SK hynix Begins Sampling 12-Layer HBM4E for AI Infrastructure

The new HBM4E architecture represents a significant jump in both throughput and power efficiency, with the latter seeing a 20 percent improvement over previous iterations. By integrating its proprietary Advanced MR-MUF technology, the manufacturer has achieved a 48GB capacity within a 12-layer stack, while simultaneously reducing heat resistance by 17 percent compared to the HBM4 model.

These thermal and structural refinements are designed to maintain stability in high-bandwidth environments, specifically addressing the bottlenecks currently facing AI data centers. Ahn Hyun, President and Chief Development Officer at SK hynix, noted that the company is moving to finalize mass production in lockstep with its partners. The rollout follows the firm's established track record with HBM3 and HBM3E, positioning the company to further consolidate its role as a primary supplier for next-generation AI hardware.