NVIDIA CEO Jensen Huang Systematically Explains Vera Rubin Platform Design Logic at GTC Taipei 2026
NVIDIA CEO Jensen Huang systematically explained the design logic of the Vera Rubin platform during his speech at GTC Taipei 2026, emphasizing that it is not a single chip but an end-to-end full-stack system designed for Agents, with participation from 40,000 engineers across the company.
Vera Rubin employs a heterogeneous architecture of GPU (inference brain) + CPU (orchestration engine) + BlueField DPU (security layer), supporting tool invocation, KV cache memory systems, and end-to-end encryption.
All CUDA X libraries will be equipped with Agent Skills, and in the future, Agent invocation efficiency will far exceed that of humans.
In market mechanisms, AI infrastructure is accelerating its transformation towards Agent full-stack systems, with funding shifting from single GPU purchases to end-to-end AI factory solutions. NVIDIA benefits from a system-level dominance advantage, while traditional hardware suppliers are pressured by insufficient integration capabilities.
Source: Public Information
ABAB AI Insight
NVIDIA previously achieved GPU+CPU foundational synergy through Grace Blackwell, and this time Vera Rubin further optimizes the architecture for the aggregation of distributed computing characteristics of Agents: GPUs handle large model reasoning, CPUs manage the entire process scheduling, and DPUs ensure security and encryption, continuing its multi-stage transformation path from a GPU company to a system company, and then to an AI infrastructure company.
On the capital path, NVIDIA concentrates the resources of its 40,000 engineers on full-stack collaborative design and Agent Skills development, motivated to provide customers with a complete solution for immediately building AI factories, rather than having them assemble hardware themselves, thus locking in long-term ecological revenue and lowering customer deployment thresholds.
Similar cases include NVIDIA's early CUDA ecosystem construction, as well as current AI clouds like CoreWeave based on its rapid full-stack implementation; NVIDIA is currently at a critical juncture in the comprehensive reconstruction of infrastructure for the Agent era.
Essentially, this represents a restructuring of the industrial chain: AI computing is shifting from fragmented hardware procurement to Agent-oriented end-to-end full-stack systems, driven by the need for extreme low-latency collaboration and security, allowing companies that master the complete design and software stack to gain system-level pricing power and ecological control.
ABAB News · Cognitive Law
Agents do not need a computer; they need an intelligent factory.
From selling chips to selling systems, and then to selling entire AI factories.
Excellent companies sell full-stack solutions, while traditional companies sell point hardware.