AI chips need high-bandwidth memory (HBM) and advanced packaging because powerful processors need a fast, wide path to move data in and out. HBM provides memory in stacked DRAM dies; advanced packaging places those stacks close to the processor and links them with dense interconnects. Together, they can support high memory bandwidth and substantial compute within one package—but they do not guarantee faster performance for every workload.
Why AI processors need a wider path to memory
An AI accelerator may perform many calculations in parallel, but it still has to access the data and model parameters those calculations use. If the processor cannot get data from memory quickly enough, some of its computing resources may wait. This is one reason memory bandwidth—the rate at which data can move between memory and compute—matters in AI and high-performance computing.
HBM is a form of DRAM built as a stack of memory dies connected through a base or interface structure. Multiple HBM stacks can sit alongside processor dies inside the same package. Compared with placing memory farther away on a separate board, this arrangement is designed to provide a broad, high-speed connection near the compute. The actual effect depends on the workload and system design; not every AI task is limited by memory bandwidth.
What HBM and advanced packaging each do
HBM supplies the memory architecture
HBM stacks multiple memory dies so that data can be accessed over a wide interface. Micron describes its HBM3E product as intended for complex AI computation and associates advanced-packaging proximity with bandwidth and power benefits. Those are Micron’s product claims, not a guarantee that every system or application will see a particular performance improvement. Micron’s HBM3E product information
Quick wins for a faster PC:
Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →#1 Best Overall
- ESP32-S3-ePaper-1.54 development board onboard 1.54inch e-paper display, 200 × 200 resolution, features high contrast and wide viewing angle. Onboard audio codec chip, supports voice capture and playback, enabling AI voice interaction applications
- ESP32-S3 1.54inch e-Paper AIoT development board adopts high-performance 32-bit LX7 dual-core processor, up to 240MHz main frequency. Supports 2.4GHz Wi-Fi (802.11 b/g/n) and Bluetooth 5 (LE), with onboard antenna
- Onboard PCF85063 RTC chip and SHTC3 temperature & humidity sensor for accurate RTC management and environmental monitoring
- Built-in 512KB Static RAM, 384KB ROM, with integrated 8MB Flash and 8MB PSRAM
- Onboard TF card slot for external storage of images or files. Onboard programmable PWR and BOOT side buttons for customized function development. Reserved 2 × 6 2.54mm pitch pin header for convenient external expansion
Packaging builds the physical connection
The processor and HBM still need dense connections that can carry signals between them. Advanced packaging assembles logic and memory dies close together, often on an interposer, before integrating them with a package substrate. The interposer provides routing among dies that would otherwise be separate components.
TSMC describes its Chip-on-Wafer-on-Substrate (CoWoS) service as integrating multiple system-on-chips and HBM stacks to support compute power and memory bandwidth in high-performance computing products. This is the company’s description of its platform, not an independent benchmark. TSMC’s CoWoS technology overview and TSMC’s 2025 Annual Report
Rank #2
- This is is 1.54inch e-Paper AIoT development board. Onboard 1.54inch e-paper display, 200 x 200 resolution, features ultra-low power consumption and ambient light readability, suitable for portable devices and long-battery-life scenarios. Supports 2.4GHz Wi-Fi (802.11 b/g/n) and Bluetooth 5 (LE), with onboard antenna.
- Integrated with an RTC chip, SHTC3 temperature and humidity sensor, TF card slot, low-power audio codec chip circuit, and Lithium battery recharge management circuit. Reserved interfaces including USB, UART, I2C, and GPIO for easy functionality expansion and sensor connectivity, providing a flexible and reliable development platform for IoT terminals, electronic tags, portable displays, and other applications.
- Supports AI Speech Interaction: Allows access to online large model platforms such as ChatGPT, DeepSeek, Doubao, etc. Onboard audio codec chip, supports voice capture and playback, enabling AI voice interaction applications.
- Built-in 512KB Static RAM, 384KB ROM, with integrated 8MB Flash and 8MB PS RAM. Onboard PCF85063 RTC chip and SHTC3 temperature & humidity sensor for accurate RTC management and environmental monitoring.
- Onboard TF card slot for external storage of images or files. Onboard programmable PWR and BOOT side buttons for customized function development. Reserved 2 × 6 2.54mm pitch pin header for convenient external expansion.
The two technologies are complementary: HBM provides the memory, while packaging provides proximity and the interconnect topology. A capable memory stack needs a suitable connection to the processor to deliver its intended package-level bandwidth. Likewise, a dense package cannot compensate for inadequate memory capacity or bandwidth in a workload that needs more data movement.
How CoWoS packaging options differ
CoWoS is a TSMC platform, not a universal name for all advanced packaging. TSMC documents three variants with different interposer constructions. The differences are design choices, not a ranking in which one option is always best.
Rank #3
- 【Flagship performance, extremely fast response】Equipped with a 1.6GHz main frequency chip, the KPU computing power is 13.7 times that of the K210 visual module, and the CPU computing power is 8.5 times that of the K210. It supports real-time operation of complex AI models and can easily cope with high-load tasks such as image recognition and voice processing.
- 【Flexible expansion development】A new 12Pin GPIO interface is added, which is compatible with a variety of sensors and modules; pre-installed GUI program, a large program based on the RTSmart system, contains 30+ functional gameplay, integrates most of the core functions, and each function comes with instructions, so you can experience the fun of AI without programming basics.
- 【Multi-controller compatibility】Equipped with a serial communication interface, it can be seamlessly connected to various controllers, and supports connection to PC computers, MSPM0, STM32, ESP32, PICO, Raspberry Pi, UNO, Microbit, Jetson, RDK and other mainstream controller development. You can easily output the visual recognition results to an external controller through the serial port without delving into complex visual algorithms, making it easy to create innovative AI projects.
- 【Multi-function AI visual camera】The K230 visual module is equipped with a 2.4-inch LCD capacitive touch screen with clear display and a 2MP camera for quick debugging and control. The module integrates a serial port, which can easily connect various sensors to expand functions. , with color recognition, road sign recognition, visual line patrol, face recognition, label recognition, QR code and barcode recognition, feature detection, digital recognition and other functions.
- 【Developers from entry to mastery】Provides original model training tutorials+self-developed upper computer toolkits, compatible with ESP32 ecology, suitable for education, maker and industrial visual project development. Yahboom provides technical Q&A + lifetime firmware updates to help your AI project from prototype to landing without worry!
| Variant | Documented construction | Design considerations |
|---|---|---|
| CoWoS-S | Uses a silicon interposer. TSMC describes high-density interconnects and embedded deep-trench capacitors, with logic chiplets and HBM cubes placed over the interposer. | Interposer size, fine routing, integration density, power delivery and manufacturing readiness. |
| CoWoS-R | Uses a redistribution-layer (RDL) interposer with polymer and copper traces to connect SoC and/or HBM. TSMC says volume production began in 2023. | RDL routing characteristics, package scaling, signal and power behavior, and the needs of the specific design. |
| CoWoS-L | Combines an RDL-based interposer with embedded local silicon interconnects, supporting diverse embedded chips and larger HPC products. | Local high-density links, total interposer and package size, design complexity, and the production status of the particular product. |
In practice, relevant comparison points include the number and arrangement of logic dies and HBM stacks, interconnect density, package scale, signal and power integrity, and manufacturing readiness. The right balance depends on the chip’s architecture and production needs.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What TSMC’s published size and production figures mean
TSMC’s current CoWoS technology page, accessed in 2026, reports these platform capabilities and production milestones. They describe TSMC’s offerings, not the specifications or status of every customer package.
Rank #4
- High-Performance AI Voice Interaction Development Board: Features a dual-core RISC-V processor (up to 160MHz), onboard dual microphone array, speakers, and an ES8311 audio codec chip, supporting noise reduction and echo cancellation. It can easily connect to large online models like DeepSeek for intelligent voice dialogue.
- Integrating Advanced Wireless Connectivity: ESP32-C6 supports Wi-Fi 6, Bluetooth 5.0, and Zigbee 3.0/Thread protocols, boasting excellent RF performance and multi-protocol compatibility, making it suitable for wireless communication development in IoT and wearable devices.
- Equipped with a 1.83-inch capacitive touchscreen LCD: (240×284 resolution, 65K colors), it offers high responsiveness and light transmittance. Combined with an onboard six-axis sensor (accelerometer + gyroscope) and RTC chip, it supports motion monitoring, step counting, and low-power real-time clock applications.
- Low Power Design: built-in Batt. recharge chip, a Type-C interface, and supports flexible clock and power control, enabling low-power operation in various scenarios, making it convenient for carrying around and long-term use.
- Rich Interfaces: It offers a wealth of expansion interfaces and customization features, including GPIO, I2C, and UART pads, two programmable side buttons, support for external sensors and debugging, and facilitates rapid prototyping and functional verification.
- CoWoS-S: TSMC lists interposer sizes up to 3.3 times reticle size, approximately 2,700 mm². This is a stated platform capability, not a claim that every CoWoS-S package has that area.
- CoWoS-R: TSMC says volume production began in 2023.
- CoWoS-L: TSMC says its first 3.5-times-reticle-size products have been in volume production since 2024.
TSMC’s 2025 Annual Report says CoWoS-L entered its second year of volume production in 2025 and that larger-reticle products were expected to start volume production in 2026. The latter is a company-reported expectation in that report, not confirmation that the milestone has since occurred.
Why packaging becomes an engineering challenge
Putting more compute and memory into one package can improve proximity, but it also makes the package itself a significant engineering problem. More dies and denser routing affect how signals and power reach each component, how much area the interposer needs, and how the assembly can be manufactured at scale.
Free tools Windows power users keep installed
One-click scans. No signup required.
- Routing and signal integrity: Interconnects must carry many signals among logic dies and HBM stacks. Their density and layout influence whether the package can meet a design’s electrical requirements.
- Power delivery: The package must route power as well as data. TSMC’s CoWoS-S documentation, for example, notes embedded deep-trench capacitors; that feature is part of its platform description, not a universal feature of all packaging approaches.
- Package size and integration: Larger packages may allow more compute and memory integration, but scaling the interposer and maintaining workable routing are design considerations.
- Manufacturing readiness: A design’s usefulness depends on whether its packaging option and target size can be produced at the required volume. Published platform milestones should not be mistaken for the status of an individual chip.
What HBM and packaging do—and do not—tell you about performance
HBM and advanced packaging address a core system-design challenge: getting data to compute efficiently when a workload benefits from high memory bandwidth. They are not standalone measures of an AI chip’s speed. Performance also depends on the processor architecture, memory capacity, software, workload, and the way the system is configured. Manufacturer descriptions explain design intent and platform capabilities; they should not be read as directly comparable measurements across products.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
