Autos & EVs • • 3 min read

Tesla Full Self-Driving Hardware 5 (HW5) Deep Dive: 3nm Dual Silicon Accelerators

Technical architecture breakdown of Tesla's next-generation HW5 autonomous vehicle computer, featuring dual 3nm NPU chips capable of 2,000 TOPS at 180W power consumption.

Claire Donovan
Claire Donovan
Senior Mobile & SaaS Applications Editor
Tesla Full Self-Driving Hardware 5 (HW5) Deep Dive: 3nm Dual Silicon Accelerators
Tesla Full Self-Driving Hardware 5 (HW5) Deep Dive: 3nm Dual Silicon Accelerators — Editorial Visual / Silicon Dispatch US
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Technical architecture breakdown of Tesla's next-generation HW5 autonomous vehicle computer, featuring dual 3nm NPU chips capable of 2,000 TOPS at 180W power consumption.

Semiconductor Analysis: Tesla’s HW5 computing cluster transitions to TSMC’s 3nm automotive node, delivering a 5x compute density improvement over HW4 to execute multi-billion parameter end-to-end vision neural networks in real time.

Redundant Optical Sensor Pipelines

HW5 processes 10 uncompressed 8-megapixel HDR camera feeds with dedicated hardware ISP engines that maintain zero latency under extreme low-light and direct-sun blinding conditions.

Liquid Cooling & Thermal Envelope

The module integrates directly into the vehicle’s secondary cabin coolant loop, dissipating up to 250W under peak synthetic vision inference workloads while maintaining ASIL-D functional safety certification.

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