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BOS Semiconductor's Eagle-N Pairs Tenstorrent NPU with Samsung 5nm for Automotive AI

BOS Semiconductor, a South Korean venture founded in May 2022 by former Samsung EVP Jaehong Park, has built Eagle-N, an automotive AI chip on Samsung's SF5 process with 250 TOPS of dense compute.

Reporting from 1 source: ASCII.jp.

Why it matters

BOS is staking its automotive SoC on another company's NPU IP rather than building its own, so Eagle-N's case for carmakers rests on how well the Tenstorrent Tensix block integrates with the Samsung 5nm host.

BOS Semiconductor's Eagle-N Pairs Tenstorrent NPU with Samsung 5nm for Automotive AI

Key Facts

  • BOS Semiconductor was founded in May 2022 by Jaehong Park, who spent 22 and a half years at Samsung Electronics and was EVP of its automotive and custom SoC businesses.
  • Eagle-N is manufactured on Samsung's SF5 process and delivers 250 TOPS of dense compute.
  • BOS Semiconductor announced a partnership with Tenstorrent for automotive chip development in October 2023.
  • Eagle-N's NPU uses 12 Tenstorrent Tensix Neo cores and a quad Cortex-A53 host, with a Cortex-M7 security island.
  • Eagle-N was demonstrated at CES 2025.

Its NPU uses Tenstorrent's Tensix Neo cores, under a partnership the two companies announced in October 2023. The SoC pairs a quad Cortex-A53 host with a Cortex-M7 security island and 12 LPDDR5x channels.

The chip's security block is a Cortex-M7 paired with what the die slide labels RT-640, which reads as Rambus's RS-640 hardware security module. Across the interconnect, Eagle-N offers general-purpose I/O alongside UCIe x32 and PCIe Gen5 x8. Memory is 12 LPDDR5x channels at 16 bits each, a 192-bit total width running at 8533 MHz, which works out to roughly 204 GB/s.

The NPU side carries 12 Tensix Neo cores with a dispatch engine and additional logic that the slide calls Trinity. Four NoC2AXI units are arranged to reach 256 bytes per cycle of I/O, since each unit handles 64 bytes per cycle. BOS demonstrated Eagle-N at CES 2025.

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Eagle-N BOS Semiconductor Tenstorrent

Sources