The Good Tech Companies - How to Earn $350 a Month From Your GPU With Sogni and Salad

Episode Date: April 29, 2025

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-earn-$350-a-month-from-your-gpu-with-sogni-and-salad. Sogni and Salad expand decentralized AI infrastructure to allow GPU owners and renters to earn from AI workloads. Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories. You can also check exclusive content about #sogni-news, #sogni-announcement, #salad, #blockchain, #web3, #good-company, #ai, #gpu, and more. This story was written by: @ishanpandey. Learn more about this writer by checking @ishanpandey's about page, and for more stories, please visit hackernoon.com. Sogni and Salad expand decentralized AI infrastructure to allow GPU owners and renters to earn from AI workloads.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. How to earn $350 a month from your GPU with Sanyi and Salad, by Aishan Pandey. Hush-hush how Sanyi and Salad plan to decentralize AI processing power as generative AI models become more complex and demanding, the question of how to power them efficiently and affordably becomes increasingly urgent. Sanyi AI, a decentralized platform for creative AI tools, has announced a strategic partnership with Salid Technologies, a distributed GPU provider. The collaboration opens a new front in the race to build accessible, decentralized AI infrastructure.

The partnership allows GPU owners and renters to contribute to Sony's SuperNet, a decentralized computing network currently in Testnet. By integrating with Salad's infrastructure, Sony can now tap into more than 60,000 GPUs through plug-and-play recipes. These recipes automatically deploy Sognisai workloads, including its stable diffusion and flux worker models, letting users start earning Sanyi tokens immediately after setup. What is the SuperNet and how does it work?

Sanyi's SuperNet operates as a decentralized physical infrastructure network, DEPIN, enabling users around the world to contribute computing resources for generative AI tasks. At its core, the SuperNet distributes AI jobs, such as generating images or art, to connected GPU nodes, which then perform the work on DARE rewarded with $SANY tokens. Currently in its testnet phase, the SuperNet is preparing for a full-scale mainnet launch. Fast worker nodes, typically running on high-end GPUs like the NVIDIA RTX 4090, are estimated to earn around $350 per month. This payout is notable when compared to other GPU rental or staking opportunities in both

Web 2 and Web 3 ecosystems. The network already processes more than one, five million generations daily using over 100 image generation models. How does Salad fit into this model? Salad Technologies provides an on-demand, decentralized GPU network that enables anyone with a SALID account to rent GPU time at scale. The new integration with Sanyi simplifies the onboarding process for contributors. Users can select a recipe, such as the Sanyi Stable Diffusion Worker, and immediately start

processing jobs on the SuperNet. All necessary models and configurations are APER loaded, minimizing setup time. Mark Ledford, CTO of Sanyi AI, explained the benefit clearly. Greater than, salad is the easiest on ramp yet for contributors looking to support creative greater than AI. Even if you don't own a $4000 workstation, you can rent time on salad and greater than begin earning as part of our network. The integration also enables dynamic scaling. If demand on the supernet increases, users can spin up more salad nodes to match that demand. In performance, salad nodes are nearly indistinguishable from hardware owned and run by users directly.

What's at stake for the I&W EB3 communities? The broader implication of this partnership lies in its attempt to democratize access to compute infrastructure. High-performance GPUs are expensive and often centralized in large data centers or controlled by a few cloud providers. By enabling individuals to contribute or rent GPU power through Sallid, Sonya IS distributing both the workload and the rewards. Bob Miles, CEO of Salad Technologies, said, Greater than our distributed GPU network is built to support the scale, speed,

and greater than efficiency modern AI startups like Sonye need to grow fast. Its mission of greater than fueling collective creativity aligns perfectly with Salad's mission of greater than democratizing compute. By leveraging consumer hardware and idle GPU capacity, both companies are working toward an ecosystem that reduces reliance on centralized infrastructure. This is especially relevant for the creative AI community, where artists and developers often operate outside of institutional frameworks. Where is this going next? With $2 million in new

funding and a user base that has grown from 10,000 to 340,000 during testnet, Sanyi is expanding into AI video workloads on the supernet. This next phase would bring significantly heavier computational requirements, making the salad integration even more critical. Mavis Ledford, also CTO of Sanyi, emphasized the direction greater than, the Sanyi supernet is designed to be a network of networks. We're proud to greater than have Salad as one of the backbones of our supernetwork where gamers, artists, greater than and creators across the globe share resources and earn together.

As the generative AI ecosystem continues to evolve, decentralized infrastructure may offer a counterbalance to the concentration of compute power. Whether or not the model is sustainable in the long term will depend on continued token incentives, platform stability, and hardware participation from global users. My take this partnership is a reflection of two concurrent trends, the explosion of generative AI and the rising relevance of decentralized physical infrastructure networks. By merging these concepts, Sanyi and Salad are offering a model that reduces barriers

for contributors while distributing both value and control. However, the reliance on token incentives and speculative returns may also raise questions around sustainability in the long run. That said, using idle hardware to support open-source AI creation feels like a use case with real traction. The shift from hype to utility in Web 3 will depend on how well such collaborations perform under real-world conditions and market adoption. With the team using token incentives it can test and create that initial traction to prove the market fit of such a solution to miners.

Don't forget to like and share the story. Tip Vested Interest Disclosure. This author is an independent contributor publishing via our business blogging program. Hacker Noon has reviewed the report for quality, but the claims herein belong to the author. Hashtag dyo. Thank you for listening to this Hacker Noon story, read by Artificial Intelligence.