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- 2026.07.01 AT24C256 Keeping Calibration and Parameters on an Edge Device A calibrated edge device often fails in a quiet place: a few bytes of parameters no one treated as a product file. The processor may boot, the sensor may answer, and the model may run, yet the device c…
- 2026.07.01 IS25LP128 as Code Storage for Edge AI Code storage is easy to overlook on an edge AI board because it does not look like the compute block. The processor, NPU, sensor and power stage get more attention, yet the first executable bytes often…
- 2026.07.01 MT25QL128 Feeding Weights Over QSPI Weights stored in serial NOR flash do not feed an inference engine by magic. They cross a narrow controller path, move through cache or RAM, and reach the compute block only as fast as the board, firmw…
- 2026.07.01 W25Q128JV Holding the Boot Image and Model on an Edge Device A model can fit in flash and still fail the product review if the boot path is treated as a loose storage choice. W25Q128JV sits in the class of Winbond serial NOR flash used for code storage, so the f…
- 2026.07.01 How Memory Bandwidth Caps Real Inference Speed Inference speed often stalls between the arithmetic unit and the memory devices around it. The accelerator may have enough multiply units on paper, yet a real board still waits for weights, activations…
- 2026.07.01 XC17256EPCG20C as Configuration Memory for an FPGA Design XC17256EPCG20C looks like a small memory choice, yet it controls whether an FPGA wakes as the design that was approved. The device sits outside the logic fabric, holds the configuration bitstream, and …
- 2026.07.01 CrossLink-NX Handling Parallel Image Sensor Data CrossLink-NX earns attention when an image sensor still speaks in a parallel format but the rest of the product has moved toward compact processors, serial links and stricter power budgets. The part is…
- 2026.06.30 iCE40UP5K for Ultra Low Power Edge Vision Preprocessing iCE40UP5K belongs in the part of a vision product that wakes first and decides what deserves attention. It is a small FPGA, so it should not be treated as a full vision processor. Its value appears whe…
- 2026.06.30 XC7A35T Accelerating a Small Network on Artix Fabric XC7A35T fits designs where the network is small, the timing is tight, and a processor alone leaves too much latency in the path. The part is not a high-end AI accelerator. It is an Artix-class FPGA tha…
- 2026.06.30 XC7Z020 as a Zynq Part Pairing Arm Cores with Fabric for Inference XC7Z020 sits in the useful middle ground between a microcontroller, a pure FPGA and an application processor. It pairs Arm processing cores with programmable logic fabric, so a board can run software, …
- 2026.06.30 Why a Team Reaches for an FPGA Before the Architecture Settles A team often reaches for an FPGA when the product still has moving boundaries. The interface may change, the sensor timing may remain uncertain, the processor may need help, or the final partition betw…
- 2026.06.30 Alif Ensemble E7 Pairing an NPU with the MCU Alif Ensemble E7 belongs to a class of controllers that brings the neural engine closer to the real-time firmware. The idea is attractive when a product needs sensor handling, control logic and local i…
- 2026.06.30 ATMEGA2560-16AU for Lightweight On-Device Sensing and Control ATMEGA2560-16AU is often selected for products that need many ordinary control signals rather than a large inference engine. A small device may need to read switches, count pulses, sample slow sensors,…
- 2026.06.30 RP2040 for a First Pass at TinyML RP2040 gives a team a practical place to start when a small TinyML idea has to leave the notebook and face a real board. The part is familiar, inexpensive to evaluate, and backed by enough open softwar…
- 2026.06.29 Apollo4 for Ultra Low Power Always On Inference in a Wearable Apollo4 for Ultra Low Power Always On Inference in a Wearable is a hardware choice with consequences beyond the headline function. The useful review starts with the signal or workload, follows the powe…
- 2026.06.29 STM32H743VIH6 Running a Vision Model on a High Clock MCU STM32H743VIH6 Running a Vision Model on a High Clock MCU is a hardware choice with consequences beyond the headline function. The useful review starts with the signal or workload, follows the power and…
- 2026.06.29 STM32N6 as a High End MCU with a Built In NPU STM32N6 as a High End MCU with a Built In NPU is a hardware choice with consequences beyond the headline function. The useful review starts with the signal or workload, follows the power and data paths…
- 2026.06.29 When an MCU with a Neural Block Replaces a Separate Accelerator When an MCU with a Neural Block Replaces a Separate Accelerator is a hardware choice with consequences beyond the headline function. The useful review starts with the signal or workload, follows the po…
- 2026.06.29 ESP32-S3 Running Light Inference on Its Vector Instructions ESP32-S3 Running Light Inference on Its Vector Instructions is a hardware choice with consequences beyond the headline function. The useful review starts with the signal or workload, follows the power …
- 2026.06.29 NDP120 for Always On Voice Neural Decision Making NDP120 for Always On Voice Neural Decision Making is a hardware choice with consequences beyond the headline function. The useful review starts with the signal or workload, follows the power and data p…
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