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Nvidia决定投资30亿美元给Meta的Muse agent和Muse家族模型，以提高推论和训练性能，是对AI agents经济学的战略赌注。 然而，仍然存在挑战，这些挑战可能崩溃其赌注。
Nvidia和Meta星期一透露，Muse型号 — Wonder and Wonder Full —和agents将在Nvidia基础设施上运行。 Meta计划扩大Nvidia硬件的部署，包括使用Vera Rubin和Vera CPU作为下一代AI agents. 销售商也在寻找其他合作，包括使用Nvidia的OpenShell参考架构进行代理安全。
合作伙伴是Meta的消费者Muse agent在消费者中受到广泛欢迎，自9月8日和250万日常活跃用户介绍以来下载量达1 090万次。 该伙伴关系使Nvidia能够对个人AI agents的成功进行赌注，同时继续成为AI市场众多商贩的主要金融支持者和GPU供应商。 除了Meta之外，Nvidia还投资了其他AI销售商，包括OpenAI,Anthropic和SpaceXSI.
Nvidia对Muse的支持将大大促进对Muse agent，称 Sid Nag的推论，Tekonyx的分析家和创始人。
“这里的真实故事是日常代理活动的基础”,Nag 称。 “Agents将产生多项推断请求。 如果Muse成为消费者的窗口。.. 这会造成对大规模基础设施的重大需求。 因此，Nvidia获得了优化这些工作量的机会".
然而，捆绑超越硬件。 如果Meta和Nvidia深化他们的软件伙伴关系 - 同意使用OpenShell帮助Muse安全地在正确的环境中保存，并限制其获得真实的证书，那格又说这可以导致更大的整合。
“对此的需求可能很大，Nvidia正在定位成为该基础设施的供应商，但也在与OpenShell和大量Nvidia软件一起创建与Meta的软件集成”。 其他的Nvidia软件包括监测agent行为的Nvidia Sentry.
尽管Muse现在主要面向消费者和小企业，但其继续受到欢迎可能会扩展到企业，因为显然，许多雇员“将消费者行为带入工作场所”,Nag继续。 如果发生这种情况，Nvidia会有所收获。
“由于Muse在消费空间的采用，他们拥有大量工程资源来帮助推动未来的计算需求，然后血流成河。”
特别是对于代理AI系统，个人AI agents如Muse能否赚钱，尽管广受欢迎，Meta尚未使agent成为盈利引擎。
Meta对此投资有何义务
“Meta是否必须证明一定数量的生长为条件？” 纳格称。 “光靠计算不能解决瓶颈。”
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The deal will provide inference for the Muse personal agent.
2 Min Read
Meta
Nvidia’s decision to invest $3 billion in Meta's Muse agent and Muse family of models to improve inference and training performance is a strategic bet on the economics of AI agents. However, challenges exist that could collapse its wager.
Nvidia and Meta revealed on Monday that the Muse models – Wonder and Wonder Full - and agents will run on Nvidia infrastructure. Meta plans to expand its deployment of Nvidia hardware, including using Vera Rubin and Vera CPUs for its next-generation of AI agents. The vendors are also looking at other collaborations, including using Nvidia’s OpenShell Reference Architecture for agentic security.
The partnership comes after Meta's consumer Muse agent has seen massive popularity among consumers, with 10.9 million downloads since its introduction on Sept. 8 and 2.5 million daily active users. The partnership enables Nvidia to bet on the success of personal AI agents while continuing to be a major financial supporter of and GPU provider for a host of vendors in the AI market. In addition to Meta, Nvidia has invested in other AI vendors, including OpenAI, Anthropic and SpaceXSI.
Nvidia’s support for Muse will significantly boost inference for the Muse agent, said Sid Nag, analyst and founder at Tekonyx.
“The real story here is the foundation for everyday agentic activity,” Nag said. “Agents are going to generate multiple inference requests. If Muse becomes the window to consumers … that could create a significant need for massive infrastructure. As a consequence of that, Nvidia gains the opportunity to optimize these workloads."
However, the tie-up goes beyond hardware. If Meta and Nvidia deepen their software partnership - agreeing to use OpenShell to help keep Muse safely in the right environment and limit its access to real credentials - it could lead to greater integration, Nag added.
“The demand for this could be significant, and Nvidia is positioning itself to be the supplier of that infrastructure, but also creating the software integration with Meta, alongside OpenShell and a host of Nvidia software,” he said. Other Nvidia software includes Nvidia Sentry, which monitors agent behavior.
While Muse is now largely for consumers and small businesses, its continued popularity could extend into the enterprise, since there is a clear pattern that many employees “carry their consumer behavior into the workplace,” Nag continued. If that happens, Nvidia stands to gain.
“They have a significant amount of engineering resources to help drive the future compute demand as a consequence of Muse’s adoption in the consumer space, and then it bleeds into the enterprise space,” Nag said.
But it is still uncertain, especially amid mounting security concerns about agentic AI systems, whether personal AI agents such as Muse can make money. Despite its wide popularity, Meta has yet to make the agent a profit engine.
It’s also unclear what Meta’s obligations are regarding this investment.
“Is Meta required to demonstrate a certain amount of growth as a condition?” Nag said. “Compute alone cannot resolve bottlenecks.”
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