TDA54-Q1 - Premium ADAS SoC with C7 NPU | Texas Instruments
MPN: TDA54-Q1 ✓ Active| Qty | Unit Price | Extended |
|---|---|---|
| 1 | $150 | $150.00 |
| 10 | $135 | $1,350.00 |
| 100 | $120 | $12,000.00 |
| 500 | $105 | $52,500.00 |
| 1,000 | $90 | $90,000.00 |
Drop-in alternatives for TDA54-Q1 — same package, pin-to-pin compatible. Different-package parts requiring PCB rework are excluded.
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Request AlternativesTDA54-Q1 Maximum Ratings & Electrical Characteristics
| Product Type | Automotive SoC |
| NPU | C7™ Neural Processing Unit |
| Series | TDA5x Jacinto™ |
| Core Architecture | [DATA_NEEDED: CPU core configuration] |
| Process Technology | [DATA_NEEDED: process node] |
| Operating Temperature Range | [DATA_NEEDED: temperature range] |
| Package Type | [DATA_NEEDED: package type] |
| Supply Voltage | [DATA_NEEDED: supply voltage] |
| AI Performance | [DATA_NEEDED: TOPS] |
| Memory Interface | [DATA_NEEDED: memory type and speed] |
| Networking Interfaces | [DATA_NEEDED: Ethernet, PCIe, etc.] |
| Vision Processing | Dedicated hardware accelerators |
| Safety Features | [DATA_NEEDED: ASIL level] |
| Security Features | Dedicated security subsystem |
| AEC-Q100 Qualification | Yes (automotive grade) |
TDA54-Q1 [data_needed: package type] Pin Configuration Guide
Complete pinout information for TDA54-Q1 ([data_needed: package type] package). This digital IC includes GPIO, communication interfaces (UART, SPI, I2C), and power pins. Refer to the manufacturer datasheet for alternate pin functions and configuration options. Essential for embedded system design and PCB layout.
![[data_needed: package type] package pinout diagram for TDA54-Q1](/assets/package-diagrams/default.svg?v=1787750169)
No detailed pinout data available for TDA54-Q1.
Refer to the datasheet for full pin configuration.
Safe Operating Area (SOA) & Thermal Characteristics
No official SOA curve available for this digital IC. Always operate within absolute maximum ratings specified in the datasheet. Ensure adequate cooling and derate as needed.
Typical Applications
TDA54-Q1 is suitable for 6 applications: Autonomous Driving (Level 3+), ADAS Features, In-Cabin Monitoring, Domain Controllers, Software-Defined Vehicles, Advanced AI Edge Computing.
Autonomous Driving (Level 3+)
The TDA54-Q1's C7 NPU delivers high-performance AI inference for real-time object detection, sensor fusion, and path planning. Its multiple CPU cores and hardware accelerators handle complex algorithms, while the automotive-grade design ensures reliability in safety-critical environments. The SoC's high-bandwidth memory and networking interfaces support data from cameras, radar, and LiDAR, enabling Level 3+ autonomous driving.
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ADAS Features
The TDA54-Q1 supports advanced driver assistance features like automatic emergency braking, adaptive cruise control, and lane keeping. Its vision processing accelerators handle camera inputs, while the NPU runs neural networks for object classification. The SoC's real-time performance and safety features make it ideal for ADAS ECUs, providing the compute headroom needed for future software updates.
Recommended
In-Cabin Monitoring
The TDA54-Q1's NPU can run driver monitoring algorithms to detect drowsiness or distraction. Its vision processing capabilities handle infrared camera inputs, while the security subsystem ensures data privacy. The SoC's low-latency processing enables real-time alerts, and its scalability allows for additional features like occupant detection and gesture recognition.
Recommended
Domain Controllers
The TDA54-Q1 serves as a central domain controller, aggregating data from multiple sensors and running fusion algorithms. Its high-performance CPU and NPU handle complex workloads, while the networking interfaces (Ethernet, PCIe) enable communication with other ECUs. The SoC's virtualization support allows multiple functions to run on a single chip, reducing system cost and complexity.
Recommended
Software-Defined Vehicles
The TDA54-Q1 is designed for software-defined vehicles, where features are updated over-the-air. Its scalable architecture and software reuse from TDA4x enable rapid development. The SoC's high compute headroom supports future AI models, while its security features protect against cyber threats. This makes it ideal for OEMs looking to monetize software services.
Recommended
Advanced AI Edge Computing
The TDA54-Q1's C7 NPU provides high-performance AI inference at the edge, enabling real-time processing without cloud dependency. This is crucial for applications like traffic sign recognition and pedestrian detection. The SoC's low power consumption and automotive-grade reliability make it suitable for edge AI in vehicles, where latency and safety are paramount.
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Recommended Products Summary
Engineering reference data for TDA54-Q1 — comparison, design guidance, and compliance information.
Selection Guide
Comparison with Alternatives
| Parameter | This Product | TDA4VH-Q1 | TDA4VM-Q1 | NVIDIA Orin |
|---|---|---|---|---|
| Package | [DATA_NEEDED: package] | [DATA_NEEDED: package] | [DATA_NEEDED: package] | [DATA_NEEDED: package] |
| Brand | Texas Instruments | Texas Instruments | Texas Instruments | NVIDIA |
| NPU | C7™ NPU | C7x NPU (previous gen) | C7x NPU (previous gen) | Ampere GPU |
| AI Performance | [DATA_NEEDED: TOPS] | [DATA_NEEDED: TOPS] | [DATA_NEEDED: TOPS] | 275 TOPS |
| CPU Cores | [DATA_NEEDED: CPU cores] | 8x Arm Cortex-A72 | 2x Arm Cortex-A72 | 12x Arm Cortex-A78AE |
| Automotive Grade | Yes (AEC-Q100) | Yes (AEC-Q100) | Yes (AEC-Q100) | Yes (AEC-Q100) |
| Software Reuse from TDA4x | Yes | N/A (same series) | N/A (same series) | No |
| Pin Compatibility | N/A | No | No | No |
Key Differentiators
- Next-generation C7 NPU (vs TDA4VH-Q1)
- Software reuse from TDA4x (vs NVIDIA Orin)
- Automotive-grade reliability (vs NVIDIA Orin)
Design Notes
The TDA54-Q1 requires multiple power rails with precise sequencing. Use a dedicated automotive PMIC like the TPS6594-Q1 to manage power-up and power-down sequences. Ensure adequate decoupling capacitors on all power pins to minimize noise and voltage transients.
The TDA54-Q1 dissipates significant power under heavy AI workloads. Use a thermal solution such as a heatsink or active cooling to keep the junction temperature within limits. The exact thermal resistance is [DATA_NEEDED], so refer to the datasheet for thermal design guidelines.
Design the PCB with controlled impedance traces for high-speed interfaces like DDR and Ethernet. Follow TI's layout guidelines for the specific package to ensure signal integrity. Use ground planes and via stitching to minimize EMI.
Compliance Information
Automotive-grade SoC, AEC-Q100 qualified per TI product page. RoHS and REACH compliance assumed based on TI's standard compliance.
