Samsung and Qualcomm Pursue ‘Organic Bridge’ to Cut AI Chip Costs

Samsung Electronics and Qualcomm have announced a joint effort to develop an "organic bridge" technology that could lower the price of artificial‑intelligence (AI) central processing units while boosting performance. The partnership targets a new kind of 2.1D packaging, a step down in cost from the more complex 2.5D approach that currently dominates high‑end chip integration.

In a 2.1D layout, the silicon die is attached to an interposer made of inexpensive materials such as glass, ceramic, or even certain polymers, rather than the dense silicon interposers used in 2.5D designs. The organic bridge concept replaces traditional metal‑to‑metal connections with a composite resin that conducts signals across the gap between components. By using resins and other composite materials, the process can avoid the costly lithography steps required for silicon‑based interposers.

Both companies say the approach could streamline the manufacturing flow for AI‑focused CPUs, which are increasingly demanded by data‑center operators, edge‑computing devices, and smartphones. Reducing the cost of the packaging stage is especially important because the silicon die itself now accounts for a smaller share of total chip expense; the surrounding infrastructure can represent a significant portion of the bill of materials.

Industry observers note that 2.1D packaging has been explored in niche applications but has not yet achieved the bandwidth or thermal performance required for the most demanding AI workloads. The organic bridge aims to close that gap by offering a lightweight, low‑loss pathway for high‑frequency signals while keeping the thermal profile manageable through the use of glass or ceramic substrates.

Samsung will contribute its expertise in advanced packaging and material science, while Qualcomm brings its AI‑processor architecture and software ecosystem. The collaboration is still in the research phase, with prototype runs expected later this year. If successful, the technology could be integrated into upcoming Snapdragon AI chips and Samsung’s Exynos line, providing a cost‑effective alternative to the premium 2.5D solutions used by rivals.

Analysts caution that commercial adoption will depend on demonstrating comparable performance to existing interposer‑based designs and on securing supply‑chain stability for the new resin materials. Nevertheless, the partnership reflects a broader industry trend toward more economical, scalable packaging methods as AI workloads continue to proliferate across devices of all sizes.