NVIDIA has begun delivering its first Vera CPU—a processor specifically designed for running AI agents in production—to leading AI research labs including Anthropic, OpenAI, and SpaceX AI. The Vera Rubin NVL72 delivers agentic AI inference at one-tenth the cost per token compared to previous approaches, while agent sandboxes run 50 percent faster than traditional CPU-based systems. Enterprise data queries see up to 3x performance improvement.

The arrival of specialized hardware marks a maturation of agent AI deployments. Rather than retrofitting general-purpose processors, NVIDIA built silicon optimized specifically for the compute patterns required by autonomous AI agents. Over 5,000 enterprises including Eli Lilly, Samsung, and Honeywell are already running production AI workloads on NVIDIA infrastructure.

What This Means for Your Business

If your organization is piloting AI agents for customer service, process automation, or data analysis, hardware costs have just dropped dramatically. Companies can now run agents at scale with significantly lower infrastructure spend. Evaluate your current AI deployment costs against Vera pricing—significant ROI acceleration may be possible if you consolidate on NVIDIA infrastructure designed for agent workloads.