AI & ML


Arm Cortex-M7 MCU product family

28 June 2023 AI & ML

The GD32H7 series offers superior processing power with power efficiency, rich connectivity, and comprehensive security functions. The GD32H7 MCU portfolio consists of 27-part numbers in three series, available in five package types: BGA176, LQFP176, LQFP144, BGA100, and LQFP100.

The GD32H7 MCU series adopts an Arm Cortex-M7 high-performance core based on Armv7E-M architecture, with up to 600 MHz clock frequency. Its performance is further enhanced by the high bandwidth AXI + AHB bus and the six-stage pipeline architecture with branch prediction capability. The integrated advanced Digital Signal Processing (DSP) hardware accelerator and double-precision Floating-Point Unit (FPU), and the hardware Trigonometric Mathematic Unit (TMU) and Filter Accelerator (FAC), significantly reduce the CPU loading and increase its processing efficiency.

The integrated memories on GD32H7 MCU series are 1024 to 3840 kB Flash and 1024 kB SRAM, including 512 kB of configurable Tightly Coupled Memory (TCM) for zero-wait state execution of critical instructions and data. The 64 kB high-speed L1-Cache (I-Cache, D-Cache) further increases CPU processing efficiency and real-time performance.

The MCU series integrates various peripherals, including 8x USART, 4x I2C, 6x SPI, 4x I2S, 2x SDIO, and 2x Octal SPI ports with real-time decryption supported by a Real-Time Detection (RTDEC) module. The GD32H7 has 2x USB2.0 OTG interfaces, supporting full-speed and high-speed operation modes. It also integrates 3x CAN-FD modules and 2x Ethernet interfaces to meet the demand for high-speed communication.

The GD32H7 series provides excellent graphics display and audio/video connectivity solutions. It has a TFT-LCD controller and an image processing accelerator (IPA) for 2D image processing operations such as overlay, rotation, zoom in/out, and conversion among multiple colour modes. The product also integrates an 8-bit to 14-bit digital camera interface for video and image capture and transmission.

With an advanced manufacturing process, attractive cost, and outstanding application potential, the GD32H7 MCU series is ideal for signal processing, high-accuracy motor control, digital power supplies, energy storage, audio/voice recognition, and graphic/image applications. Thanks to its ultra-high CPU core clock speed and large memory size, the product also supports applications requiring intensive processing capabilities, such as machine learning and artificial intelligence.

The product samples and development tools will be gradually introduced starting June 2023, with mass production targeted in Q4 2023.


Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

World’s most powerful open LLM
AI & ML
With a staggering 180 billion parameters, and trained on 3,5 trillion tokens, Falcon 180B has soared to the top of the Hugging Face Leaderboard for pretrained LLMs.

Read more...
Bridging the gap between MCUs and MPUs
Future Electronics Editor's Choice AI & ML
The Renesas RA8 series microcontrollers feature Arm Helium technology, which boosts the performance of DSP functions and of AI and machine learning algorithms.

Read more...
Hardware architectural options for artificial intelligence systems
NuVision Electronics Editor's Choice AI & ML
With smart sensors creating data at an ever-increasing rate, it is becoming exponentially more difficult to consume and make sense of the data to extract relevant insight. This is providing the impetus behind the rapidly developing field of artificial intelligence.

Read more...
xG26 sets new standard in multiprotocol wireless device performance
Altron Arrow AI & ML
Silicon Labs has announced its new xG26 family of Wireless SoCs and MCUs, which consists of the multiprotocol MG26 SoC, the Bluetooth LE BG26 SoC, and the PG26 MCU.

Read more...
SolidRun unveils new SoM
Altron Arrow AI & ML
SolidRun and Hailo has unveiled a game-changer for engineers and AI product developers with the launch of their market-ready SoM, which packs the cutting-edge capabilities of the Hailo-15H SoC.

Read more...
Banana Pi with NPU
CST Electronics AI & ML
The latest Banana Pi SBC, the BPI-M7, is powered by Rockchip’s latest flagship RK3588 octa-core 64-bit processor, with a maximum frequency of 2,4 GHz.

Read more...
ESP32-P4 high-performance MCU
iCorp Technologies AI & ML
Powered by a dual-core RISC-V CPU running up to 400 MHz, ESP32-P4 also supports single-precision FPU and AI extensions, thus providing all the necessary computational resources.

Read more...
AI-native IoT platform launched
EBV Electrolink AI & ML
These highly-integrated Linux and Android SoCs from Synaptics are optimised for consumer, enterprise, and industrial applications and deliver an ‘out-of-the-box’ edge AI experience.

Read more...
Flash for AI
EBV Electrolink AI & ML
SCM offers a midway latency point between DRAM and SSDs, and when coupled with the introduction of CXL, low-latency flash, such as XL-FLASH, is well-positioned to deliver improvements in price, system performance, and power consumption to everything from servers to edge devices deploying the power of AI.

Read more...
Speeding up the rollout of renewable energy with AI
AI & ML
Understanding that AI, particularly within the renewables space, will not take away jobs, but rather create them, is key to leveraging the immense power of this technology to drive South Africa forward.

Read more...