Specialized ICs

Image Part Number Description / PDF Quantity Rfq
S1ZMMBZ5244BLT1

S1ZMMBZ5244BLT1

S1ZMMBZ5244BLT1

18000

SN74AS253ANS

SN74AS253ANS

Texas Instruments

MULTIPLEXER BIPOLAR 3-ST 8-IN 16

0

MCS3122T-I/ST

MCS3122T-I/ST

Roving Networks / Microchip Technology

IC ENCODER 14TSSOP

0

AT89S54-SLSUM

AT89S54-SLSUM

Atmel (Microchip Technology)

AT89S54 - MICROCONTROLLER, 8-BIT

83

MAX6421XS44

MAX6421XS44

Analog Devices, Inc.

MAX6421 LOW-POWER, SOT MICROPROC

41

MAX6334UR20D3

MAX6334UR20D3

Analog Devices, Inc.

MAX6334 3-PIN, ULTRA-LOW-VOLTAGE

0

MAX6456UT46S

MAX6456UT46S

Analog Devices, Inc.

MAX6456 MICRO PROCESSOR SUPERVIS

0

SN104107P

SN104107P

Texas Instruments

SN104107P

0

BZT52-C22,118

BZT52-C22,118

Nexperia

BZT52-C22 - ZENER DIODE IN A SOD

0

BGA6130118

BGA6130118

NXP Semiconductors

IC AMP ISM 400MHZ-2.7GHZ 8HVSON

106

SN75372PS

SN75372PS

Texas Instruments

IC MOSFET DRIVER DUAL 8SO

9693

74ALVCH16374DGG112

74ALVCH16374DGG112

NXP Semiconductors

NOW NEXPERIA 74ALVCH16374DGG - B

5898

SN74LVCC4245ANS

SN74LVCC4245ANS

Texas Instruments

IC BUS TRANSCEIVER 8BIT 24SO

14892

ATECC508A-SSHDA-B

ATECC508A-SSHDA-B

Roving Networks / Microchip Technology

IC AUTHENTICATION CHIP 8SOIC

7493

AD9867BCPZRL

AD9867BCPZRL

Analog Devices, Inc.

MODEM

19000

IKW40N65H5

IKW40N65H5

IR (Infineon Technologies)

IKW40N65 - DISCRETE IGBT WITH AN

0

QS32X245Q1

QS32X245Q1

QS32X245Q1

0

MAX4507CPN

MAX4507CPN

Analog Devices, Inc.

SIGNAL-LINE PROTECTOR

0

BCR133TE6327

BCR133TE6327

IR (Infineon Technologies)

BIPOLAR DIGITAL TRANSISTOR

0

BUJ105AB118

BUJ105AB118

NXP Semiconductors

NOW WEEN - BUJ105AB - POWER BIPO

5600

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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