● Covered by 1 source · 1 reportMedium impact
Tesla's AI5 Chip Tapes Out at Samsung for Production Using 2nm-class Technology
Key points
- AI5 chip enters production at Samsung Foundry
- Uses 2nm-class process technology
- Expected to deliver 40X performance improvement over predecessor
Production Update on AI5 Chip
Tesla's AI5 chip has officially reached the tape-out stage at Samsung Foundry, as confirmed by a principal engineer at Samsung. This chip will be manufactured at the Taylor facility using 2nm process technology, with production scheduled to begin shortly.
Collaboration with Samsung Foundry
James Kim from Samsung Foundry noted the collaboration with Tesla's engineering teams based in Palo Alto and Austin, emphasizing the joint effort in the development of the AI5 chip. The partnership aims to optimize the chip for Tesla's diverse needs, including vehicles and robots.
Specifications and Expected Impact
While Tesla hasn't released specific performance metrics, Elon Musk previously mentioned that AI5 could achieve up to 40 times the compute performance compared to its predecessor under certain workloads. The integration of twelve memory packages suggests a significant external memory bandwidth, potentially reaching between 768 GB/s and 1.536 TB/s.
Dual Foundry Strategy
Tesla's strategy to utilize both Samsung and TSMC for the AI5 chip's production aims to ensure high volume and reliability. This approach is particularly critical as Tesla anticipates that AI5 will be one of the most produced chips in the market, reinforcing their plans for expansion in automotive and robotic applications.
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
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Reporting from
Tesla's AI5 chip has been taped out at Samsung Foundry, set for mass production using 2nm-class technology. This development follows an earlier tape out at TSMC, and AI5 is expected to be integrated into Tesla's products, enhancing performance significantly over its predecessor.