We significantly enhance processor efficiency by 'neuromorphic architecture', reducing data movement from the place where data is stored, effectively mimicking the brain architecture.
Pre-trained AI models are stored and executed directly on your device, enabling seamless and efficient computation without relying on external data transfer.
The team boasts diverse experience in memory, processor, and consumer and enterprise data center product, providing a complete hardware/software solutions to run your AI model from your devices.
.png)
ANAFLASH secured funding led by Stonebridge Ventures to commercialize its energy-efficient non-volatile AI microcontroller for battery-powered smart edge devices.
DRIMAES and ANAFLASH have partnered to develop an AI-powered infotainment platform for next-gen mobility solutions, combining mobility and AI technology
ADTechnology announced a collaboration with the US semiconductor IP company ANAFLASH at the Embedded Vision Summit in California, USA.
