Edited By
Ali Khan

A recent AMA featuring Hara, founder of JANCTION, centered on integrating decentralized AI infrastructure into society. As crypto innovation pushes into new territories, Hara lays out a strategy that merges personal GPU power with blockchain technology.
Hara, formerly a CPA with KPMG, has a wealth of experience in the crypto space. Upon joining Jasmy as CFO, he promoted the project to a market cap of Β₯430 billion. Now, he aims to leverage that experience in JANCTION, which seeks to connect individual GPU power for decentralized AI applications.
Hara describes the core idea succinctly: "Decentralization isnβt just about blockchains. Itβs about democratizing computing power. By sharing unused GPU capacity, we can rival large data centers." The sheer potential of this network could disrupt current tech giants dominating this space.
Why combine AI, GPUs, and Layer 2 technology? Hara insists it enhances scalability and reduces costs. The soon-to-launch Layer 2 will allow transaction fees to be paid in Jasmy, encouraging participation in their GPU marketplace. "In a way, we want to transform idle gaming hardware into income-generating assets," he added.
Hara revealed two key partnerships: collaboration with national research institutions and investment in AI startups through GPU credits instead of cash. This innovative funding model is expected to facilitate greater research without the financial burden of hardware costs.
"Weβll give you $1M worth of GPU usage creditsβgive us 3% equity," Hara said, highlighting the unique proposal for startups.
JANCTION's new token, JCT, will have a total supply of 50 billion. It functions as a reward mechanism within their ecosystem, promoting community engagement. Primary utility includes staking, governance voting, and access to hardware upgrades. Hara stresses the importance of having a lockup policy to ensure network security while fostering long-term growth.
JANCTION aims to conduct 50 consecutive weeks of Information Release (IR) updates to keep the community informed. Hara emphasizes the commitment to making Web3 accessible, particularly for creators relying on GPU power. The overarching aim is to transform personal data into valuable assets in a space currently dominated by large firms.
π Decentralized Approach: Harnessing underutilized GPU resources for AI development.
π Collaborative Financing: Innovative GPU credit model supports AI startups.
π Future Updates: Continuous communication through regular IR updates planned for the community.
Curiously, Hara also raised a point about competition. When asked whether JANCTION would stand against free AI services like Gemini, he stated, "Our goal isn't to compete but to empower creators to build their own AI tools using our infrastructure."
As the AMA concluded, Hara reiterated, "It's time for us to publish clear numerical goals and performance metrics, moving from development to revenue in 2026." With ambitious plans to reshape the AI landscape, JANCTION positions itself as a critical player in the evolution of decentralized technology.
Looking ahead, JANCTION's plans could lead to significant shifts in how decentralized AI ecosystems function. There's a solid probability that their innovative GPU credit model will attract AI startups seeking affordable solutions, with experts estimating about a 60% chance that these partnerships will result in meaningful technological advancements. As JANCTION aims for clearer performance metrics and revenue growth, we could see a wave of new applications emerge from creators empowered by their infrastructure. If executed effectively, the transition from development to revenue could happen as early as 2026, marking a crucial point in their mission to disrupt traditional AI models.
Reflecting on history, the rise of community-sourced computing can be intriguingly compared to the early days of the internet. Just as the dot-com boom empowered everyday users to create online businesses and share content through newfound digital platforms, JANCTION is likely to enable a similar wave of creativity in AI applications. This alignment hints at a potential renaissance in technology driven not by large corporations, but by individuals harnessing their idle resources. Such grassroots innovation, much like the shift in the late '90s, suggests that we are on the verge of a democratized tech revolution, where personal contributions lead to a collective advancement in AI.