Specialized ICs

Image Part Number Description / PDF Quantity Rfq
ATECC508A-RBHCZ-T

ATECC508A-RBHCZ-T

Roving Networks / Microchip Technology

IC AUTHENTICATION CHIP 3SMD

2581

TEA1993TS/1125

TEA1993TS/1125

NXP Semiconductors

GREENCHIP SYNCHRONOUS RECTIFIER

0

R5610L101AQ-TR

R5610L101AQ-TR

MULTI POWER SUPPLY IC

1175000

74AXP1T125GS125

74AXP1T125GS125

NXP Semiconductors

NOW NEXPERIA 74AXP1T125GS - BUS

0

CY7C9235A-270JXC

CY7C9235A-270JXC

IR (Infineon Technologies)

IC SMPTE ENCODER 44-PLCC

541

SN74BCT240NS

SN74BCT240NS

Texas Instruments

IC INVERTER DUAL 4-INPUT 20SO

1880

SN74AS253ANSR

SN74AS253ANSR

Texas Instruments

MULTIPLEXER BIPOLAR 3-ST 8-IN 16

4000

BBY5305WH6327XTSA1554

BBY5305WH6327XTSA1554

IR (Infineon Technologies)

BBY53 - VARACTOR DIODE

3000

SN74LVTH374NS

SN74LVTH374NS

Texas Instruments

D-TYPE POS TRG SNGL 20SO

18320

RF600D

RF600D

RF Solutions

IC DECODER 18DIP

0

RF803D

RF803D

RF Solutions

IC DECODER 8DIP

0

LS19-S

LS19-S

LogiSwitch

DEBOUNCE IC 6-CHAN SOIC

100

FM31256-G

FM31256-G

IR (Infineon Technologies)

256-KBIT INTEGRATED PROCESSOR CO

948

SN74LVCZ245ANS

SN74LVCZ245ANS

Texas Instruments

BUS TRANSCEIVER 8BIT 20SO

27400

PMEG3020EGW115

PMEG3020EGW115

Nexperia

NOW NEXPERIA PMEG3020EGW RECTIFI

30000

MC9S08JS16LCFK557

MC9S08JS16LCFK557

NXP Semiconductors

MICROCONTROLLER, 8-BIT, HC08/S08

0

NXS7002AKR

NXS7002AKR

Nexperia

NXS7002AK - 60V SINGLE N-CHANNEL

0

74AHC1G125GW

74AHC1G125GW

NXP Semiconductors

NOW NEXPERIA 74AHC1G125GW - BUS

0

BZX585-B7V5135

BZX585-B7V5135

NXP Semiconductors

NOW NEXPERIA BZX585-B7V5 ZENER D

95225

PHPT61002NYC,115

PHPT61002NYC,115

Nexperia

POWER BIPOLAR TRANSISTOR

3000

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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