The focus of the global AI computing power competition is shifting from simple graphics rendering acceleration to the underlying architecture that supports efficient operation of intelligent agents. On June 1, NVIDIA officially launched a new central processing unit (CPU) called "Vera," aiming to fully capture the upcoming AI Agent era. This major product release boosted NVIDIA's stock price in after-hours trading, with gains rapidly expanding to as much as 3%.

As a powerful hardware designed to drive complex computations behind modern AI factories, Vera chip's core mission is to tackle CPU-intensive workloads. Its applications are extremely broad, covering core aspects such as cutting-edge agent-based AI tasks, reinforcement learning, high-throughput data processing, and complex task orchestration. Official test data shows that Vera achieved an 80% disruptive performance improvement in executing agent-based tasks compared to traditional x86 architecture CPUs.

This technological breakthrough has already received strong endorsement from industry giants. It was revealed that leading global artificial intelligence laboratories OpenAI, Anthropic, and commercial space giant SpaceX have already taken early positions, becoming the first enterprise-level adopters of NVIDIA's Vera chip. The involvement of these institutions at the forefront of AI research and extreme industrial applications will undoubtedly accelerate the verification of this chip in complex business scenarios in both physical and virtual worlds.

Industry analysts point out that the next phase of competition between large models and embodied intelligence is essentially about the response and scheduling efficiency of autonomous intelligent agents in complex scenarios. By directly optimizing for AI agents and bypassing traditional computing paths, NVIDIA not only fills a critical gap in its full-stack AI infrastructure but also has the potential to trigger a computing power revolution across the industry, shifting from x86 to new AI-native architectures.