Specialized ICs

Image Part Number Description / PDF Quantity Rfq
SN74LVC32ADB

SN74LVC32ADB

Texas Instruments

GATE OR 4CH 2-INP 14-SSOP

42240

SN74AS280NS

SN74AS280NS

Texas Instruments

IC 9-BIT GEN/CHKER 14SO

7400

SN74ALS164ANS

SN74ALS164ANS

Texas Instruments

IC SHIFT REG 8BIT PARALL 14SO

8980

TCAN4550RGYRQ1

TCAN4550RGYRQ1

Texas Instruments

IC CAN CONTROLLER

0

SN74AS757NS

SN74AS757NS

Texas Instruments

IC BUFF/DVR DUAL NON-INV 20SO

0

SN74LS280NS

SN74LS280NS

Texas Instruments

9-BIT GEN/CHKER 14SO

12350

AM26C31CDB

AM26C31CDB

Texas Instruments

QUAD DIFF LINE DRVR 16-SSOP

1440

SN74AHC08NS

SN74AHC08NS

Texas Instruments

GATE AND 4CH 2-INP 14-SO

9150

TPS2214

TPS2214

Texas Instruments

TPS2214A 1A DUAL-SLOT PC CARD PO

960

SN74LVT162244ADGV

SN74LVT162244ADGV

Texas Instruments

IC BUFF/DVR TRI-ST 16BIT 48TVSOP

2000

SN74ABT374ANS

SN74ABT374ANS

Texas Instruments

BUS DRIVER, ABT SERIES, 1-FUNC,

3240

DLPC300ZVB

DLPC300ZVB

Texas Instruments

IC DIGITAL CONTROLLER 176NFBGA

832

SN74S10NS

SN74S10NS

Texas Instruments

IC GATE NAND 3CH 3-INP 14-SO

12300

SN74AS640NS

SN74AS640NS

Texas Instruments

IC BUS TRANSCEIVER 8BIT 20SO

1120

SN74LS221NS

SN74LS221NS

Texas Instruments

IC DUAL MONO MULTIVIBRATR 16SO

7650

SN74LS132NS

SN74LS132NS

Texas Instruments

IC GATE NAND 4CH 2-INP 14-SO

18900

SN74LS03NS

SN74LS03NS

Texas Instruments

GATE NAND 4CH 2-INP 14-SO

16550

SN74AHC374NS

SN74AHC374NS

Texas Instruments

D-TYPE POS TRG SNGL 20SO

20919

SM34020APCM40

SM34020APCM40

Texas Instruments

SM34020APCM40 SM34020APCM40

30

SN74AC373NS

SN74AC373NS

Texas Instruments

IC OCT D-TYP TRANSP LATCH 20SO

3200

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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