Intel is sampling a new inference card. The pitch is capacity and power, not training speed. At the OCP Global Summit 2026 it started customer sampling of the GPU D-Series, Crescent Island. The D270 delivers 1.3 petaflops of FP8 and 1.5 terabytes a second of bandwidth in a 350-watt air-cooled PCIe card. Its own design has 160 gigabytes of memory. Partner designs reach 480 gigabytes of LPDDR5X. It is built on Xe3P for agentic AI inference and long-context work in ordinary racks. One card supports models up to about 300 billion parameters. Eight cards go past one trillion. Open tools like vLLM are supported. Sampling is underway with server makers and software partners. This is its push for high-capacity, lower-power inference next to Xeon, not a training rival. If one 350-watt card holds a 300-billion model, does that steal inference slots from Nvidia, or does it only sell where the rack cannot take a hotter GPU? $INTC