STM32U599NIH6Q STMicroelectronics Integrated Circuit (BGA) In Stock
STMicroelectronics STM32U599NIH6Q is a high-performance ultra-low-power 32-bit ARM Cortex-M33 microcontroller in a BGA package with advanced security and AI features. It integrates a neural processing unit, 4 MB Flash, and 2.5 MB SRAM for demanding embedded AI and IoT applications. Available worldwide with 13-week factory lead time for production planning.
- Manufacturer
- STMicroelectronics
- Package
- BGA
- Pin Count
- 216
- Lifecycle
- ACTIVE
- Datasheet
- STM32U599NIH6Q Datasheet PDF
- Category
- Integrated Circuit
- Price
- From $9.2800(MOQ 100)
- RoHS
- Compliant
- Lead Time
- 3–7 business days
- Shipping
- DHL Express · Worldwide
What are the key features of STM32U599NIH6Q?
- ARM Cortex-M33 core with TrustZone security running at up to 160 MHz, delivering hardware-enforced isolation between secure and non-secure firmware partitions
- Integrated neural processing unit (NPU) accelerates on-device machine learning inference, enabling real-time AI tasks without external ML accelerators
- 4 MB on-chip Flash and 2.5 MB SRAM provide ample storage and working memory for complex firmware, ML models, and large sensor data buffers
- Ultra-low-power design with multiple low-power modes supports always-on sensing applications from small battery cells with multi-year operating life
- BGA package with rich peripheral set including USB, OCTOSPI, SDMMC, and multiple communication interfaces for complex connected product designs
What is STM32U599NIH6Q used for?
The STM32U599NIH6Q targets advanced IoT edge nodes, wearable health monitors, and industrial sensor hubs where on-device AI inference must run from a battery-constrained power budget. Its NPU and Cortex-M33 at 160 MHz allow gesture recognition, anomaly detection, and keyword spotting to execute locally without cloud connectivity. The AEC-Q100-grade qualified automotive variant support and TrustZone security also make it applicable to secure automotive HMI controllers and connected industrial gateways requiring hardware-level firmware protection.
What are the specifications of STM32U599NIH6Q?
| Factory Lead Time | 13Weeks |
| YTEOL | 9 |
| uPs/uCs/Peripheral ICs Type | MICROCONTROLLER, RISC |
| Package | BGA |
Compliance & Regulatory
| RoHS Status | Compliant |
| Lead-Free | Yes (Pb-Free) |
| ECCN | 3A991.A.2 |
| HTS Code | 8542.31.00.30 |
| Country of Origin | Philippines, Taiwan |
Where can I find the STM32U599NIH6Q datasheet?
STM32U599NIH6Q Datasheet DownloadOfficial datasheet from STMicroelectronics
What are equivalent replacements for STM32U599NIH6Q?
No known alternates. Submit an RFQ and our team can suggest alternatives.
Frequently Asked Questions
What CPU core and clock speed does the STM32U599NIH6Q use, and how does TrustZone benefit secure IoT designs?
The STM32U599NIH6Q uses an ARM Cortex-M33 core running at up to 160 MHz with TrustZone-M hardware security extensions. TrustZone partitions the processor into secure and non-secure worlds, allowing cryptographic keys and secure boot code to be isolated from application firmware — a critical requirement for IoT devices that must prevent firmware extraction or remote code injection attacks.
How does the integrated NPU in the STM32U599NIH6Q compare to running ML inference on the Cortex-M33 core alone?
The dedicated neural processing unit (NPU) in the STM32U599NIH6Q can accelerate INT8 neural network inference at significantly lower energy per operation than the Cortex-M33 alone. For typical keyword-spotting models requiring millions of multiply-accumulate operations per inference, the NPU can complete the task in microseconds while keeping the main CPU free for sensor management and communication tasks.
What on-chip memory does the STM32U599NIH6Q provide, and is it sufficient for storing a small ML model alongside application firmware?
The STM32U599NIH6Q integrates 4 MB of on-chip Flash and 2.5 MB of SRAM. This is sufficient to store a compact TensorFlow Lite or STM32Cube.AI model of several hundred kilobytes alongside full application firmware, sensor drivers, and an RTOS, without requiring external memory for typical edge AI use cases such as vibration anomaly detection or simple image classification.
What is the factory lead time for the STM32U599NIH6Q and what BGA package variant does it use?
The STM32U599NIH6Q has a 13-week factory lead time from STMicroelectronics, which requires early design-in procurement planning for volume production schedules. It is packaged in a BGA (Ball Grid Array) format with a high pin count that exposes USB, OCTOSPI, SDMMC, and multiple UART/SPI/I2C peripherals for connecting external storage, wireless modules, and display interfaces.
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Why Buy from FindMyChip
About STMicroelectronics
STMicroelectronics is a global semiconductor leader serving customers across the spectrum of electronics applications. ST's products are found in a wide range of applications including automotive, industrial, personal electronics, and communications.
| Qty. | Unit Price | Ext. Price |
|---|---|---|
| 100+ | $13.0602 | $1306.02 |
| 250+ | $12.5532 | $3138.30 |
| 500+ | $12.2475 | $6123.75 |
| 960+ | $9.2800 | $8908.80 |
In Stock · 24h Response · Worldwide Shipping
Response within 24 hours · Worldwide shipping
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