Raspberry Pi just dropped a game-changer for edge AI development. Their latest expansion board now packs 8GB of RAM, which opens up real possibilities for running generative AI models on distributed hardware without needing expensive cloud infrastructure. This is particularly interesting for Web3 builders working on decentralized AI applications and lightweight node operations. The shift toward accessible, low-power AI compute could reshape how blockchain networks handle on-chain intelligence and off-chain computation layers. Worth watching if you're tracking the convergence of AI and decentralized systems.
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
9 Likes
Reward
9
5
Repost
Share
Comment
0/400
WenMoon42
· 4h ago
Finally, someone has cracked edge AI. Raspberry Pi is really tough this time.
View OriginalReply0
ReverseTrendSister
· 4h ago
8GB Raspberry Pi? Now on-chain AI is really possible, no longer need to be exploited by cloud service providers.
View OriginalReply0
StealthDeployer
· 4h ago
8GB RAM on edge? Finally getting interesting. Now on-chain AI no longer has to rely on cloud providers.
View OriginalReply0
SadMoneyMeow
· 5h ago
Is 8GB really enough? It still feels a bit tight.
View OriginalReply0
bridgeOops
· 5h ago
8GB Raspberry Pi, finally able to run models locally? Now on-chain AI is no longer a pipe dream.
Raspberry Pi just dropped a game-changer for edge AI development. Their latest expansion board now packs 8GB of RAM, which opens up real possibilities for running generative AI models on distributed hardware without needing expensive cloud infrastructure. This is particularly interesting for Web3 builders working on decentralized AI applications and lightweight node operations. The shift toward accessible, low-power AI compute could reshape how blockchain networks handle on-chain intelligence and off-chain computation layers. Worth watching if you're tracking the convergence of AI and decentralized systems.