2/ I'll let you read the actual words from the COO:
Page 1) Customers now have flexibility to train, manage & deploy multiple independent models to the Edge with ease which means faster times.
P 2) He gives examples of how they are seeing "huge interest from commercial clients.
3/ Now $PLTR have built and launched their own Apollo for Edge AI on top of Apollo.
Note: This is a proprietary technology that $PLTR has been working on for a while and launched in April.
Read some use-cases below⬇️
4/ Edge networks are powering many high-speed internet application industries that need intense computations with the rise of 5G. This is key for managing multiple IoT devices across countries. etc
As noted in my article, $PLTR is highly involved with these heavy industries....
5/
In this article, I talked extensively about how the rise of 5G, Edge Compute & IoT devices are going to drive the next generation of smart factories and how $PLTR is playing a dominant role..
6/ $PLTR's vertical integration has just gotten stronger by developing their own edge AI platform. It means they likely will not need platforms like $NET & $FSLY to help them.
This further builds on how $PLTR enhances their moat across key spectrums of the Analytics landscape.
7/ Edge Networks TAM is roughly an $18-30B industry by 2025 growing at a CAGR of 34%.
Key factors driving this adoption are the rise of the adoption of IoT across multiple industries from High-tech to VR/AR.
✅Means more $$
✅Expands their TAM
✅Increases stickiness
✅Expands offerings for clients
✅Clients can deploy rapid & advanced AI, saving costs
✅This therefore, increases their moat within the AI industry and landscape.
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