Steve10
Regular
I have been looking at Edge Impulse blogs and noting there are 60,000+ developers running 130,000+ projects the following seems even to this old technophobe significant:
“Deployment Options
Any model that has been developed in the impulse design on Edge Impulse Studio can be deployed to BrainChip Akida target devices. In order to download these models for custom deployments, developers must choose the BrainChip MetaTFTMmodel block (refer Figure 5a) under the deployment stage to obtain a .zip file with the converted model in it. Alternatively, there is also a BrainChip Akida PCIe deployment block (refer Figure 5b) available which will generate a pre-built binary that can be used with Edge Impulse Linux CLI to run on any compatible Linux installation where this board is installed.
The pre-built binary that is provided from the deployment block also has in-built tools that provide performance metrics for the AKD1000 mini PCI reference board (refer Figure 7). This is a very unique integration as developers can not only deploy their favorite projects to BrainChip Akida devices but can also capture information such as efficiency that help build a prototype system with Akida technology”
[IMG alt="Graphical user interface, application, Teams
Description automatically generated"]https://lh3.googleusercontent.com/s...PAD9OP50EUJK1iUijH5qgjrsAroN_zwpRuo_krg[/IMG][IMG alt="Graphical user interface, application
Description automatically generated"]https://lh3.googleusercontent.com/U...XiJMFmxvc2E_2jna6hYv-MQdxORqpE42PxXapCw[/IMG]Figure 6a: Download BrainChip Akida-compatible model for custom deployment on BrainChip Akida devices Figure 6b: Download pre-built binary for AKD1000 mini PCIe development board
![]()
BrainChip Akida™ Platform Features in Edge Impulse
This blog highlights the new features with BrainChip technology that are now available in Edge Impulse Studio.www.edgeimpulse.com
Unless I am completely missing the point what Edge Impulse is saying is that any of the existing 130,000 projects can be simply deployed to AKIDA and you will be provided with performance figures so you can see the advantages such as they may be of running on AKIDA.
Later in this blog they talk about things an advanced user could additionally do so again this suggests that checking to see if AKIDA will improve performance is as simple as falling off a technology log.
This suggests at least to me that 1% is a very conservative estimate of what is happening in the Edge Impulse developer world where AKIDA is concerned.
My opinion only DYOR
FF
AKIDA BALLISTA
Yes. That's why BrainChip appears on their platform alongside Arduino, Nvidia, Texas Instruments, Synaptics & others.
You develop the Edge Impulse ML algo & then have the option to load it onto a chip of your choice listed on their platform.