Sept. 05, 2025 –
BrainChip has launched Developer Akida Cloud, a cloud-based access point to the company's neuromorphic technology, designed to reduce the time and effort required to use its Akida Cloud platform.
To accelerate product development and deliver reliable applications, developers can leverage this platform to program and run their network models. Meanwhile, Akida's second-generation technology, in its latest version (Akida 2), will be included in the Developer Cloud presentation.
Developers can benefit from Akida Cloud, accessing numerous configurations and generations of BrainChip's Akida neuromorphic technology from the cloud. According to the company, Akida products are quickly and easily delivered to developers on a roadmap, giving them the possibility of having the latest Akida technology to deliver reliable developments.
Akida Cloud helps developers achieve product design in less time by making it easier to program and run their network models. These tools enable the deployment of advanced AI applications across multiple industries, with a simplified development process and reduced model size.
The premise of this cloud platform is rapid application development. Immediate results are achieved through direct access to Akida's latest technology, making it easy to program and run neural networks and develop an idea from concept to product.
Akida Cloud Features
Akida Cloud enables real-time data submission so developers can perform inferences. This platform accelerates innovation through its practical testing capabilities. Users gain access to Akida's latest capabilities, allowing them to advance the development of their neuromorphic models by remotely testing innovations.
BrainChip deploys new versions and configurations of Akida via the cloud, so developers can stay up-to-date with the latest resources. Akida2 now holds up 8-bit quantization, allowing developers to create more sophisticated models with greater accuracy.
If you want to process temporal video, audio, and sensor data, Akida 2-compatible models improve performance by incorporating event-based temporal neural networks (TENNs). These networks are suitable for real-time streaming applications based on events occurring in state-space models (SSM).
The data is sent by the developer to Akida Cloud in real time, allowing them to perform inferences on their computer. The cloud platform sends the results back, facilitating iteration and rapid training, resulting in a more accurate model in real-world conditions. This allows applications to be developed through a systematic process of data acquisition, processing, and visualization.