NvidiaのCEO Jensen Huangは、すべての企業はOpenClaw戦略を持つべきだと考えています。Nvidiaはそれを提供するためにここにあります。
NvidiaはエンタープライズグレードのAIエージェントプラットフォーム NemoClaw を開発しました。Huang announcedは月曜日のGTC基調講演で発表されました。プラットフォームは、企業自身のハードウェア上でAIエージェントをローカルに構築・実行するための人気のオープンソースフレームワークOpenClawの上に構築されています。
The new open source platform is essentially OpenClaw with enterprise-grade security and privacy features baked in. The idea is to turn OpenClaw into a secure platform that enterprises can tap into with one command, giving them control over how agents behave and handle data, according to Nvidia.
“For the CEOs, the question is, what’s your OpenClaw strategy?” Huang said onstage. “We need it. We all have a Linux strategy. We all needed to have an HTTP HTML strategy, which started the internet. We all needed to have a Kubernetes strategy, which made it possible for mobile cloud to happen. Every company in the world today needs to have an OpenClaw strategy, an agentic systems strategy.”
Nvidia worked with OpenClaw’s creator Peter Steinberger to develop NemoClaw, Huang said.
Once released, NemoClaw users will be able to tap any coding agent or open-source AI model, including Nvidia’s NemoTron open models to build and deploy AI agents. The platform allows users to access cloud-based models on their local devices. The platform is hardware agnostic — it doesn’t need to run on Nvidia’s own GPUs — and integrates with NeMo, Nvidia’s AI agent software suite.
For now, Nvidia is describing NemoClaw as an early-stage alpha release. “Expect rough edges. We are building toward production-ready sandbox orchestration, but the starting point is getting your own environment up and running,” the company stated on its website in a note directed toward developers.
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\t\t\tBuilding enterprise AI agent platforms has become the du jour obsession of the AI space in recent months.
OpenAI launched Frontier, its open platform for enterprises to build and manage AI agents, in February. In December, global research firm Gartner released a report about how governance platforms for AI agents would be the crucial infrastructure needed for enterprises to adopt the AI tech. Nvidia clearly got the message.
“OpenClaw gave us, gave the industry exactly what it needed at exactly the time,” Huang said. “Just as Linux gave the industry exactly what it needed at exactly the time, just as Kubernetes showed up at exactly the right time, just as HTML showed up. It made it possible for the entire industry to grab on to this open source stack and go do something with it.”
