Specialized ICs

Image Part Number Description / PDF Quantity Rfq
HEF4794BT112

HEF4794BT112

Nexperia

NOW NEXPERIA HEF4794BT - LED DRI

0

SN74AHCT132DB

SN74AHCT132DB

Texas Instruments

NAND GATE, AHCT/VHCT/VT SERIES,

0

MC9S08DN60ACLF557

MC9S08DN60ACLF557

NXP Semiconductors

MICROCONTROLLER, 8-BIT, HC08/S08

0

MAX923MSA/PR-T

MAX923MSA/PR-T

Analog Devices, Inc.

ULTRA LOW-POWER, SINGLE/DUAL-SUP

820

MIC280-7YM6

MIC280-7YM6

PRECISION THERMAL SUPERVISOR

2376

74LVC3G34GS115

74LVC3G34GS115

NXP Semiconductors

NOW NEXPERIA 74LVC3G34 - TRIPLE

185000

IRFS610BFP001

IRFS610BFP001

POWER FIELD-EFFECT TRANSISTOR, N

0

FM31278-GTR

FM31278-GTR

Cypress Semiconductor

IC PROCESSOR COMPANION 14SOIC

0

LM98510CCMTX/NOPB

LM98510CCMTX/NOPB

TI-SPECIAL, CONTACT FOR DETAILS

0

AD9267BCPZ

AD9267BCPZ

Analog Devices, Inc.

IC SIGMA-DELTA MODULATOR 64LFCSP

0

SN74ALS175NS

SN74ALS175NS

Texas Instruments

IC D-TYPE POS TRG SNGL 16SO

22900

BZX585-B11135

BZX585-B11135

NXP Semiconductors

NEXPERIA BZX585-B11 - ZENER DIOD

0

CAP200DG-TL

CAP200DG-TL

Power Integrations

IC AUTOMATIC DISCHARGE 8SO

0

ATECC608A-SSHCZ-B

ATECC608A-SSHCZ-B

Roving Networks / Microchip Technology

IC AUTHENTICATION CHIP 8SOIC

959

S912XHY256F0CLM557

S912XHY256F0CLM557

NXP Semiconductors

16-BIT MCU, S12 CORE, 256KB FLAS

0

S912ZVHY32F1CLL557

S912ZVHY32F1CLL557

NXP Semiconductors

MAGNIV 16-BIT MCU, S12Z CORE, 32

0

DRV50530AELPGQ1

DRV50530AELPGQ1

Texas Instruments

DRV50530AELPGQ1

290

TC33166ERT

TC33166ERT

Roving Networks / Microchip Technology

SWITCHING REGULATOR/CONTROLLER

460

BAV70S135

BAV70S135

NXP Semiconductors

NEXPERIA BAV70 - HIGH-SPEED SWI

20000

HCS320-I/SN

HCS320-I/SN

Roving Networks / Microchip Technology

IC CODE HOPPING ENCODER 8SOIC

0

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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