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EFM32TG108F8-QFN24 - 32MHz ARM Cortex-M3 MCU | Silicon Labs

N.º da peça: EFM32TG108F8-QFN24 ✓ Ativo
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1.85 V to 3.8 V Vdss 24-QFN (5 mm x 5 mm) Package 32 MHz Speed 8 kB Memory
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Preço atualizado: 2026-10-22
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EFM32TG108F8-QFN24 Visão geral

The Silicon Labs EFM32TG108F8-QFN24 is an ARM Cortex-M3 microcontroller (MCU) operating up to 32 MHz, with 8 kB Flash, 2 kB RAM, 17 digital I/O pins, and two 16-bit timers, housed in a 24-QFN package. The device is built on Silicon Labs' Tiny Gecko low-power platform, emphasizing energy efficiency, fast wake-up, and low-power operating modes for battery-operated and energy-sensitive systems.

A microcontroller is a compact embedded-computing device that integrates a processor core, memory, and peripherals into one integrated circuit. The EFM32TG family belongs to the ARM Cortex-M microcontroller class and the broader embedded processor hierarchy. Its low-power platform includes energy-saving modes intended to extend operating time when the system is mostly idle and must wake quickly for intermittent sensing, control, or communications.

The EFM32TG108F8-QFN24 provides an ARM Cortex-M3 core, 8 kB of Flash, and 2 kB of RAM. Its 17 digital I/O pins support compact embedded designs that need discrete input and output functions without a larger package. Two 16-bit timers provide timing resources for periodic activities, sensor sampling, timing interfaces, or motor and actuator control. Its 24-QFN package is specified as 5 mm by 5 mm with an exposed pad.

The 32 MHz operating speed provides deterministic processing performance for control-oriented applications while retaining a compact, low-power architecture. The combination of Cortex-M3 processing, integrated memories, timers, and digital I/O makes the device suitable for small embedded products where board area, energy use, and rapid wake-up behavior are important design constraints.

Typical applications include battery-operated sensors, IoT endpoint nodes, compact industrial controllers, building automation interfaces, low-power instrumentation, and wearable or portable products. In these systems, the MCU can sleep between events, wake for a measurement or control task, and return to a low-power state while the timers and digital I/O support local system behavior.

Designers should confirm the exact pin functions, exposed-pad connection, decoupling requirements, and programming setup from the manufacturer datasheet before layout. The QFN thermal pad and exposed-pad layout should follow the package drawing, while firmware should account for the device's low-power states and wake-up sources to achieve the intended battery life.

Alternativas drop-in para EFM32TG108F8-QFN24 — mesmo encapsulamento, compatível pino a pino. Peças de encapsulamento diferente que exigem retrabalho na PCB são excluídas.

Variantes desta série

Modelos da mesma série compatíveis como drop-in com EFM32TG108F8-QFN24 (mesmo formato e footprint) — diferindo em Timers, Flash Memory, Package, RAM, Supply Voltage Range.

Silicon Labs
Timers: 2 x 16-bit
Flash Memory: 32 kB (32K x 8)
RAM: 4 kB
Comparar com EFM32TG108F8-QFN24 →
Silicon Labs
Package: 24-QFN (5 x 5 mm)
Comparar com EFM32TG108F8-QFN24 →

Ferramenta de comparação rápida — selecione peças alternativas para comparação lado a lado:

EFM32TG108F8-D-QFN24

✅ Drop-In
📦 24-QFN (5 mm x 5 mm)
Silicon Labs revision D route; documented as a drop-in replacement and intended to resolve two errata items, with no verified change to the 24-QFN footprint or 32 MHz core

📋 Alternativa de referência (fora do catálogo)

EFM32TG108F8-QFN24T

✅ Drop-In
📦 24-QFN (5 mm x 5 mm)
T denotes the tape-and-reel ordering form while retaining the same 24-QFN device, 32 MHz Cortex-M3 core, 8 kB Flash, and 2 kB RAM

📋 Alternativa de referência (fora do catálogo)

EFM32TG110F8-QFN24

✅ Drop-In
Silicon Labs
📦 24-QFN (5 mm x 5 mm)
32-bit ARM Cortex-M3 microcontroller · Tiny Gecko · 32 MHz · ARM Cortex-M3 · 8 kB Flash · 2 kB RAM · 17 · 2 x 16-bit timers

✓ Em estoque

Consulte o preço

Ver ficha técnica →

EFM32ZG108F8-QFN24

✅ Drop-In
Silicon Labs
📦 24-QFN (5 mm x 5 mm)
ARM Cortex-M0+ · 32-bit · 24 MHz · 8 KB · 2 KB · 17 · 2 x 16-bit · 24-QFN (5 mm x 5 mm)

✓ Em estoque

$2.8388 / unidade

Ver ficha técnica →

EFM32TG108F8-QFN24 Classificações máximas e características elétricas

Product Type 32-bit ARM Cortex-M3 microcontroller
Core ARM Cortex-M3
Maximum Clock Speed 32 MHz
Flash Memory 8 kB
RAM 2 kB
Digital I/O Pins 17
Timers 2 x 16-bit timers
Series Tiny Gecko
Supply Voltage Range 1.85 V to 3.8 V
Encapsulamento 24-QFN (5 mm x 5 mm)
Package Type QFN with exposed pad
Tipo de montagem Surface mount
Low-Power Features Energy-saving modes and fast wake-up
Status RoHS Compliant
Bromine and Antimony Content Free of Bromine (Br) and Antimony (Sb)
Programmer Support Elnec device programmer support for EFM32TG108F8 QFN24
Datasheet Format PDF

Guia de Configuração de Pinos do EFM32TG108F8-QFN24 qfn with exposed pad

Configuração de pinos para EFM32TG108F8-QFN24 (pacote qfn with exposed pad). Este CI digital inclui GPIO, interfaces de comunicação (UART, SPI, I2C) e pinos de alimentação. Consulte o datasheet do fabricante para funções alternativas dos pinos e opções de configuração. Essencial para projeto de sistemas embarcados e layout de PCB.

Diagrama de pinagem do pacote qfn with exposed pad para EFM32TG108F8-QFN24

Nenhum dado detalhado de pinagem disponível para EFM32TG108F8-QFN24.

Consulte a ficha técnica para a configuração completa dos pinos.

Aplicações típicas

EFM32TG108F8-QFN24 é adequado para 6 aplicaçãos: Battery-Operated IoT Sensor Node, Portable Environmental Monitor, Compact Building Automation Endpoint, Low-Power Industrial Controller, Wearable Device Control Hub, Compact Instrumentation Front End.

🧩

Battery-Operated IoT Sensor Node

The EFM32TG108F8-QFN24 fits compact battery-powered sensor nodes because its 32 MHz ARM Cortex-M3 core provides responsive local control while the Tiny Gecko platform supports energy-saving modes and fast wake-up. The 2 kB RAM can hold a small working state and 8 kB Flash can store tightly scoped application firmware, although code size requires careful budgeting. A 17-I/O device also supports sensors, indicators, and a compact control interface. The main engineering trade-off is limited memory: protocol-heavy or locally stored data applications should use a higher-memory MCU instead.

📱

Portable Environmental Monitor

A portable environmental monitor can use the EFM32TG108F8-QFN24 for periodic temperature, humidity, or gas sensing because fast wake-up reduces the time the processor remains active between measurements. Its two 16-bit timers support periodic sampling, sensor timeouts, and display or logging intervals, while 17 digital I/O pins can accommodate sensor enables, status indicators, and buttons. Because the device offers only 8 kB Flash and 2 kB RAM, it is best for local measurements that do not require large histories or a full graphical user interface.

🏭

Compact Building Automation Endpoint

The EFM32TG108F8-QFN24 is appropriate for compact building-automation endpoints that switch or monitor loads, collect digital sensor states, and coordinate low-power wake schedules. Its 17 digital I/O pins provide practical control of relays, inputs, and indicators, and the timers can establish recurring schedules without an external real-time clock. The 24-QFN footprint limits board area, while the 1.85 V to 3.8 V operating range simplifies integration with compatible low-voltage power trees. Firmware should use the documented low-power modes rather than leaving the core running continuously.

🏭

Low-Power Industrial Controller

The EFM32TG108F8-QFN24 can serve as a low-power industrial controller for compact products that monitor discrete inputs and operate actuators through timers and digital outputs. Its 32 MHz Cortex-M3 performance supports responsive state-machine control, and the two 16-bit timers are useful for pulse measurement, motor timing, or periodic control tasks. The MCU's small 24-QFN package conserves PCB area, but designers should account for the exposed pad, input protection, and supply decoupling. It is strongest where deterministic low-power behavior matters more than large memory capacity.

⌚

Wearable Device Control Hub

A wearable control hub can use the EFM32TG108F8-QFN24 when low standby energy, compact size, and modest processing requirements are priorities. The 5 mm by 5 mm 24-QFN leaves room for sensors, a small power source, and user-interface hardware, while the Cortex-M3 core handles input debouncing, haptic timing, and low-rate sensor fusion. Two 16-bit timers support precise haptic or sampling intervals. Because only 2 kB RAM and 8 kB Flash are available, the design should avoid local buffering and offload richer processing to a companion device.

🔧

Compact Instrumentation Front End

The EFM32TG108F8-QFN24 is useful as a compact control front end for instrumentation that coordinates sensors, calibration states, and a small operator interface. The two 16-bit timers can manage sampling cadence and measurement windows, while 17 digital I/O pins support switches, status LEDs, and control signals. Its 32 MHz Cortex-M3 core also allows local calculations without a separate host. The main constraint is memory: telemetry formatting, large data buffers, and complex graphical interfaces may exceed 8 kB Flash, making a higher-memory EFM32 more appropriate.

What is the operating voltage of EFM32TG108F8-QFN24?
The EFM32TG108F8-QFN24 operates from 1.85 V to 3.8 V according to the manufacturer datasheet and the verified product specifications. This range supports low-voltage embedded systems and confirms that the MCU should not be operated above 3.8 V without appropriate protection and design review. When designing the power rail, verify the required operating voltage across temperature and load conditions, then size the regulator and decoupling capacitors for the selected board architecture.
How much Flash and RAM does EFM32TG108F8-QFN24 have?
The EFM32TG108F8-QFN24 includes 8 kB of Flash and 2 kB of RAM. According to the Silicon Labs manufacturer product page, the device combines this compact memory with a 32 MHz ARM Cortex-M3 core for embedded control. The available memory should be checked against application code size, bootloader requirements, retained state, buffers, and stack depth before firmware development begins.
What processor does EFM32TG108F8-QFN24 use?
The EFM32TG108F8-QFN24 uses an ARM Cortex-M3 processor core operating up to 32 MHz. According to the Silicon Labs manufacturer page, this 32-bit MCU is based on the low-power Tiny Gecko platform. The Cortex-M3 core provides an established embedded instruction set and ecosystem, while the Tiny Gecko platform adds low-energy techniques and fast wake-up behavior.
Where can I download the EFM32TG108F8-QFN24 datasheet PDF?
The verified EFM32TG108F8-QFN24 datasheet PDF is available from the Keil-hosted manufacturer document at https://www.keil.com/dd/docs/datashts/energymicro/efm32tg/d0032_efm32tg108_datasheet.pdf. Silicon Labs also provides the product and specification pages linked in the data sources. Use the manufacturer document for the definitive pinout, package drawing, electrical characteristics, and device revision information.
Where can I find the EFM32TG108F8-QFN24 pinout and QFN24 package drawing?
The EFM32TG108F8-QFN24 pinout and QFN24 package drawing are documented in the manufacturer datasheet PDF identified as d0032_efm32tg108_datasheet.pdf. The verified component is packaged as a 24-QFN measuring 5 mm by 5 mm with an exposed pad. Because the exposed pad and individual pin assignments are package-specific, consult the datasheet diagram before creating the PCB footprint or assigning board functions.
Where can I buy EFM32TG108F8-QFN24 online?
EFM32TG108F8-QFN24 can be purchased through authorized distributors, including DigiKey and Mouser, with additional inventory listings available through Octopart. The verified DigiKey listing identifies the part as a Silicon Labs ARM Cortex-M3 Tiny Gecko MCU in a 24-QFN package. Request a current quote through XAIPART to confirm availability, lot traceability, and the price as of 2026-10-23.
What is the price of EFM32TG108F8-QFN24?
A verified unit price for EFM32TG108F8-QFN24 was not included in the supplied distributor data, so the current commercial price is [DATA_NEEDED: current unit price]. The DigiKey, Mouser, and Octopart pages can be used to obtain a live quote, while XAIPART can confirm order pricing and supply. Pricing should always be checked as of 2026-10-23 because distributor inventory and volume breaks can change.
What is the lead time for EFM32TG108F8-QFN24?
The exact lead time for EFM32TG108F8-QFN24 was not stated in the verified web data, so it is [DATA_NEEDED: manufacturer or distributor lead time]. DigiKey's listing states that the part ships today, but that statement is not a guaranteed quantity-specific lead time. For production planning, obtain a written distributor quotation confirming the requested quantity, date code, and delivery schedule as of 2026-10-23.
Is EFM32TG108F8-QFN24 in stock?
The verified DigiKey listing states that EFM32TG108F8-QFN24 can be ordered and ships today, indicating distributor availability at the time of retrieval. The exact live stock quantity is [DATA_NEEDED: current stock quantity], and the other Octopart-distributed inventory may change. XAIPART availability is modeled as order-on-request in structured data until a current quote confirms physical stock and allocation.
What are the key specifications of EFM32TG108F8-QFN24 that engineers should know?
The EFM32TG108F8-QFN24 combines a 32 MHz ARM Cortex-M3 core, 8 kB Flash, 2 kB RAM, 17 digital I/O pins, and two 16-bit timers in a 5 mm by 5 mm 24-QFN package. According to the Silicon Labs manufacturer page, its Tiny Gecko platform emphasizes low-power operation, fast wake-up, and energy-saving modes. Its 1.85 V to 3.8 V supply range makes it particularly relevant to compact, battery-operated embedded systems.
Is EFM32TG108F8-QFN24 suitable for battery-operated sensor applications?
The EFM32TG108F8-QFN24 is suitable for battery-operated sensor applications because its Tiny Gecko platform includes energy-saving modes and fast wake-up behavior. The MCU can remain in a low-power state between measurements and process sensor activity quickly when required. Actual battery life depends on the complete design, including sensor current, wake-up frequency, radio activity, regulator efficiency, and firmware, so those factors must be measured rather than inferred from the MCU name alone.
What can replace EFM32TG108F8-QFN24?
The verified replacement evidence identifies EFM32TG108F8-D-QFN24 and EFM32TG108F8-QFN24T as close Silicon Labs options, while EFM32ZG108F8-QFN24 appears in comparison data but requires qualification before use. The safest confirmed replacement route is the Silicon Labs revision and tape-and-reel ordering variants, subject to firmware, device-identification, and production-revision checks. No unqualified cross-brand drop-in replacement was established by the supplied data.
What is the best drop-in replacement for EFM32TG108F8-QFN24?
EFM32TG108F8-D-QFN24 is the closest documented same-brand drop-in candidate for EFM32TG108F8-QFN24 because it uses the same 24-QFN format and represents a Silicon Labs product-revision route. Silicon Labs' product-change notice states that it contains a drop-in replacement part number and resolves two errata items involving the DECOUPLE output and pin reset. Confirm the exact ordering code, device revision, and firmware support before production substitution.
EFM32TG108F8-QFN24 vs EFM32ZG108F8-QFN24 - which is better for low-power products?
EFM32TG108F8-QFN24 is the safer choice for a new Tiny Gecko design requiring the verified 32 MHz Cortex-M3 configuration with 8 kB Flash, 2 kB RAM, 17 digital I/O pins, and two 16-bit timers. EFM32ZG108F8-QFN24 appears in the supplied comparison results, but the verified data does not establish a full pin-to-pin and parameter-equivalent relationship. Use the original Tiny Gecko device unless Silicon Labs confirms compatibility for the specific ZG revision.
When should I choose EFM32TG108F8-QFN24 over a larger ARM Cortex-M MCU?
Choose EFM32TG108F8-QFN24 when the application fits within 8 kB Flash, 2 kB RAM, and 17 digital I/O pins, and low-power wake behavior is more valuable than memory or peripheral capacity. Its 5 mm by 5 mm 24-QFN footprint also supports compact board layouts. Select a larger Cortex-M MCU when the firmware, data buffers, external interfaces, pin count, or automotive qualification requirements exceed what this device can support.

Dados de referência de engenharia para EFM32TG108F8-QFN24 — comparação, orientação de projeto e informações de conformidade.

Guia de seleção

Choose EFM32TG108F8-QFN24 for compact, low-power embedded products that fit within 8 kB Flash, 2 kB RAM, 17 digital I/O pins, and two 16-bit timers. Its 32 MHz Cortex-M3 core, 1.85 V to 3.8 V range, fast wake-up behavior, and 5 mm by 5 mm package make it well suited to sensor nodes, portable controls, and small building-automation endpoints. EFM32TG108F8-D-QFN24 is the preferred revision-qualified route because Silicon Labs documents it as a drop-in replacement and addresses two errata items. EFM32TG108F8-QFN24T is appropriate when the same exact device is needed in a tape-and-reel production ordering format. Consider EFM32TG110F8-QFN24 only after reviewing its verified memory and peripheral differences. Treat EFM32ZG108F8-QFN24 as a qualification candidate rather than an automatic substitution because the supplied evidence does not establish complete pin and parameter equivalence.

Comparação com alternativas

Parâmetro Este produto EFM32TG108F8-D-QFN24 EFM32TG108F8-QFN24T EFM32TG110F8-QFN24 EFM32ZG108F8-QFN24
Brand Silicon Labs Silicon Labs Silicon Labs Silicon Labs Silicon Labs
Package 24-QFN (5 mm x 5 mm) 24-QFN (5 mm x 5 mm) - same 24-QFN (5 mm x 5 mm) - same 24-QFN (5 mm x 5 mm) - same 24-QFN (5 mm x 5 mm) - same

Principais diferenciais

  • Documented Silicon Labs revision and drop-in route (vs EFM32TG108F8-D-QFN24)
  • Exact device configuration with production reel ordering (vs EFM32TG108F8-QFN24T)
  • Tiny Gecko power-management architecture (vs EFM32ZG108F8-QFN24)

Notas de projeto

Use the manufacturer QFN24 land pattern and thermal-pad geometry rather than adapting a generic QFN footprint. The verified package is 24-QFN, 5 mm by 5 mm, with an exposed pad. Route the pad to the recommended ground or thermal land according to the datasheet and keep short high-frequency return paths beneath the device. Confirm paste-aperture dimensions, pad numbering, and solder-reflow profile during PCB library signoff.

Design the 1.85 V to 3.8 V supply rail with margin for startup, transients, and the device's operating mode. Place local decoupling at the supply pins using the capacitance and layout specified by the manufacturer datasheet. For battery systems, estimate average current from active time, standby current, wake frequency, and peripheral leakage rather than CPU frequency alone. Estimated average current equals active current multiplied by active duty cycle plus standby current multiplied by standby duty cycle.

Do not treat the exposed pad as an optional thermal feature or assume that any 24-QFN device is pin-compatible. Verify every pin against the manufacturer datasheet, especially power, ground, reset, programming, and analog-capable functions. Also check firmware support for the device revision before using EFM32TG108F8-D-QFN24 as a substitution; the revision is intended to resolve two documented errata items and should be validated in the complete product design.

Informações de conformidade

RoHS
Compliant
REACH
Unknown
AEC-Q100
Not Applicable
Sem chumbo
Unknown
Sem halogênios
Unknown
Minerais de conflito
Unknown

The manufacturer datasheet states that EFM32 packages are RoHS compliant and free of Bromine and Antimony. No verified information was supplied for REACH, lead-free status, halogen-free status, or conflict-minerals compliance.

Buscas relacionadas

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Componentes & termos relacionados

Silicon Labs EFM32TG108F8-QFN24 EFM32TG108F8-D-QFN24 EFM32TG108F8-QFN24T EFM32TG110F8-QFN24 EFM32ZG108F8-QFN24 ARM Cortex-M3 microcontroller MCU embedded processor Tiny Gecko low-power semiconductor energy-saving mode fast wake-up 24-QFN QFN family surface mount SMD Flash memory RAM digital I/O 16-bit timer battery-operated application IoT sensor node RoHS
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