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北京时间·🕒 发布 20:19:23时区推断·⟳ 抓取 20:26:45·⚡ 决策 07-31 20:31:34 +4m49s·87.8 天前
彭博称月之暗面 Kimi 通过阿里巴巴获得约2万颗英伟达芯片算力
这条新信息确认阿里云向月之暗面提供大规模AI算力,但未披露租期、价格、利润率或对阿里云收入的增量,难以支撑阿里巴巴(BABA.US/09988.HK)市值级短线重定价。
📄 原文Bloomberg↗ 原文
Chinese AI champion Moonshot has a computing power agreement with Alibaba Group Holding Ltd.for the use of around 20,00…
不做 阿里巴巴(BABA.US)
超大市值主标的,报道未披露算力合同金额、租期、利润率或阿里云收入增量,且阿里云AI价值重估已在7月初被交易;当前不追。
不做 阿里巴巴-W(09988.HK)
与BABA.US同源,港股已收盘且本条不是ADR收敛事件;缺少可量化合同增量和独立港股edge,不做。
不做 英伟达(NVDA.US)
事件只说明Moonshot使用阿里云既有Nvidia算力,未确认新增采购订单;对英伟达市值级短线增量不足,不做。
不做 寒武纪(688256.SH)
本条不是国产替代/自研算力催化,反而说明Kimi仍依赖Nvidia算力;且Kimi算力主题已在7月20日前后被交易,不做。
不做 海光信息(688041.SH)
未出现Kimi采购海光芯片或国产算力集群验证的新增事实,不能仅凭算力紧张旧主题做多。
不做 中芯国际(688981.SH)
报道不涉及晶圆制造订单、先进制程采购或国产GPU供应链转单,对中芯国际缺少短周期直接传导。
展开详情(成交明细 / 研究档案 / 原文全文 / 决策记录链)
研究档案
🔎 新鲜度:最早出现 2026-07-31 · 扩散 low · price-in 风险 medium ↗
消息传播链
- 彭博援引知情人士称月之暗面通过阿里巴巴使用约2万颗英伟达芯片算力,具体芯片型号存在争议。市场反应:抓取时美股仍为盘前;BABA.US 盘前约+1.14%,NVDA.US 盘前约+3.59%。
- 月之暗面、阿里巴巴和英伟达拒绝评论;阿里巴巴否认向月之暗面提供H200算力,但未否认提供2万颗英伟达芯片算力。
- 2026-07-20其它内部KB/阿尔法派复盘非一手内部库此前已覆盖Kimi K3发布后算力紧张、暂停新用户订阅,并将其映射到算力租赁和国产算力主题,说明大方向并非首次进入市场。市场反应:国产算力核心标的随后波动剧烈,688256.SH近20日-24.02%,688041.SH近20日-15.16%。
关键理由
- 这条新信息确认阿里云向月之暗面提供大规模AI算力,但未披露租期、价格、利润率或对阿里云收入的增量,难以支撑阿里巴巴(BABA.US/09988.HK)市值级短线重定价。
- 对英伟达(NVDA.US)而言,2万颗 Hopper 算力更像既有芯片集群的租赁/转租使用,不是新增采购订单,且中国出口限制反而使增量可持续性不清。
- 对寒武纪(688256.SH)、海光信息(688041.SH)、中芯国际(688981.SH)等国产算力链,这不是“去英伟达/国产替代”催化,反而说明Kimi核心训练仍依赖海外GPU,不能反手做多国产算力篮子。
主要风险
- 若后续阿里巴巴或月之暗面正式确认合同金额、租期和高毛利GPU云收入,阿里云估值增量可能需要重估。
- 若美国监管进一步指向阿里云协助规避出口管制,才可能形成公司级风险;当前报道未确认阿里巴巴存在违规事实。
反向证据
- 做多前查反向 · 来源 kb_search · 日期 2026-07-08 · 影响 weakens
内部库已有阿里云收入增速超预期、AI商业化和估值重估讨论,BABA/09988近20日均涨约18%,削弱本条追多edge。
检索:阿里巴巴 云业务 AI 估值 已price in 7月8日 大涨 09988 BABA - 做多前查反向 · 来源 kb_search · 日期 2026-07-31 · 影响 weakens
本条报道同时指出Kimi在重要指标上超过Qwen,阿里云提供算力的利好被自家模型竞争力反证部分抵消。
检索:阿里巴巴 Qwen Kimi K3 竞争 落后 算力 阿里云 反向证据 原文 ↗ - 做多前查反向 · 来源 kb_search · 日期 2026-07-21 · 影响 invalidates
Kimi算力紧张到国产算力链的映射已在7月20日至21日被覆盖;本条新增事实反而指向Nvidia算力依赖,不能支持新的国产算力LONG。
检索:寒武纪 海光 中芯 Kimi K3 算力紧张 国产算力 7月20 7月21 price in - 做多前查反向 · 来源 web · 日期 2026-07-31 · 影响 weakens
事件描述为月之暗面接入阿里云已有Nvidia芯片算力,未确认新增芯片采购、交付或英伟达收入增量。
检索:Moonshot Kimi Alibaba 20000 Nvidia Hopper existing compute rental new order 原文 ↗
工具调用 · 历史记录,结果未知(5 种)
- search_processed_events · 结果未知
- stock_quote · 结果未知
- price_snapshot · 结果未知
- query_modeling_kb · 结果未知
- kb_search · 结果未知
原文全文
展开原文 · 5,323 字
Chinese AI champion Moonshot has a computing power agreement with Alibaba Group Holding Ltd.for the use of around 20,000 Nvidia Corp. chips, underscoring China’s continued reliance on Western semiconductors to fuel its AI development, according to people with knowledge of the companies’ operations.
That hardware forms a substantial chunk of the overall computing capacity Moonshot uses for its Kimi models, said the people, who requested anonymity to describe a confidential deal. The Moonshot team burst onto the global stage earlier this month with the debut of Kimi K3, an open-source AI model that goes nearly toe-to-toe with the leading models from the likes of OpenAI and Anthropic on some metrics.
Moonshot, Alibaba and Nvidia declined to comment on the arrangement.
Alibaba is one of Moonshot’s largest investors and expects the companies it backs to use its cloud, the people said. But the two Chinese firms are also competitors — and now Kimi, using infrastructure provided by Alibaba, has surpassed Alibaba’s own Qwen products in important performance metrics. That’s been a source of disappointment for some people at Alibaba, according to one person familiar with internal talks, given that these rival AI teams have access to similar training resources.
Kimi K3 sparked concerns from Washington to Wall Street to Silicon Valley that Chinese AI companies are closing the gap with US frontier labs, a moment with echoes of Deepseek’s breakthrough last year. Much of the worry centers on the question of hardware.
Read More: China AI Sensation Moonshot’s Gamble on Big Models Pays Off
The US has for years restricted China’s access to Nvidia chips — and to the tools needed to make its own AI processors — all while American firms are plowing hundreds of billions of dollars into data centers filled with these coveted accelerators. And yet Moonshot managed to build K3 anyway. That ignited a debate among investors about the economics of the Western AI infrastructure buildout, and among policymakers about the effectiveness of the US government’s approach.
But according to a White House official, Moonshot skirted the rules. Michael Kratsios, who directs the office of science and technology policy, last week accused the company of illegally acquiring Nvidia’s most advanced Blackwell chips, which are the most powerful AI accelerators on the market. It’s unclear how many of these processors the US government believes Moonshot has.
Sales of these chips to Chinese firms have always required US permission, and President Donald Trump has explicitly said he doesn’t want China buying accelerators from Nvidia’s Blackwell lineup. US officials also believe Deepseek has Blackwell chips, Bloomberg has reported.
Read More: US Official Says Moonshot Accessed Banned Nvidia Chips
Yet the US rules generally allow Chinese firms to access these very same chips via compute rental agreements. Kratsios said Moonshot did this, too, via an unnamed party in Thailand — and that the company likely used these accelerators for training K3. He also claimed, without providing concrete evidence, that Moonshot used a technique called distillation to train K3 using outputs generated by Anthropic’s top Fable model. That would help compensate for more limited computing resources.
A person familiar with Moonshot’s procurement strategy confirmed that the company does indeed have a channel for accessing Blackwell processors via Southeast Asia. They didn’t specify whether this was a rental channel — which is legal, in most cases — or direct purchases, which are a breach of US regulations. The Information reported this week that Moonshot is seeking additional Blackwell processors to train its next model.
The 20,000 chips Moonshot accesses via Alibaba, meanwhile, are from Nvidia’s earlier generation of Hopper products, the people familiar with the agreement said. Hoppers were the industrial standard for training and running AI models until Nvidia launched Blackwells.
The top processors from that lineup have always required a US export license to ship to China, while less advanced models — the H800 and H20 — were at one point legal to ship freely but now need a green light from Washington.
Multiple people close to Moonshot said the agreement is specifically for H200 chips, the most powerful Hopper accelerators. An Alibaba spokesperson denied that the company provides H200-powered compute to Moonshot. They did not deny that the company supplies 20,000 Nvidia chips of compute capacity to Moonshot, and declined to comment on what chips — if not H200s — form the basis of the agreement.
The US has issued licenses for some direct H200 sales to China, a major policy reversal under Trump. But a senior US official recently said only a “trivial” number have actually been shipped with those permits. Beijing has been hesitant to grant approval for domestic firms to purchase the chips and has pressured them to use Chinese-made chips, like those from Huawei Technologies Co.
Chinese cloud companies have sometimes worked around the US controls by accessing restricted chips owned by foreign firms in overseas locations — which is generally allowed — and then re-leasing that compute as part of their own cloud. The physical location of the compute that Alibaba provides to Moonshot is unclear.
That hardware forms a substantial chunk of the overall computing capacity Moonshot uses for its Kimi models, said the people, who requested anonymity to describe a confidential deal. The Moonshot team burst onto the global stage earlier this month with the debut of Kimi K3, an open-source AI model that goes nearly toe-to-toe with the leading models from the likes of OpenAI and Anthropic on some metrics.
Moonshot, Alibaba and Nvidia declined to comment on the arrangement.
Alibaba is one of Moonshot’s largest investors and expects the companies it backs to use its cloud, the people said. But the two Chinese firms are also competitors — and now Kimi, using infrastructure provided by Alibaba, has surpassed Alibaba’s own Qwen products in important performance metrics. That’s been a source of disappointment for some people at Alibaba, according to one person familiar with internal talks, given that these rival AI teams have access to similar training resources.
Kimi K3 sparked concerns from Washington to Wall Street to Silicon Valley that Chinese AI companies are closing the gap with US frontier labs, a moment with echoes of Deepseek’s breakthrough last year. Much of the worry centers on the question of hardware.
Read More: China AI Sensation Moonshot’s Gamble on Big Models Pays Off
The US has for years restricted China’s access to Nvidia chips — and to the tools needed to make its own AI processors — all while American firms are plowing hundreds of billions of dollars into data centers filled with these coveted accelerators. And yet Moonshot managed to build K3 anyway. That ignited a debate among investors about the economics of the Western AI infrastructure buildout, and among policymakers about the effectiveness of the US government’s approach.
But according to a White House official, Moonshot skirted the rules. Michael Kratsios, who directs the office of science and technology policy, last week accused the company of illegally acquiring Nvidia’s most advanced Blackwell chips, which are the most powerful AI accelerators on the market. It’s unclear how many of these processors the US government believes Moonshot has.
Sales of these chips to Chinese firms have always required US permission, and President Donald Trump has explicitly said he doesn’t want China buying accelerators from Nvidia’s Blackwell lineup. US officials also believe Deepseek has Blackwell chips, Bloomberg has reported.
Read More: US Official Says Moonshot Accessed Banned Nvidia Chips
Yet the US rules generally allow Chinese firms to access these very same chips via compute rental agreements. Kratsios said Moonshot did this, too, via an unnamed party in Thailand — and that the company likely used these accelerators for training K3. He also claimed, without providing concrete evidence, that Moonshot used a technique called distillation to train K3 using outputs generated by Anthropic’s top Fable model. That would help compensate for more limited computing resources.
A person familiar with Moonshot’s procurement strategy confirmed that the company does indeed have a channel for accessing Blackwell processors via Southeast Asia. They didn’t specify whether this was a rental channel — which is legal, in most cases — or direct purchases, which are a breach of US regulations. The Information reported this week that Moonshot is seeking additional Blackwell processors to train its next model.
The 20,000 chips Moonshot accesses via Alibaba, meanwhile, are from Nvidia’s earlier generation of Hopper products, the people familiar with the agreement said. Hoppers were the industrial standard for training and running AI models until Nvidia launched Blackwells.
The top processors from that lineup have always required a US export license to ship to China, while less advanced models — the H800 and H20 — were at one point legal to ship freely but now need a green light from Washington.
Multiple people close to Moonshot said the agreement is specifically for H200 chips, the most powerful Hopper accelerators. An Alibaba spokesperson denied that the company provides H200-powered compute to Moonshot. They did not deny that the company supplies 20,000 Nvidia chips of compute capacity to Moonshot, and declined to comment on what chips — if not H200s — form the basis of the agreement.
The US has issued licenses for some direct H200 sales to China, a major policy reversal under Trump. But a senior US official recently said only a “trivial” number have actually been shipped with those permits. Beijing has been hesitant to grant approval for domestic firms to purchase the chips and has pressured them to use Chinese-made chips, like those from Huawei Technologies Co.
Chinese cloud companies have sometimes worked around the US controls by accessing restricted chips owned by foreign firms in overseas locations — which is generally allowed — and then re-leasing that compute as part of their own cloud. The physical location of the compute that Alibaba provides to Moonshot is unclear.
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