At Computex 2026, Intel unveiled a series of new innovations designed to meet customer AI demands from the chip to the system level, providing tailored solutions for specific industry challenges.

Intel CEO Pat Gelsinger stated that for over five decades, Intel has collaborated with ecosystem partners to continuously advance foundational technologies critical to the PC, internet, and now the AI era. He noted that as inference, agents, and physical AI accelerate, Intel is driving innovation breakthroughs from chips to systems, injecting fresh momentum into industrial upgrading and societal development.

Currently, as AI model training matures and more AI applications enter production, industry demand for cost-effective and energy-efficient AI inference is growing exponentially. The rise of agentic AI is further escalating this inference demand, not only reshaping data center computing architectures but also returning the CPU to a dominant position.

In the model training era, the CPU-to-GPU ratio in AI deployments was roughly 1:4. Agentic inference has shifted this ratio closer to 1:1, or even lower for GPU share. To capitalize on this trend at the system level, Intel, SambaNova, and Foxconn announced plans to build rack-scale AI infrastructure based on Intel Xeon processors to meet deployment needs for data centers, hyperscalers, and intelligent hubs.

The newly introduced rack-scale AI infrastructure from Intel is built on Intel Xeon processors and SambaNova's SN-50 Reconfigurable Dataflow Unit (RDU). It aims to deliver high-performance AI inference while significantly improving cost-effectiveness and energy efficiency. This rack is now ready for mass production, with Foxconn providing system integration support. For workloads that do not require additional acceleration, such as cost-optimized inference, data processing, and hybrid AI, Foxconn also plans to manufacture a high-CPU-density variant of the rack-scale infrastructure.

Furthermore, for decoupled inference agent cloud services, a new dedicated enterprise inference cloud called Vector Core Compute, jointly built by Vista Equity Partners and Cambium Capital, also announced a fully decoupled inference solution running on Intel Xeon processors, SambaNova RDU, and NVIDIA Blackwell GPUs.

Intel also launched the new Xeon 6+ processor. It offers higher performance density, superior energy efficiency, and greater operational capacity for cloud-native, agentic AI, and network-intensive workloads. Fabricated on the Intel 18A process, this marks the first application of Intel 18A in a data center CPU. It is designed for sustained performance under real-world power constraints to meet the demands of emerging agentic AI in task orchestration, concurrent processing, and data movement.