manufacturers, such as those between memory and
processor providers.
Additionally, the availability of development tools and
software frameworks is an important consideration
when designers choose an ecosystem. Such tools
and frameworks can significantly accelerate the
design process and improve the final product's
performance. For example, AI frameworks optimized
for edge deployment, such as TensorFlow Lite,
enable efficient model execution on resource-
constrained devices. Hardware-specific development
kits and software development tools provided by
vendors within the ecosystem can allow designers to
quickly prototype and optimize their AI solutions.
To leverage the power of ecosystems and ensure the
utmost performance, designers can opt to work with
pretested and validated building blocks. A pretested
building block is a predesigned and validated
hardware module or subsystem that integrates
main components into a single solution.
Building blocks typically take the form
of system-on-modules (SOMs)
or single-board computers,
We can combine compute
elements based on your
requirements in a nicely packaged,
plug-and-play solution—a
pretested block. Now, your team
can focus on design and not spend
their time making memory, logic,
and software work together."
David Henderson
Sr. Director, Industrial & Multi-Market Segment,
Micron Technology
C h a p t e r 3 | S i m p l i f y i n g D e v e l o p m e n t : T h e R o l e o f P r e t e s t e d B u i l d i n g B l o c k s
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5 Experts on Addressing the Hidden Challenges of Embedding Edge AI into End Products 5 Experts on Addressing the Hid
