Micron's next-generation AI memory vHBM faces heat dissipation challenges: targeting mass production in 2028, bandwidth upgrades become key

Micron Technology is developing a new generation of vertical high-bandwidth memory (vHBM), which plans to stack DRAM directly on top of the processor, shortening the data transmission distance between memory and compute units and further increasing bandwidth to meet the growing performance and capacity demands of artificial intelligence (AI) inference workloads. However, this architecture also introduces new heat dissipation challenges that may affect the scale of future adoption.

According to a Benzinga report, at a recent technology and product webinar, Micron presented a technology roadmap planning the continued evolution of high-bandwidth memory through HBM6 in 2030. The company also proposed a series of new architectures aimed at improving bandwidth, capacity, and energy efficiency.

Karl Ackerman, a senior analyst in BNP Paribas' equity research division, specifically noted that vHBM is one of the more important developments in this technology roadmap.

Traditional HBM typically places memory and processor side by side via an interposer, whereas vHBM instead adopts a vertical stacking approach, placing memory directly above the compute chip. Because the transmission path between the two is shortened, this design is expected to increase bandwidth and enable AI systems to transmit data more efficiently.

The report noted that this development is important because memory is increasingly becoming a factor limiting AI system performance, rather than merely a component attached to accelerators. As the scale of AI model deployment expands, the ability to supply data to processors may become as important as the processors themselves.

According to the research report, Micron aims to begin mass production of vHBM in 2028 and plans to launch three generations of products by 2030. This timeline shows that vHBM is a medium- to long-term development opportunity rather than a driver that can immediately boost profit growth.

vHBM Bandwidth Gains Come with Heat Dissipation Challenges

However, this architecture also brings new challenges. Ackerman noted that placing memory directly above the processor hinders processor heat dissipation, creating a trade-off in thermal management that may limit how and how widely this technology can be applied.

Therefore, he expects vHBM to be used alongside traditional HBM in the future rather than fully replacing existing architectures. The AI memory market may continue to adopt multiple designs, with system vendors choosing the appropriate combination based on bandwidth requirements, thermal constraints, and packaging complexity.

This distinction is quite important for investors. A promising architecture does not mean it will necessarily achieve widespread adoption or deliver higher economic returns. Micron and its customers must ensure that the performance advantages brought by this technology are sufficient to offset the related costs, while also addressing the system's heat dissipation and power consumption issues.

Meanwhile, Micron's technology roadmap also includes another dedicated memory architecture: vertical edge inference memory (vEIM). This design stacks low-power LPDDR memory on top of the logic chip of edge devices.

Micron's first-generation design targets a bandwidth of 2TB per second and energy consumption of less than 1 picojoule per bit, with mass production also targeted to begin in 2028.

Micron's Near-Term Profit Still Depends on HBM and Server Memory

Analysis points out that Micron's near-term profit momentum will still mainly come from high-bandwidth memory, server DRAM, enterprise-grade solid-state drives, and a tight supply market environment.

Ackerman noted in the research report that Micron expects tight supply conditions to last at least another two years. As for vHBM, it represents an opportunity for Micron to further expand the AI memory market in the medium to long term.

For investors, the key is whether Micron can translate architectural technological progress into commercially adopted products while avoiding heat dissipation and manufacturing challenges that could undermine its technological advantages.