Specialized ICs

Image Part Number Description / PDF Quantity Rfq
74LVC3G04GD

74LVC3G04GD

NXP Semiconductors

NOW NEXPERIA 74LVC3G04GD - INVER

0

TCA355G

TCA355G

IR (Infineon Technologies)

TCA355G - PROXIMITY SWITCH

0

74AHC2G00DC125

74AHC2G00DC125

NXP Semiconductors

NOW NEXPERIA 74AHC2G00DC-Q100 -

9000

LM9830VJD/NOPB

LM9830VJD/NOPB

CONSUMER CIRCUIT, PQFP100

5022

TC2574VOETR

TC2574VOETR

Roving Networks / Microchip Technology

0.5A STEP-DOWN SWITCHING REGULAT

1820

S9S08SG32E1CTJ574

S9S08SG32E1CTJ574

NXP Semiconductors

8-BIT MCU, S08 CORE, 32KB FLASH,

75

HCS515-I/SL

HCS515-I/SL

Roving Networks / Microchip Technology

IC CODE HOPPING DECODER 14SOIC

0

USX2014-NU-02

USX2014-NU-02

Fluke Electronics

USX2014-NU-02

0

DLP9500FLN

DLP9500FLN

Texas Instruments

CONSUMER CIRCUIT

1

PMBT2907AYS115

PMBT2907AYS115

NXP Semiconductors

NOW NEXPERIA PMBT2907AYS SMALL S

12026

BTA410X-800BT127

BTA410X-800BT127

NXP Semiconductors

NOW WEEN - BTA410X-800BT - 3 QUA

4000

TJA1051T/E/1118

TJA1051T/E/1118

NXP Semiconductors

HIGH-SPEED CAN TRANSCEIVER

0

AM26LS32ACDBR

AM26LS32ACDBR

Texas Instruments

QUAD RECEIVER RS-422/RS-423 16-P

24120

PDTC123JU

PDTC123JU

NXP Semiconductors

PDTC123J SERIES - NPN RESISTOR-E

0

SIT8003AC-23-33E-15.97050Y

SIT8003AC-23-33E-15.97050Y

SIT8003 LOW POWER PROGRAMMABLE O

1000

TL-SCSI285MJB

TL-SCSI285MJB

Texas Instruments

FIXED POSITIVE LDO REGULATOR, 2.

0

MAX456EQH+

MAX456EQH+

Analog Devices, Inc.

MAX456 8 X 8 VIDEO CROSSPOINT SW

0

PDTC144TU115

PDTC144TU115

NXP Semiconductors

NOW NEXPERIA PDTC144TU - SMALL S

141000

SN75179BPS-MAAS

SN75179BPS-MAAS

Texas Instruments

ANALOG AUTOMOTIVE

1877

LM4930LQ

LM4930LQ

CONSUMER CIRCUIT

1000

Specialized ICs

1. Overview

Specialized ICs (Application-Specific Integrated Circuits, ASICs) are customized microchips designed for specific functions or applications, unlike general-purpose ICs. They optimize performance, power efficiency, and size for targeted tasks, playing a critical role in modern electronics such as telecommunications, automotive systems, and AI accelerators.

2. Main Types and Functional Classification

Type Functional Characteristics Application Examples
ASIC (Application-Specific IC) Custom-designed for a specific application with fixed functionality Smartphones, IoT devices, medical imaging equipment
FPGA (Field-Programmable Gate Array) Reconfigurable logic blocks and interconnects for dynamic functionality 5G base stations, industrial automation, prototyping systems
SoC (System-on-Chip) Integrates CPU, GPU, memory, and peripherals on a single chip Wearable devices, autonomous vehicles, edge computing
ASSP (Application-Specific Standard Product) Standardized ICs for specific applications (not fully customized) Networking switches, display drivers, power management
PLD (Programmable Logic Device) Basic programmable ICs for simple logic operations Consumer electronics, automotive sensors

3. Structure and Composition

A typical Specialized IC includes:

  • Semiconductor Substrate: Silicon wafer with CMOS/BiCMOS processes
  • Transistor Array: Millions to billions of MOSFETs or FinFETs
  • Metal Layers: Multi-layer interconnects for signal routing
  • IP Blocks: Pre-designed modules (e.g., ARM cores, DSP units)
  • Package: BGA, QFN, or flip-chip for thermal/electrical performance

4. Key Technical Specifications

Parameter Description Importance
Power Consumption Measured in watts (W) or milliwatts (mW) Determines battery life and thermal management
Operating Frequency Maximum speed (GHz) for signal processing Impacts system performance and latency
Process Node Manufacturing technology (e.g., 7nm, 5nm) Defines transistor density and energy efficiency
Die Size Physical chip dimensions (mm ) Affects cost and integration level
Thermal Resistance Ability to dissipate heat ( C/W) Crucial for reliability in high-performance applications

5. Application Fields

Main industries and equipment:

  • Telecommunications: 5G modems, optical transceivers
  • Automotive: ADAS sensors, battery management systems
  • Healthcare: MRI scanners, portable diagnostic devices
  • AI/ML: Neural network accelerators, vision processing units
  • Industrial: Smart meters, robotics controllers

6. Leading Manufacturers and Products

Manufacturer Representative Product Application
Intel Stratix 10 FPGA High-performance computing (HPC)
Xilinx Zynq UltraScale+ MPSoC Autonomous driving and AI
Texas Instruments AFE5805 (Analog Front-End) Medical imaging
Qualcomm SM8350 SoC 5G smartphones
STMicroelectronics STM32MP1 (MPU) Industrial IoT

7. Selection Guidelines

Key considerations:

  • Performance Requirements: Match clock speed and throughput to application needs
  • Power Efficiency: Prioritize low-power designs for battery-operated devices
  • Scalability: Choose programmable solutions (e.g., FPGA) for future upgrades
  • Cost: Balance NRE costs vs. volume production economics
  • Compatibility: Ensure package footprint and voltage levels align with system design

8. Industry Trends

Emerging trends include:

  • AI-Optimized ICs: Development of dedicated AI accelerators (e.g., TPUs)
  • Advanced Packaging: Adoption of 2.5D/3D stacking for higher integration
  • Energy Efficiency: Focus on sub-1V operation and RISC-V-based architectures
  • Security Integration: Hardware-based encryption and tamper-proof designs
  • Heterogeneous Computing: Combining CPU/GPU/NPU cores in single SoCs
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