AI视频

上影与筷子科技建成专业级AI片场 50台DGX+万亿Token补贴

Shanghai Film & Kuaizi Launch Professional AI Studio 50 DGX Servers + Trillion-Token Subsidies

50台DGX服务器、万亿Token补贴、专业影视工作流整合——上影集团与筷子科技合作的AI片场正式落地,AI视频从玩具走向工业化生产。

50 DGX servers, trillion-token subsidies, integrated professional film workflows — Shanghai Film Group and Kuaizi Technology's AI studio officially launches, moving AI video from toy to industrial production.

No.042 2026.08.24 约 5 分钟阅读 ~5 min read

AI生成视频,正在从"玩具"变成"生产工具"。

8月24日,上影集团与筷子科技联合宣布,国内首个专业级AI片场正式落地。配置有多豪华?50台DGX服务器组成的算力集群、专门面向影视制作优化的模型矩阵、万亿Token级别的创作补贴,一整套面向专业影视工作流的AI工具链。

这不是玩家用Sora或者Kling生成几个搞笑短视频的玩法,这是真金白银投入、面向专业影视生产的基础设施。目标很明确:让AI真正进入电影、电视剧、广告的工业化生产流程,而不是停留在爱好者的玩具阶段。

为什么是"片场",不是"平台"?

注意这个命名:叫"AI片场",不叫"AI视频平台"。这两个词的区别,就是消费级工具和生产级工具的区别。

普通的AI视频平台,你输入一段文字,它给你生成一段视频——简单、方便,但质量不可控、风格不可控、连贯性不可控,生成10条可能有1条能用,剩下9条都是废片。这对于发个社交媒体短视频没问题,但对于拍电影、做广告来说,根本没法用。

"AI片场"的思路完全不同。它不是"你输入prompt我输出视频"的黑盒,而是一整套模拟真实片场工作流的生产环境:有分镜工具、有角色一致性工具、有场景管理、有镜头控制、有后期调色、有多人协作流程。导演可以像在真实片场一样控制"机位"、"灯光"、"演员表演",而不是像抽卡一样反复roll prompt。

50台DGX服务器是什么概念?单台DGX的算力相当于几百台消费级显卡,50台组成的集群可以同时跑多个视频生成任务,支持多团队并行创作,而且生成速度可以比消费级服务快几十倍。万亿Token补贴意味着入驻的创作者和团队不用自己承担高昂的算力成本,可以把精力集中在创作本身。

传统影视公司为什么要All in AI?

上影不是一家科技公司,是中国历史最悠久的电影制片厂之一——《大闹天宫》《哪吒闹海》这些经典动画都是上影做的。这样一家传统影视巨头,为什么要大手笔投入建AI片场?

因为他们看到了趋势:AI不是来取代影视创作的,是来重构影视生产流程的。现在的电影制作,从概念设计、分镜绘制、预演(Pre-vis)、特效制作到预告片剪辑,每一个环节都有AI可以大幅提效的空间。以前概念设计要画师画几周,现在AI几天就能出几十版方案;以前预想要花几个月做CG预演,现在AI实时生成;以前群众场面需要找几百个群演,现在AI可以生成。

这不是说导演和演员要失业了,而是说生产效率会有数量级的提升。以前拍一部电影需要几年,以后可能只需要几个月;以前做特效需要几千万,以后成本可能降一个零。

上影不是第一个吃螃蟹的。好莱坞早就在用AI做剧本分析、预告片剪辑、特效辅助;Netflix、Disney都有自己的AI视频研究团队。但上影这个AI片场的不同之处在于,它不是大公司内部的工具,而是开放给整个行业使用的基础设施——中小影视团队、广告公司、独立创作者,都可以入驻使用。

当然,AI视频现在还有很多问题:物理一致性不够、角色容易崩、长视频连贯性差、手部细节经常出错。但这些问题都是工程问题,不是原理问题——只要有足够的算力、足够的数据、足够多的专业用户反馈,迭代速度会非常快。

从文字生成图片用了3年走到商用,文字生成视频可能只需要2年。上影的AI片场,就是这个拐点的标志之一。以后回头看,2026年可能就是AI视频从"玩具"变成"工具"的那一年。

明天见。

AI-generated video is moving from "toy" to "production tool."

On August 24, Shanghai Film Group and Kuaizi Technology jointly announced the launch of China's first professional-grade AI Film Studio. How serious is the setup? A compute cluster of 50 DGX servers, a model matrix specifically optimized for film and television production, trillion-token level creative subsidies, and an entire AI toolchain integrated with professional film workflows.

This isn't hobbyists generating funny short videos with Sora or Kling. This is serious capital investment in infrastructure for professional film and television production. The goal is clear: get AI actually into the industrial production pipelines of movies, TV series, and commercials — not stuck in the enthusiast toy phase.

Why "Studio" and Not "Platform"?

Notice the naming: it's an "AI Studio," not an "AI video platform." That distinction is exactly the difference between consumer tools and production tools.

Ordinary AI video platforms work like this: you input text, it generates a video — simple, convenient, but quality is inconsistent, style is uncontrolled, coherence is unreliable. Generate 10 clips and maybe 1 is usable; the other 9 are garbage. That's fine for social media shorts, but useless for making movies or commercials.

The "AI Studio" concept is fundamentally different. It's not a black box of "prompt in, video out." It's a full production environment simulating real studio workflows: storyboarding tools, character consistency tools, scene management, camera controls, color grading, multi-person collaboration pipelines. Directors can control "camera angles," "lighting," and "actor performances" just like on a real set — instead of rolling prompts like a gacha game.

What does 50 DGX servers mean? A single DGX has compute equivalent to hundreds of consumer GPUs. A 50-server cluster can run multiple video generation tasks simultaneously, supporting parallel creation across multiple teams, at speeds dozens of times faster than consumer services. Trillion-token subsidies mean resident creators and teams don't bear the exorbitant compute costs themselves, and can focus on creation.

Why Is a Traditional Film Company Going All-In on AI?

Shanghai Film Group isn't a tech company — it's one of China's oldest film studios, responsible for classics like *Havoc in Heaven* and *Nezha Conquers the Dragon King*. Why would such a traditional film giant invest heavily in an AI studio?

Because they see the trend: AI isn't here to replace filmmaking — it's here to restructure film production pipelines. In modern filmmaking, from concept art, storyboarding, pre-visualization, VFX production to trailer editing, AI can dramatically boost efficiency at every step. Where concept art once took painters weeks, AI can generate dozens of iterations in days. Where pre-vis once took months of CG work, AI generates it in real time. Where crowd scenes once required hundreds of extras, AI can generate them.

This doesn't mean directors and actors are out of jobs. It means production efficiency improves by orders of magnitude. Where a film once took years, it might take months. Where VFX once cost tens of millions, costs could drop by a factor of ten.

Shanghai Film isn't the first mover. Hollywood has been using AI for script analysis, trailer editing, and VFX assistance for years; Netflix and Disney both have internal AI video research teams. But what's different about Shanghai Film's AI studio is that it's not an internal tool for a single company — it's infrastructure open to the entire industry: small and mid-sized film teams, ad agencies, independent creators can all come use it.

Of course, AI video still has plenty of issues: physical consistency isn't there, characters break easily, long-form coherence is poor, hand details are often wrong. But these are engineering problems, not fundamental impossibilities — with enough compute, enough data, and enough professional user feedback, iteration will be fast.

Text-to-image took three years to reach commercial viability. Text-to-video might only take two. Shanghai Film's AI studio is one of the markers of that inflection point. Looking back, 2026 might be remembered as the year AI video went from "toy" to "tool."

See you tomorrow.

50台DGX建起的不是AI片场,是电影工业的第一个基因编辑实验室。

—— Dawn Vision编辑部

Fifty DGX stations don't build an AI studio — they build the film industry's first gene editing lab.

— The Dawn Vision Editorial Desk
上影 · 筷子科技 · 50台DGX · AI视频 · 影视工业化 · AIGC · 虚拟制片 · 拐点
Shanghai Film · Kuaizi Technology · 50 DGX · AI video · film industrialization · AIGC · virtual production · inflection point
Sources · 信源 Sources

本文基于 Dawn Vision 认知引擎处理的 6 个源信号生成,经编辑部人工审核。素材来源:量子位、爱范儿、电影行业媒体报道。

This article was generated by the Dawn Vision cognitive engine processing 6 source signals, with human editorial review. Sources: Qbitai, Ifanr, film industry media reports.