Specialized ICs

Image Part Number Description / PDF Quantity Rfq
SN74ALS169BNS

SN74ALS169BNS

Texas Instruments

IC SYNC 4BIT BINARY COUNTR 16SO

427

5962-9060404CA

5962-9060404CA

Texas Instruments

OPERATIONAL AMPLIFIER, 4 FUNC, 3

18

PCI4510AGHK

PCI4510AGHK

Texas Instruments

PCMCIA BUS CONTROLLER

2340

SN74S05NS

SN74S05NS

Texas Instruments

IC HEX INVERT W/OC OUT 14SO

11798

SN74LS51NS

SN74LS51NS

Texas Instruments

AND-OR-INVERT GATE 14SO

10800

SN74ABT244ANS

SN74ABT244ANS

Texas Instruments

BUS DRIVER, ABT SERIES, 2-FUNC,

176

5962-9326501M2A

5962-9326501M2A

Texas Instruments

PRECISION LOW DROPOUT LINEAR CON

3

SN74AS244ADB

SN74AS244ADB

Texas Instruments

BUFFER/LINE DRIVER 8-CH NON-INVE

9396

TCAN4550RGYR

TCAN4550RGYR

Texas Instruments

IC CAN CONTROLLER

0

DLPA100PT

DLPA100PT

Texas Instruments

IC DLP PMIC LED DRIVER 48LQFP

0

SN74SSTVF16859DGG

SN74SSTVF16859DGG

Texas Instruments

REGISTERED BUFFER SINGLE 13-CH C

2175

PT502A

PT502A

Texas Instruments

PT502A

0

SN74AS10DBR

SN74AS10DBR

Texas Instruments

NAND GATE 3-ELEMENT 3-IN BIPOLAR

24000

UC1836J

UC1836J

Texas Instruments

HIGH EFFICIENCY REGULATOR CONTRO

20

SN74LS19ADB

SN74LS19ADB

Texas Instruments

INVERTER SCHMITT TRIGGER 6-ELEME

8775

SN74LS597NS

SN74LS597NS

Texas Instruments

IC SERIAL-OUT SHIFT-REG 16SO

1102

SN74LS365ANS

SN74LS365ANS

Texas Instruments

BUFF/DVR TRI-ST 6BIT 16SO

0

SN74ALS541DB

SN74ALS541DB

Texas Instruments

BUFF/DVR 3-ST OCT 20SSOP

280

SN74ALS574BNS

SN74ALS574BNS

Texas Instruments

IC D-TYPE POS TRG SNGL 20SO

1600

SN74S260NS

SN74S260NS

Texas Instruments

NOR GATE 2-ELEMENT 5-IN BIPOLAR

11700

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