Specialized ICs

Image Part Number Description / PDF Quantity Rfq
BUK7Y113-100E115

BUK7Y113-100E115

NXP Semiconductors

NOW NEXPERIA BUK7Y113-100E - POW

0

UPD48288209AF1-E24-DW1-A

UPD48288209AF1-E24-DW1-A

Renesas Electronics America

DDR DRAM, 8MX36

1857

S9S12XS128J1MAA557

S9S12XS128J1MAA557

NXP Semiconductors

MICROCONTROLLER 16-BIT, HCS12 C

0

PDTC123YMB315

PDTC123YMB315

NXP Semiconductors

NOW NEXPERIA PDTC123YMB - SMALL

39796

NVT4556AUK012

NVT4556AUK012

NXP Semiconductors

SIM CARD INTERFACE LEVEL TRANSLA

9000

ATECC108A-SSHDA-T

ATECC108A-SSHDA-T

Roving Networks / Microchip Technology

IC AUTHENTICATION CHIP 8SOIC

792

PCA8565TS/1

PCA8565TS/1

NXP Semiconductors

IC RTC CLK/CALENDAR I2C 8-TSSOP

0

LTM2889HY-5#PBF

LTM2889HY-5#PBF

Analog Devices, Inc.

DGTL ISOL 2500VRMS 2CH CAN 32BGA

0

BZX84-A4V7/DG/B4215

BZX84-A4V7/DG/B4215

NXP Semiconductors

NOW NEXPERIA BZX84-A4V7 - ZENER

2900

SN74AS280NS

SN74AS280NS

Texas Instruments

IC 9-BIT GEN/CHKER 14SO

7400

MIC39300-2.5WUTR

MIC39300-2.5WUTR

3 AMP LOW-VOLTAGE LOW-DROPOUT RE

309

ATECC108A-MAHDA-T

ATECC108A-MAHDA-T

Roving Networks / Microchip Technology

IC AUTHENTICATION CHIP 8UDFN

0

BZX384-B3V3135

BZX384-B3V3135

NXP Semiconductors

NOW NEXPERIA BZX384-B3V3 - ZENER

60000

SMC91C100QFP

SMC91C100QFP

Fluke Electronics

SMC91C100QFP

675

MC44868MR2

MC44868MR2

MC44868MR2

0

PCA9507DP118

PCA9507DP118

2-WIRE SERIAL BUS EXTENDER FOR H

16157

P80C31SBAA

P80C31SBAA

Rochester Electronics

P80C31 - 80C51 8-BIT MICROCONTRO

7290

PCA8553DTT/A118

PCA8553DTT/A118

NXP Semiconductors

LIQUID CRYSTAL DRIVER

3655

MKS22FN256VLL12557

MKS22FN256VLL12557

NXP Semiconductors

KINETIS S 32-BIT MCU, ARM CORTEX

0

ATT2C123S304-DB

ATT2C123S304-DB

ATT2C123S304 DB FPGA

6

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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