互效果都给顺手写好。
第三，底层彻底重构，把运行效率挤压到极限。 V5 大概率不会是修修补补的微调版，而是从零起步的新底座。结合他们一贯的风格，团队肯定会继续优化混合专家架构，在保证脑子足够聪明的同时，让每一次回答调用的计算量更少，模型自然就不容易卡顿。
第四，继续走开源路线，调用成本再压一压。 网传的成本再降几百倍多半是夸张的调侃，但继续开源权重基本上是板上钉钉的事。毕竟 DeepSeek 最大的底牌就是靠开源把生态做大，让全球的开发者一起来找优化方案。
说了这么多，怎么判断它是不是真的要来了？
把服务器崩溃当成发布预告，只能算用户苦中作乐的自嘲。网站卡顿大概率就是用的人太多，机房服务器顶不住了。
如果哪天我们想知道 V5 是不是真的要端上桌了，不需要到处打听小道消息，看准两个动静就够了：
一个是看他们的 GitHub 官方仓库，有没有正式上传新模型的分词器和权重配置文件，只要合进去了，东西就是真的做完了；
另一个是看开放平台的开发者后台，模型选择列表里有没有真的出现能调通的新接口。
在此之前，每次崩了大家不妨淡定喝口水。它走在一条很扎实也很硬核的路上，好东西多打磨一阵子，完全值得我们再等等。
本文由 AI图鉴自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
The late and short-term interruption of DeepSeek ' s recent visit response quickly triggered extensive discussions. Each time the system trembles, it leads to community speculation about the new version. There is a gradual convergence of clues on DeepSeek V5 from the official evaluation of the logo in the code warehouse to the transmission of news from the supply chain that 950 may have taken on a training mission. However, an objective review of the existing facts shows that the pre-construction and calculus tests are more significant, and that there is still a clear time lag from formal publish.
DeepSeek, the server is falling again. Are you going to send a new model?
DeepSeek has also collapsed, and the DeepSeek web-end interface with API has multiple anomalies such as connection to timeout and downgrading of services. DeepSeek had a busy server on 15th last month, less than a month before DeepSeek collapsed and went hot again.
The rest of the software collapsed, and most of you gave up on social platforms, but DeepSeek's reaction was often windy: was it backstage in a sneak-up ash cutting model? Was it next generation?
As a heavy user who can't get away with it every day, I would also like to be a prelude to the new model. But calmly consider the recent revelations from various sources and find that things are not that simple. Most of the fluctuations in servers are simply unstoppable, while the real next generation, V5, may still be on the road.
It's a sign from the code: official preparations are under way.
It is no wonder that DeepSeek fell to the new model of publish, after technicians found V5-related configuration parameters and model location signs in the official DeepSeek testing tool chain (harness) code warehouse.
In an official DeepSeek test code file, several familiar names were turned over: v5-open and v5-next.
The two names are explained in plain language:
- v5-open is extremely restrictive in code. This means that if the official wants to sneak in, we can use the new model directly without any sense of awareness, if we put the switch in the backstage and we use the old version of the client or the web page.
- v5-next leaves a version limit, which means that it may have some new interactive or more complex call functions and must wait for the client to upgrade to unlock the lock.
When V4.1 Flash was officially on the line in September, the name remained at the top of four words, even though the bottom frame had changed considerably. This time, the code went straight to five, which means that there must be a big version of the next generation within the team. According to their habits, it is likely that the follow-up will follow a high-to-low combination route, with one responsible for the rapid response and one responsible for the death-to-exceed performance.
What's going on?
With regard to V5, one of the most discussed, and most easily symmetrical, news is that "the Chinese chip may be used for training".
Many of our friends may see it here and ask, "What kind of chip training does LLM use?
Very much. In the past, DeepSeek was used as a cheap, fast-responding tool because of their extreme pressure optimization at the bottom. But before that, national production was more used for reasoning, that is, to answer questions when models were trained.
The first step of pre-training, which took several months and tens of thousands of card pops together to teach the model from zero, was the real craziness of cluster communication and system stability.
In fact, a few things have been laid recently:
DeepSeek, in the run-up to the launch of the platform, produced a set of codification and bottom-up communication tools that paved the associated software circuits; there were also scientific teams working on 910C clusters in the country, completing the full-parametric fine-tuning of the trillion parameter model post-production.
In other words, the software foundation is ready and post-production is validated. Now the question that you're looking forward to is whether they can get a lot of air and go straight to zero V5 on the national production cluster. Industry agencies mention this point in 2027, which refers more to the long-line cycle in which the next generation of hardware is ecologically mature, not to say that the team did nothing for two years.
The community has four divine conjectures. What's more?
Besides code and chips, the most exciting thing to talk about in the technology forum is what V5 can do for us. The four main directions are to translate them:
First, there was a shift from a "talking assistant" to a "working AI agent". Most of the models now are ours. It is widely assumed in the community that DeepSeek V5 will significantly enhance its ability to work on its own, for example, by giving it a complex goal of dismantling its own steps, searching for information, adapting tools, writing codes, and running the whole process in one breath.
Second, the ability to see the front-end interface directly. Some internal clues mention that the model has been specially trained in front-end visual codes. Later on, it was given a sketch or software cut-off that might not only recognize what was in the map, but also throw out operational fine codes, and even write the interactive effects.
Third, the ground floor is completely re-engineered to push operational efficiency to the limit. V5 is probably not a patch-up fine-tuning, but a new base starting from zero. Together with their usual style, the team will certainly continue to optimize the mix of specialist structures, while ensuring that the brain is smart enough to make each response count less and the model will naturally not be easy for Carden.
Fourth, keep moving away from the source route and press the call costs. More than a few hundred times less than the cost of the web is an exaggeration, but it is essentially a matter of maintaining open weights. After all, DeepSeek's most important base is to use open sources to expand the ecology and bring global developers together to find optimising solutions.
How do you know if it's coming?
Treating server crashes as publish warnings can only be a mockery of the user ' s suffering. The website, Carden, is probably using too many people, and the server can't stand it.
If one day we want to know if V5 is really going to be on the table, we don't have to ask around about the little news.
One is to see if their GitHub official warehouse has officially uploaded a new model's symmetry and weight profile, and once it's integrated, it's really finished;
The other is to look at the developer backstage of the open platform and see if any new interfaces are actually available in the model selection list.
Before that, let's have a drink once and for all. It's on a very solid and hard-core road, and it's worth a little more grinding.
Auto-fetched and translated by AI Atlas. All rights belong to the original author.