BrainChip has integrated its Akida⢠AKD1500 with Andes Technology's RISC-V cores for enhanced edge AI computing. The integration aims to optimize ener
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BrainChip Extends RISC-V Reach with Andes Technology Integration | BRCHF Stock News
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15 hours ago
- BrainChip has integrated its Akida™ AKD1500 with Andes Technology's RISC-V cores for enhanced edge AI computing.
- The integration aims to optimize energy-efficient AI solutions for applications in automotive electronics, security, and more.
- BrainChip’s technology will be demonstrated at Andes RISC-V Con 2025 in San Jose and Hsinchu.
BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a pioneer in ultra-low power AI technology, has announced the integration of its neural processing unit (NPU), Akida™ AKD1500, with RISC-V cores from Andes Technology. This collaboration aims to enhance edge AI computing by leveraging Andes' high-performance QiLai System-on-Chip (SoC) platform.
The integrated solution is set to be demonstrated at the upcoming Andes RISC-V Con 2025, scheduled for April 29 in San Jose, California, and June 10 in Hsinchu, Taiwan. The demonstrations will showcase the capabilities of Akida’s energy-efficient, event-based AI computation, which significantly reduces power consumption compared to conventional AI processors while delivering over 0.7 TOPS under 250mW.
The AKD1500’s integration with Andes Technology's QiLai SoC, powered by a quad-core RISC-V AX45MP processor, provides a highly efficient platform for developing RISC-V-based AI solutions. The processor, built on TSMC's 7nm process technology, achieves clock speeds of up to 2.2 GHz, outperforming the Cortex-A55 with its multi-core Linux capabilities.
This collaboration targets diverse markets including AI, automotive electronics, and security, providing a path for developing AI applications that are optimized for edge computing. By enabling developers to harness RISC-V's open architecture, BrainChip and Andes are facilitating innovations in creating advanced, low-power AI solutions ideal for battery-operated and fan-less embedded devices.