The Core of AI Computing Power: Analyzing Why HBM and CPO Impact Enterprise Strategy

When enterprises plan to implement generative AI or build private Large Language Models (LLMs), they often find that besides expensive GPUs, "HBM" and "CPO" are frequently mentioned as the keys to determining server performance and cost. These two technologies are currently in extreme shortage. The Allianz Asian Semiconductor Active ETF chose to open for subscription on September 16, with a core logic precisely targeting the rigid demand of this hardware upgrade wave. For decision-makers in Taiwanese SMEs, understanding these technologies is not about becoming an engineer, but rather building a more accurate foundation for judgment when procuring equipment and evaluating digital transformation costs.

HBM: The High-Speed Highway Breaking Data Transfer Bottlenecks

In traditional computer architectures, processors compute very quickly, but if the memory (RAM) responsible for storing data cannot keep up with transmission speeds, the processor spends a significant amount of time waiting for data—this is the so-called "Memory Wall" problem. HBM (High Bandwidth Memory) emerged to tear down this wall.

We can imagine traditional memory as a flat parking lot where data can only exit through a few gates. In contrast, HBM stacks memory chips vertically like a skyscraper and places them directly next to the processor. This reduction in physical distance and the vertical stacking of channels increases data transmission bandwidth several times over while reducing power consumption. HBM is an indispensable component when processing the massive amounts of data required for AI computations. Currently, the production capacity for advanced specifications like HBM3e is almost entirely snapped up by major cloud service providers, leading to longer lead times and rising costs for AI servers. When we assist clients in planning AI infrastructure, our primary consideration is whether the server architecture is configured with sufficient HBM specifications to ensure that computing performance is not dragged down by memory speed.

CPO: Solving AI Server Heat Dissipation and Power Consumption at the Speed of Light

As computing volume continues to rise, data transmission is no longer just a speed issue; it also involves serious heat dissipation and power loss. Traditionally, data is transmitted between chips and fiber optic modules via electrical signals. However, at extremely high speeds, electrical signals generate a lot of heat and lose energy. CPO (Co-packaged Optics) technology is designed to solve this dilemma.

CPO directly encapsulates the optical transceiver modules, which were originally placed at the edge of the motherboard, into the same chip package as the switch or processor. Simply put, it shortens the "electrical transmission" path to the minimum and converts it to "optical transmission" as early as possible. The benefits are very specific: First, power consumption is significantly reduced, which is crucial for data center operations with high electricity costs. Second, because the heat generated by electrical signals is reduced, the pressure on the cooling system is lessened, allowing servers to operate more stably for longer periods. Currently, CPO technology is seen as a standard for next-generation AI data centers and is one of the ultimate solutions to the current data center "cooling crisis." If your enterprise's internal server room faces heat dissipation bottlenecks or power limits, paying attention to the maturity of CPO technology will be a key focus for future evaluations.

Long-term Impact of Hardware Shortages from the Perspective of Market Capital Flow

The fundraising for the Allianz Asian Semiconductor Active ETF reflects the capital market's long-term optimism regarding gaps in the semiconductor supply chain. For the enterprise side, this sends a clear signal: the supply shortage of computing components will not disappear in the short term. Increasing production capacity for HBM and CPO takes time, while global competition for AI server procurement is intensifying.

In such an environment, we recommend that enterprises take a more proactive strategy when preparing IT budgets. First, stop pursuing only single-machine performance and instead consider the scalability and compatibility of the entire system. Second, the efficiency of software and hardware integration has become more important than ever. When hardware costs remain high, knowing how to reduce the waste of hardware resources through optimized programming architectures will be the key to saving expenditures. When providing IT services, we specifically perform software calibration for the customer's existing hardware environment to ensure that every bit of computing power is converted into actual operational value, avoiding unnecessary budget overruns caused by chasing the latest specifications.

Enterprise Strategies Amidst the Computing Power Shortage

Faced with the tight supply of computing power, HBM, and CPO, SMEs do not have to wait passively. Through professional system integration partners, you can allocate budgets more effectively and maximize AI benefits within limited hardware resources. We can provide you with one-stop services ranging from server specification selection and server room cooling planning to AI model deployment, helping you stand firm in the changing tide of technology.

Welcome to Contact Us