Specialized ICs

Image Part Number Description / PDF Quantity Rfq
74CBTLV3257PW/S911

74CBTLV3257PW/S911

Nexperia

74CBTLV3257 - QUAD 1-OF-2 MULTIP

62500

SN75107BNS

SN75107BNS

Texas Instruments

IC DUAL LINE RECEIVER 14SO

16650

CM2021-02TR

CM2021-02TR

CONSUMER CIRCUIT, PDSO38

70423

AD9174BBPZ

AD9174BBPZ

Analog Devices, Inc.

DUAL, 16-BIT, 12GSPS DAC

57

PBSS4160X,135

PBSS4160X,135

Nexperia

SMALL SIGNAL BIPOLAR TRANSISTOR

4000

MIC809LUYTR

MIC809LUYTR

Roving Networks / Microchip Technology

MICROPROCESSOR RESET CIRCUIT

2418

SIT9001AC-23-25E3100.00000T

SIT9001AC-23-25E3100.00000T

SIT9001 PROGRAMMABLE SPREAD SPEC

3000

SN74AS32NS

SN74AS32NS

Texas Instruments

IC GATE OR 4CH 2-INP 14-SO

15345

LTC3440EDD

LTC3440EDD

LTC3440 - MICROPOWER SYNCHRONOUS

847

HCS410/P

HCS410/P

Roving Networks / Microchip Technology

IC CODE HOP ENCOD/TRNSPND 8DIP

0

DLP660TEFYG

DLP660TEFYG

Texas Instruments

DLP660TE DLP 0.66 4K UHD DMD

80

ATAES132A-MAHER-S

ATAES132A-MAHER-S

Roving Networks / Microchip Technology

IC EEPROM 32K I2C 1MHZ 8UDFN

3415

AD9963BCPZ

AD9963BCPZ

Analog Devices, Inc.

IC BROADBAND FRONT-END 72LFCSP

19

P2N2369ZL1

P2N2369ZL1

NPN 625MW 15V

3030

SP000685844

SP000685844

IR (Infineon Technologies)

IPP60R125C6XKSA1 - COOLMOS N-CHA

0

SN74ALS541-1NS

SN74ALS541-1NS

Texas Instruments

BUFF/DVR 3-ST OCT 20SO

10280

S9S12C32F1MFA2E557

S9S12C32F1MFA2E557

Freescale Semiconductor, Inc. (NXP Semiconductors)

MICROCONTROLLER, 16-BIT, HCS12 C

2500

74LVC1G11GW-Q100,125

74LVC1G11GW-Q100,125

NXP Semiconductors

NOW NEXPERIA 74LVC1G11GW - AND G

0

BZV55-C4V3_115115

BZV55-C4V3_115115

NOW NEXPERIA BZV55-C4V3 - ZENER

0

BZX585-C3V6135

BZX585-C3V6135

NXP Semiconductors

NOW NEXPERIA BZX585-C3V6 - ZENER

68540

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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