Embedded - System On Chip (SoC)

Image Part Number Description / PDF Quantity Rfq
XCZU7EG-2FBVB900I

XCZU7EG-2FBVB900I

Xilinx

IC SOC CORTEX-A53 900FCBGA

0

1SX280HH3F55I3VG

1SX280HH3F55I3VG

Intel

IC FPGA STRATIX 10 2912FBGA

0

XCZU15EG-L2FFVC900E

XCZU15EG-L2FFVC900E

Xilinx

IC SOC CORTEX-A53 900FCBGA

0

5CSEBA4U19I7N

5CSEBA4U19I7N

Intel

IC SOC CORTEX-A9 800MHZ 484UBGA

0

M2S025TS-1VF400I

M2S025TS-1VF400I

Roving Networks / Microchip Technology

IC SOC CORTEX-M3 166MHZ 400VFBGA

0

M2S050-VFG400I

M2S050-VFG400I

Roving Networks / Microchip Technology

IC SOC CORTEX-M3 166MHZ 400VFBGA

0

10AS032E2F29E1HG

10AS032E2F29E1HG

Intel

IC SOC CORTEX-A9 1.5GHZ 780FBGA

0

10AS032H3F35E2LG

10AS032H3F35E2LG

Intel

IC SOC CORTEX-A9 1.5GHZ 1152FBGA

0

XCZU3EG-L1SFVA625I

XCZU3EG-L1SFVA625I

Xilinx

IC SOC CORTEX-A53 625FCBGA

0

1SX250LH3F55I2LG

1SX250LH3F55I2LG

Intel

IC SOC CORTEX-A53 1.5GHZ 2912BGA

0

10AS032H2F35E2LG

10AS032H2F35E2LG

Intel

IC SOC CORTEX-A9 1.5GHZ 1152FBGA

0

10AS032H3F34I2SG

10AS032H3F34I2SG

Intel

IC SOC CORTEX-A9 1.5GHZ 1152FBGA

0

10AS057K4F40I3LG

10AS057K4F40I3LG

Intel

IC SOC CORTEX-A9 1.5GHZ 1517FBGA

0

M2S005-VF400

M2S005-VF400

Roving Networks / Microchip Technology

IC SOC CORTEX-M3 166MHZ 400VFBGA

0

M2S090T-1FGG676

M2S090T-1FGG676

Roving Networks / Microchip Technology

IC SOC CORTEX-M3 166MHZ 676FBGA

0

10AS066K2F40E1HG

10AS066K2F40E1HG

Intel

IC SOC CORTEX-A9 1.5GHZ 1517FBGA

0

M2S150-1FCS536

M2S150-1FCS536

Roving Networks / Microchip Technology

IC SOC CORTEX-M3 166MHZ 536BGA

0

M2S025-FG484I

M2S025-FG484I

Roving Networks / Microchip Technology

IC SOC CORTEX-M3 166MHZ 484FBGA

0

XC7Z014S-1CLG400I

XC7Z014S-1CLG400I

Xilinx

IC SOC CORTEX-A9 667MHZ 400BGA

136

A2F500M3G-1FGG484I

A2F500M3G-1FGG484I

Roving Networks / Microchip Technology

IC SOC CORTEX-M3 100MHZ 484FBGA

0

Embedded - System On Chip (SoC)

1. Overview

System on Chip (SoC) is a highly integrated semiconductor device that combines multiple electronic system components into a single chip. It typically integrates processors (CPU/GPU/DSP), memory, input/output interfaces, and specialized accelerators. SoCs serve as the core processing units for embedded systems, enabling compact, power-efficient, and cost-effective solutions. Their importance spans modern technology domains including mobile computing, IoT, automotive electronics, and AI edge computing.

2. Main Types and Functional Classification

TypeFunctional FeaturesApplication Examples
Application ProcessorsHigh-performance multi-core CPUs, integrated GPUs, multimedia codecsSmartphones, tablets, smart TVs
Microcontroller SoCsSingle-chip computers with flash memory, ADC/DAC, communication interfacesIndustrial control, sensor nodes, home appliances
FPGA-based SoCsProgrammable logic fabric with hard processor cores5G base stations, autonomous driving systems
AI Accelerator SoCsDedicated NPU units for machine learning inferenceSmart cameras, robotics, edge AI devices

3. Structure and Components

Typical SoC architecture includes:

  • Processing cores (ARM Cortex-A series, RISC-V, etc.)
  • Memory subsystems (cache, on-chip SRAM, external DRAM controllers)
  • Communication interfaces (USB, PCIe, Ethernet, wireless modules)
  • Specialized accelerators (GPU, DSP, VPU, cryptographic engines)
  • System bus matrix for component interconnection
  • Power management units for dynamic voltage/frequency scaling

4. Key Technical Specifications

ParameterDescriptionImportance
Process NodeManufacturing process (e.g., 5nm, 7nm)Impacts power efficiency and performance density
CPU ArchitectureCore count and ISA (ARM/x86/RISC-V)Determines computational capability and software compatibility
Thermal Design Power (TDP)Maximum heat dissipation ratingDictates cooling requirements and battery life
Memory BandwidthData transfer rate between cores and memoryCritical for performance-critical applications
Interface SpeedPCIe 5.0, USB4, etc.Determines peripheral connectivity capability

5. Application Fields

Key application domains include:

  • Consumer Electronics: Smartphones (Apple A15 Bionic), AR/VR headsets
  • Automotive: ADAS systems (NVIDIA DRIVE SoC), vehicle infotainment
  • Industrial: Smart manufacturing sensors, robotic controllers
  • Healthcare: Wearable ECG monitors, portable ultrasound devices
  • Networking: 5G base stations (Qualcomm FSM1000), network switches

6. Leading Manufacturers and Products

ManufacturerRepresentative ProductsKey Features
Qualcomm 8 Gen 2Adreno 750 GPU, Hexagon AI accelerator
AppleM2 SoC12-core CPU, 19-core GPU, unified memory architecture
XilinxZynq UltraScale+ MPSoCQuad-core ARM Cortex-A53 with FPGA fabric
MediaTekDimensity 920012nm process, integrated 5G modem
NVIDIAJets 32NX2384-core Volta GPU for edge AI computing

7. Selection Guidelines

Key selection criteria:

  1. Performance requirements vs. power budget
  2. Required peripheral interfaces and I/O capabilities
  3. Software ecosystem maturity (OS support, development tools)
  4. Long-term supply stability for industrial applications
  5. Security features (hardware encryption, trusted execution)
  6. Cost-effectiveness for target application volume

8. Industry Trends Analysis

Key development trends:

  • Transition to sub-5nm process nodes for improved energy efficiency
  • Increasing integration of AI/ML accelerators in mainstream SoCs
  • Adoption of heterogeneous computing architectures (CPU+GPU+DSA)
  • Advancements in chiplet-based SoC design for modular scalability
  • Enhanced functional safety features for automotive and industrial applications
  • Growing emphasis on hardware-based security mechanisms
The global SoC market is projected to reach $150 billion by 2027, driven by demand in IoT edge devices and automotive electrification.

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