Specialized ICs

Image Part Number Description / PDF Quantity Rfq
2S102A

2S102A

Texas Instruments

2S102A

0

DLP4500AFQE

DLP4500AFQE

Texas Instruments

IC DIG MICROMIRROR DEVICE 80LCCC

0

SN74BCT2827CNS

SN74BCT2827CNS

Texas Instruments

IC BUFF/DVR/MEMORY 10BIT 24SO

3060

SN74ALS645ANS

SN74ALS645ANS

Texas Instruments

IC BUS TRANSCEIVER DUAL 20SO

7412

SN74LS38NS

SN74LS38NS

Texas Instruments

IC GATE NAND 4CH 2-INP 14-SO

11600

UC1901L883B

UC1901L883B

Texas Instruments

ISOLATED FEEDBACK GENERATOR, CER

89

SN74AS638ANS

SN74AS638ANS

Texas Instruments

BUS TRANSCEIVER, AS SERIES, 1-FU

40

SN75LBC777CW

SN75LBC777CW

Texas Instruments

LINE TRANSCEIVER, 2 FUNC, 1 DRIV

1024

SN74LS31NS

SN74LS31NS

Texas Instruments

IC HEX DELAY ELEMENT 16SO

3900

SN74F20NSLE

SN74F20NSLE

Texas Instruments

NAND GATE, F/FAST SERIES, 2-FUNC

1000

SN74LS591D

SN74LS591D

Texas Instruments

BINARY COUNTER, LS SERIES, ASYNC

1896

SN74LS279ANS

SN74LS279ANS

Texas Instruments

IC QUAD S-R LATCHES 16SO

18950

SN74LVTH574NS

SN74LVTH574NS

Texas Instruments

IC D-TYPE POS TRG SNGL 20SO

22080

SN74ALS1004NS

SN74ALS1004NS

Texas Instruments

INVERTER HEX 1-INPUT 14SO

0

SN74AS153NS

SN74AS153NS

Texas Instruments

IC DATA SELECTOR/MUX 1OF4 16SO

5600

SN74LS390NS

SN74LS390NS

Texas Instruments

BIN COUNTR DUAL 4BIT 16SO

1850

TCAN4550RGYT

TCAN4550RGYT

Texas Instruments

CAN FD CONTROLLER WITH INTEGRATE

461

LM8342SDX/NOPB

LM8342SDX/NOPB

Texas Instruments

IC TFT VCOM CALIBRATOR 10WSON

0

SN74LVTH241NS

SN74LVTH241NS

Texas Instruments

IC BUFF/DVR TRI-ST DUAL 20SO

10960

SN74LVC3G04DCT3

SN74LVC3G04DCT3

Texas Instruments

TRIPLE INVERTER GATE

21000

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
RFQ BOM Call Skype Email
Top