Silicon Labs

EFM32TG108F16-QFN24 - 32MHz 16KB MCU | Silicon Labs

N.º de pieza: EFM32TG108F16-QFN24 ✓ Activo
1.85 V to 3.8 V Vdss 24-QFN (5 x 5 mm) Package 32 MHz Speed 16 KB (16K x 8 bits) Memory
MOQ: 1 |

EFM32TG108F16-QFN24 Descripción general

The Silicon Labs EFM32TG108F16-QFN24 is a 32-bit ARM Cortex-M3 Tiny Gecko microcontroller operating up to 32 MHz, with 16 KB of Flash memory and a 24-QFN (5 x 5 mm) package. Its verified supply-voltage range is 1.85 V to 3.8 V, making it suitable for low-voltage embedded systems, portable instruments, connected sensors, and energy-conscious battery-powered equipment.

A microcontroller is a semiconductor device that integrates a processor core, program memory, working memory, and peripherals into one compact package. The EFM32TG108 belongs to the Tiny Gecko family, a low-power 32-bit microcontroller line built around the ARM Cortex-M3 architecture. Its position in the hierarchy is MCU, embedded microcontroller, embedded processor, and semiconductor. The architecture combines a 32 MHz maximum clock with energy-saving modes and short wake-up behavior intended for systems that spend substantial time in low-power states.

The EFM32TG108F16-QFN24 provides 16 KB (16K x 8) of Flash for firmware and 32-bit processing through the ARM Cortex-M3 core. Its verified 24-QFN package measures 5 x 5 mm and is suitable for compact, surface-mounted designs. The operating range of 1.85 V to 3.8 V supports 2.5 V and 3.3 V system architectures, although individual external components and board-level voltage tolerances must still be checked. The supplied distributor listing identifies the MCU as an ARM Cortex-M3 Tiny Gecko part rated at 32 MHz.

The principal technical benefit is efficient 32-bit processing in a small, low-power package. A 32 MHz clock provides useful computation headroom for protocol handling, control loops, signal acquisition, and system management without requiring a larger processor package. Low-power operation is particularly relevant when average energy per task, rather than peak processing speed, determines battery life. The available evidence does not specify the target device's RAM capacity, GPIO count, timer configuration, analog performance, or exact power-consumption figures, so those parameters should be confirmed in the manufacturer datasheet before final design release.

Typical uses include wearable accessories, compact sensor nodes, industrial monitoring modules, energy meters, portable measurement products, and low-power embedded control boards. In each case, the device can act as the central controller, executing application firmware while using sleep states between infrequent events. Designers should size the decoupling network around the device-specific requirements in the EFM32TG108 datasheet and preserve adequate routing clearance for high-speed signals and radio-adjacent circuitry.

The principal design consideration is avoiding unverified assumptions about the peripheral complement. Firmware drivers, pin multiplexing, programming interfaces, brownout behavior, and exact memory availability must be checked against the correct datasheet revision for the selected orderable MPN. This page combines the verified distributor specifications, package data, source links, and same-family replacement candidates into a practical sourcing and design reference.

This product page additionally distinguishes verified characteristics from missing parameters, summarizes the strongest documented use cases, and identifies same-family QFN-24 alternatives without presenting uncertain cross-family parts as guaranteed drop-in replacements.

Alternativas directas para EFM32TG108F16-QFN24 — mismo encapsulado, compatible pin a pin. Se excluyen las piezas de otro encapsulado que requieren retrabajo de la PCB.

Variantes de esta serie

Modelos de la misma serie compatibles directamente con EFM32TG108F16-QFN24 (mismo factor de forma y huella) — difiere en Flash Memory, Package, Architecture, Processor Core, Digital I/O Pins.

Silicon Labs
Flash Memory: 32 kB (32K x 8)
Digital I/O Pins: 17
Comparar con EFM32TG108F16-QFN24 →
Silicon Labs
Flash Memory: 4 KB
Package: 24-QFN, 5x5 mm
Architecture: 32-bit RISC
Comparar con EFM32TG108F16-QFN24 →
Silicon Labs
Flash Memory: 8 kB
Package: 24-QFN (5 mm x 5 mm)
Digital I/O Pins: 17
Comparar con EFM32TG108F16-QFN24 →
Silicon Labs
Flash Memory: 16 kB
Package: 24-QFN, 5x5 mm
Architecture: 32-bit
Comparar con EFM32TG108F16-QFN24 →

EFM32TG108F32-QFN24

✅ Sustitución directa
Silicon Labs
📦 24-QFN (5 x 5 mm)
ARM Cortex-M3 · 32 MHz · 32 kB (32K x 8) · 4 kB · 17 · 2 x 16-bit · 1.98 V to 3.8 V · 24-QFN (5x5 mm) Exposed Pad

Consulte el precio

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EFM32TG108F16-D-QFN24

✅ Sustitución directa
📦 24-QFN (5 x 5 mm)
Flash remains 16 KB and CPU remains 32 MHz; ordering-grade suffix differs, but numeric grade limits are not supplied.

📋 Alternativa de referencia (no en el catálogo)

EFM32TG108F8-QFN24

✅ Sustitución directa ⚠️ Especificaciones sin verificar
Silicon Labs
📦 24-QFN (5 x 5 mm)
32-bit ARM Cortex-M3 microcontroller · ARM Cortex-M3 · 32 MHz · 8 kB · 2 kB · 17 · 2 x 16-bit timers · Tiny Gecko

Consulte el precio

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EFM32TG108F4-QFN24

✅ Sustitución directa ⚠️ Especificaciones sin verificar
Silicon Labs
📦 24-QFN (5 x 5 mm)
32-bit ARM Cortex-M3 microcontroller · ARM Cortex-M3 · 32 MHz · 4 KB · 2 KB · 17 · 2 x 16-bit timers · 1.85 V to 3.8 V

Consulte el precio

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EFM32TG108F16-QFN24 Valores máximos y características eléctricas

Processor Core ARM Cortex-M3, 32-bit
Maximum CPU Frequency 32 MHz
Series Tiny Gecko
Flash Memory 16 KB (16K x 8 bits)
Supply Voltage Range 1.85 V to 3.8 V
Nominal Supply Options 2.5 V and 3.3 V
Encapsulado 24-QFN (5 x 5 mm)
Tipo de montaje Surface Mount
Recuento de pines 24 pins
Architecture ARMv7-M
Word Length 32 bits
Program Memory Organization 16K x 8 bits

Guía de configuración de pines de EFM32TG108F16-QFN24 24-qfn (5 x 5 mm)

Configuración de pines para EFM32TG108F16-QFN24 (encapsulado 24-qfn (5 x 5 mm)). Este CI digital incluye GPIO, interfaces de comunicación (UART, SPI, I2C) y pines de alimentación. Consulte la hoja de datos del fabricante para conocer las funciones alternativas de los pines y las opciones de configuración. Esencial para el diseño de sistemas embebidos y el diseño de PCB.

Diagrama de patillaje del encapsulado 24-qfn (5 x 5 mm) para EFM32TG108F16-QFN24

No hay datos detallados de patillaje disponibles para EFM32TG108F16-QFN24.

Consulte la hoja de datos para ver la configuración completa de patillas.

Aplicaciones típicas

EFM32TG108F16-QFN24 es adecuado para 6 aplicacións: Battery-Powered Sensor Nodes, Industrial Monitoring and Control, Wearable and Portable Devices, Energy Metering, Portable Measurement Instruments, Connected IoT Control Modules.

🧩

Battery-Powered Sensor Nodes

The EFM32TG108F16-QFN24 fits compact battery-powered sensor nodes because its 32 MHz ARM Cortex-M3 core provides sufficient control capability while the Tiny Gecko architecture is designed around low-energy techniques, energy-saving modes, and short wake-up times. Its 1.85 V to 3.8 V supply range fits low-voltage sensor rails, while the 5 x 5 mm QFN package preserves board area. The device can wake to acquire a measurement, perform local filtering, and return to a low-power state. Exact active and sleep current must be taken from the manufacturer datasheet because the supplied records do not quantify them. Firmware size should also be checked against the 16 KB Flash limit before adding protocol stacks or update buffers.

🏭

Industrial Monitoring and Control

The EFM32TG108F16-QFN24 can serve as the embedded controller in an industrial monitoring module because its 32-bit Cortex-M3 core runs up to 32 MHz and its 16 KB Flash accommodates embedded control and communication firmware. The 1.85 V to 3.8 V operating range supports 2.5 V and 3.3 V industrial electronics, while the compact 24-QFN package reduces footprint in densely populated control cards. A typical design would use the MCU for state-machine execution, sensor conditioning commands, diagnostics, and local data buffering. Engineers should confirm the required GPIO, timers, ADC, and serial interfaces against the exact datasheet because those peripheral details were not quantified in the supplied web results.

📱

Wearable and Portable Devices

The EFM32TG108F16-QFN24 is appropriate for wearable and portable products where board area and energy use are constrained. Its 24-QFN package occupies only 5 x 5 mm, and the 32 MHz Cortex-M3 core provides enough performance for user-interface control, gesture logic, or connected-device protocol handling. The 1.85 V to 3.8 V operating range allows integration with low-energy 2.5 V or 3.3 V power trees, and the Tiny Gecko family's short wake-up behavior can support responsive event-driven operation. The 16 KB Flash constraint should be evaluated against bootloader, application, and update requirements. RAM, GPIO, and exact sleep-current data must be verified before a wearable design is released.

⚡

Energy Metering

The EFM32TG108F16-QFN24 can support energy-metering front ends where a dedicated MCU must combine measurement control, calibration handling, and data processing in a small package. Its 32 MHz ARM Cortex-M3 architecture provides more computation headroom than an 8-bit controller, while the Tiny Gecko family's low-power modes suit meters that remain active for long periods between measurement updates. The 24-QFN footprint supports compact meter boards, and the 1.85 V to 3.8 V supply range permits operation from a regulated low-voltage source. Actual analog connectivity and timer availability are not specified in the supplied records, so the engineer must confirm the required metering peripherals and calibration-memory budget in the EFM32TG108 datasheet.

🔧

Portable Measurement Instruments

The EFM32TG108F16-QFN24 fits portable measurement instruments that need deterministic embedded control without the footprint of a larger microcontroller. At up to 32 MHz, the Cortex-M3 core can coordinate acquisition sequencing, control peripheral devices, and execute local calculations, while the Tiny Gecko low-power platform benefits instruments that operate for long periods between user interactions. The 5 x 5 mm QFN package leaves room for analog and interface circuitry on a densely populated board. The 16 KB Flash limit is suitable for focused firmware but may be restrictive for graphical interfaces or extensive protocol libraries. Verify ADC, timer, serial-interface, memory, and pin requirements in the manufacturer documentation before selecting it for a new instrument architecture.

🌐

Connected IoT Control Modules

The EFM32TG108F16-QFN24 can function as the low-power controller in a connected IoT module that performs local logic, sensor handling, and communication-stack support. The 32 MHz ARM Cortex-M3 core provides sufficient throughput for protocol state machines and application logic, while the 1.85 V to 3.8 V supply range supports common low-voltage rails. Its 24-QFN package is useful when the radio, power system, and sensors already constrain PCB area. The Tiny Gecko family's energy-saving modes and short wake-up times are valuable for intermittent wireless traffic. Because Flash is limited to 16 KB, stacks with substantial code and memory requirements may be better served by the 32 KB F32 variant. Exact RAM and peripheral availability require datasheet confirmation.

Resumen de productos recomendados

EFM32TG108F32-QFN24 Silicon Labs Se usa en: Battery-Powered Sensor Nodes, Industrial Monitoring and Control, Wearable and Portable Devices, Energy Metering, Portable Measurement Instruments, Connected IoT Control Modules EFM32TG108F8-QFN24 Silicon Labs Se usa en: Battery-Powered Sensor Nodes, Wearable and Portable Devices, Connected IoT Control Modules EFM32TG108F16-D-QFN24 Same-family ordering-grade option for environments requiring grade verification Se usa en: Industrial Monitoring and Control, Energy Metering EFM32TG108F4-QQN24 Lower-flash same-family option for minimal measurement firmware Se usa en: Portable Measurement Instruments
What are the key specifications of EFM32TG108F16-QFN24 that engineers should know?
The EFM32TG108F16-QFN24 is a Silicon Labs 32-bit ARM Cortex-M3 Tiny Gecko microcontroller rated up to 32 MHz, with 16 KB (16K x 8) of Flash and a 24-QFN package measuring 5 x 5 mm. According to the Silicon Labs EFM32TG108 datasheet, the family uses low-power operating techniques and short wake-up times. Its verified supply range is 1.85 V to 3.8 V, supporting 2.5 V and 3.3 V designs. RAM, GPIO count, timer details, and exact power characteristics should be checked in the datasheet because they were not quantified in the supplied distributor data.
What is the operating voltage of EFM32TG108F16-QFN24?
The EFM32TG108F16-QFN24 operates from 1.85 V to 3.8 V. The Silicon Labs EFM32TG108 datasheet describes the device as a low-power Cortex-M3 microcontroller, while the supplied component listing confirms the 1.85 V to 3.8 V supply range and identifies 2.5 V and 3.3 V nominal operating points. When designing the power tree, verify the voltage tolerances of every attached peripheral and include the manufacturer-specified bypass capacitors near the supply pins.
Where can I download the EFM32TG108F16-QFN24 datasheet PDF?
The EFM32TG108F16-QFN24 datasheet PDF is available from the Silicon Labs EFM32TG108 datasheet listing hosted by Keil at https://www.keil.com/dd/docs/datashts/energymicro/efm32tg/d0032_efm32tg108_datasheet.pdf. The document covers the EFM32TG108 F32, F16, F8, and F4 variants. Use the pin, memory, electrical-characteristic, and package information for the exact F16-QFN24 ordering code, since related orderable MPNs may differ in flash capacity, temperature grade, or packaging.
Where can I find the EFM32TG108F16-QFN24 pinout?
The authoritative EFM32TG108F16-QFN24 pinout is in the manufacturer datasheet and its package-drawing section, not in the distributor listings supplied here. The verified package is a 24-QFN measuring 5 x 5 mm. Because the provided web data does not expose the complete numbered pad list, this page leaves the pinout null rather than inventing pin names or numbers. Engineers should download the EFM32TG108 datasheet and match its 24-pad QFN drawing to the board footprint and alternate-function table.
Where to buy EFM32TG108F16-QFN24 online?
EFM32TG108F16-QFN24 can be purchased from authorized distributors, including DigiKey and Mouser. The verified DigiKey listing at https://www.digikey.com/en/products/detail/silicon-labs/EFM32TG108F16-QFN24/2508068 states “Buy now, ships today,” while Mouser provides a separate product listing. Numeric prices were not included in the retrieved records, so no price is stated here. Request a current quote and stock confirmation directly from the distributor before placing a production order.
What is the price of EFM32TG108F16-QFN24?
The current unit price of EFM32TG108F16-QFN24 is not available in the verified records supplied for this page, so no numeric amount should be inferred from the distributor listings. DigiKey and Mouser both list the part, and the DigiKey result reports that it can ship today. Because component pricing changes with quantity, inventory, and market conditions, request a current price for quantities of 1, 10, 100, 500, and 1,000 units. Prices should be compared as of the quotation date.
What is the lead time for EFM32TG108F16-QFN24?
The verified DigiKey listing for EFM32TG108F16-QFN24 says “ships today,” indicating that at least one stocked channel was available when the listing was retrieved on 2026-10-29. Actual lead time can still change with order volume and inventory, so this statement is a point-in-time availability signal rather than a production commitment. Mouser also lists the MPN. For a scheduled build, obtain written stock and delivery confirmation from the selected authorized distributor.
Is EFM32TG108F16-QFN24 in stock?
EFM32TG108F16-QFN24 was listed as available for immediate shipment by DigiKey on 2026-10-29, while Mouser also provides an active product listing. The supplied evidence does not contain a numeric inventory count, so it cannot support a quantity-on-hand claim. Check the distributor inventory in real time before scheduling assembly. The product is presented as active, but distributor stock is separate from the manufacturer's lifecycle status and should not be used as the sole lifecycle determination.
EFM32TG108F16-QFN24 vs EFM32TG108F32-QFN24 - which is better for firmware-heavy designs?
Choose the EFM32TG108F32-QFN24 when 32 KB of Flash is preferable to the EFM32TG108F16-QFN24's 16 KB, and choose the F16 version when the smaller memory footprint is sufficient. The verified Silicon Labs listing identifies the F32 part as a 32 MHz ARM Cortex-M3 Tiny Gecko MCU with 32 KB of Flash, 4 KB of RAM, and 17 digital I/O pins. The F32 device therefore doubles Flash capacity by 100%, but firmware, tables, and application code must be confirmed to fit before substitution.
What is the difference between EFM32TG108F16-QFN24 and EFM32TG108F8-QFN24?
The primary documented difference is Flash capacity: EFM32TG108F16-QFN24 provides 16 KB, while EFM32TG108F8-QFN24 provides 8 KB of the same 32 MHz ARM Cortex-M3 Tiny Gecko platform. The F8 version therefore has 50% less Flash than the F16 model. The F8 part can be appropriate for smaller code bases or as a lower-memory family option, but firmware size and boot-code requirements must be measured before selecting it for a new design.
When should I choose EFM32TG108F16-QFN24 over EFM32TG108F8-QFN24?
Choose the EFM32TG108F16-QFN24 when application code, calibration data, protocol tables, or update buffers may exceed the 8 KB Flash available in the F8 variant. Both devices belong to the same Tiny Gecko family and target a 32 MHz ARM Cortex-M3 architecture, so the F16 choice primarily protects memory headroom. It does not automatically solve a RAM shortage, and the target device's exact RAM and peripheral configuration were not quantified in the supplied records.
What can replace EFM32TG108F16-QFN24?
The closest documented drop-in candidates are the 24-QFN EFM32TG108F32-QFN24 and EFM32TG108F8-QFN24 from the same Tiny Gecko family, plus lower-flash F4 and F16 grade variants. The F32 option doubles Flash from 16 KB to 32 KB, while F8 reduces it by 50% and F4 by 75%. These same-family candidates require firmware, memory-map, and pin-function verification before substitution. The supplied cross-reference search did not establish five independently qualified drop-in replacements.
Can EFM32TG108F16-D-QFN24 replace EFM32TG108F16-QFN24?
The EFM32TG108F16-D-QFN24 uses the same base EFM32TG108F16 device, 16 KB Flash capacity, 32 MHz maximum frequency, and 24-QFN package naming as the target. The D suffix identifies a different ordering grade, but the supplied records do not state its numeric temperature limits. It should therefore be treated as a conditional same-family replacement: confirm the required temperature range, pin configuration, qualification status, and programming support before using it in an existing design.
Is EFM32TG108F16-QFN24 suitable for battery-powered sensor applications?
The EFM32TG108F16-QFN24 is suitable for battery-powered sensor applications when its 32 MHz ARM Cortex-M3 performance and low-power architecture match the workload. The Silicon Labs EFM32TG108 datasheet specifically describes low-energy techniques, energy-saving modes, and short wake-up times for battery-operated equipment. A 1.85 V to 3.8 V operating range also supports compact 2.5 V or 3.3 V power systems. Actual battery life must be calculated from measured active and sleep currents because exact current values were not present in the supplied web data.
What is the best Silicon Labs equivalent for EFM32TG108F16-QFN24?
The best Silicon Labs family alternatives are the EFM32TG108F32-QFN24, EFM32TG108F8-QFN24, EFM32TG108F4-QFN24, and EFM32TG108F16-D-QFN24 when their memory or ordering-grade requirements are acceptable. The F32 option offers 32 KB of Flash, 100% more than the target's 16 KB, while F8 and F4 reduce Flash by 50% and 75%. All retain the Tiny Gecko platform, 32 MHz Cortex-M3 architecture, and QFN-24 family format, but exact pin multiplexing and firmware compatibility still require datasheet-level review.
How does EFM32TG108F16-QFN24 support low-power embedded control?
The EFM32TG108F16-QFN24 supports low-power embedded control by combining a 32 MHz ARM Cortex-M3 core with the Tiny Gecko family's energy-saving modes and short wake-up times. According to the Silicon Labs EFM32TG108 datasheet, this combination is intended for battery-operated applications and systems requiring high energy efficiency. The device's 1.85 V to 3.8 V range supports low-voltage rails, while its compact 5 x 5 mm QFN package reduces board area. Average power should be validated using the exact sleep mode, peripheral configuration, and operating frequency.

Datos de referencia de ingeniería para EFM32TG108F16-QFN24 — comparación, orientación de diseño e información de cumplimiento.

Guía de selección

Choose the EFM32TG108F16-QFN24 when a compact, low-power 32 MHz Cortex-M3 design needs 16 KB of Flash and operates within a 1.85 V to 3.8 V supply range. Select the EFM32TG108F32-QFN24 when code size, tables, or update buffers require 32 KB of Flash; it provides twice the memory of the target. Use the EFM32TG108F8-QFN24 only when 8 KB is sufficient, and choose the F4 variant only for substantially smaller firmware. The EFM32TG108F16-D-QFN24 may fit designs requiring a different ordering grade, but the supplied records do not quantify its temperature limits. All listed candidates are same-brand Tiny Gecko QFN-24 devices, so software compatibility and exact pin functions should be validated before substitution. No cross-brand drop-in candidate was verified from the supplied cross-reference data.

Comparación con alternativas

Parámetro Este producto EFM32TG108F32-QFN24 EFM32TG108F16-D-QFN24 EFM32TG108F8-QFN24 EFM32TG108F4-QFN24
Brand Silicon Labs Silicon Labs Silicon Labs Silicon Labs Silicon Labs
Package 24-QFN (5 x 5 mm) 24-QFN (5 x 5 mm) 24-QFN (5 x 5 mm) 24-QFN (5 x 5 mm) 24-QFN (5 x 5 mm)
Processor Core ARM Cortex-M3, 32-bit ARM Cortex-M3, 32-bit ARM Cortex-M3, 32-bit ARM Cortex-M3, 32-bit ARM Cortex-M3, 32-bit
Maximum CPU Frequency 32 MHz 32 MHz 32 MHz 32 MHz 32 MHz
Flash Memory 16 KB 32 KB 16 KB 8 KB 4 KB
Series Tiny Gecko Tiny Gecko Tiny Gecko Tiny Gecko Tiny Gecko
Orderable Grade Suffix Standard F16 suffix F32 suffix F16-D suffix F8 suffix F4 suffix

Diferenciadores clave

  • Balances 32-bit processing with a 16 KB memory footprint (frente a EFM32TG108F8-QFN24)
  • Uses less onboard code storage than the higher-capacity family option (frente a EFM32TG108F32-QQN24)
  • Provides a documented low-voltage operating range in a compact QFN package (frente a EFM32TG108F16-D-QFN24)

Notas de diseño

Design the EFM32TG108F16-QFN24 power tree around the verified 1.85 V to 3.8 V device range and the requirements of the selected board voltage, commonly 2.5 V or 3.3 V. Place the manufacturer's required input and output capacitors close to the supply pins, verify their voltage and DC-bias characteristics, and confirm startup behavior against the selected grade. Do not infer quiescent or sleep current from the 1.85 V to 3.8 V specification; obtain those values from the exact datasheet revision and validate them on the final board.

Use the manufacturer QFN-24 land pattern and match it to the exposed-pad, thermal, and solder-mask requirements shown in the EFM32TG108 package drawing. Although the package is only 5 x 5 mm, pin escape and exposed-pad soldering can dominate assembly yield. Check paste volume and the reflow profile for the selected package, preserve access for inspection, and avoid placing tall components where they can interfere with the QFN body or thermal pad.

Do not assume that every EFM32TG108 memory suffix is interchangeable. The F16 target has 16 KB of Flash, while the F8 and F4 family variants provide 50% and 75% less storage, respectively; the F32 variant doubles it. A replacement can therefore fail even when its package and CPU match if bootloader or application code exceeds the new device's Flash. Rebuild with the replacement's official headers, linker configuration, and memory map, then verify programming and wake-up behavior.

Keep sensitive analog or high-speed signal paths away from the MCU's supply-return and switching-current loops, while routing decoupling current to the relevant pins through short, low-loop-area paths. Clock, debug-programming, and communication nets require continuity and impedance decisions appropriate to their edge rates. The supplied data does not identify the full pin map or board-level layout requirements, so use the datasheet pin table and recommended layout schematic as the controlling references.

Información de cumplimiento

RoHS
Unknown
REACH
Unknown
AEC-Q100
Unknown
Libre de plomo
Unknown
Libre de halógenos
Unknown
Minerales en conflicto
Unknown

The supplied manufacturer and distributor records do not explicitly state RoHS, REACH, AEC-Q100, lead-free, halogen-free, or conflict-minerals status. These fields remain unknown rather than being inferred from the product family or package.

Datos verificados el: 2026-10-29 — datos verificados y seleccionados por el equipo de ingeniería de componentes de XAIPART

Búsquedas relacionadas

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Componentes & términos relacionados

Silicon Labs EFM32TG108F16-QFN24 EFM32TG108F32-QFN24 EFM32TG108F16-D-QFN24 EFM32TG108F8-QFN24 EFM32TG108F4-QFN24 ARM ARM Cortex-M3 ARMv7-M Tiny Gecko MCU microcontroller embedded processor semiconductor 32-bit architecture Flash memory RAM 24-QFN QFN package family surface-mount technology SMD low-power architecture energy-saving modes wake-up time supply voltage
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