How do the Sogni and Salad plan to decentralize the processing power of AI
As generative AI models become more sophisticated and demanding, the question becomes how to reach them effectively and affordingly. The decentralized platform of Creative AI tools Sogni AI has announced a strategic partnership with a scattered GPU Salad Technologies. The cooperation will open a new front in the competition to build an accessible, decentralized AI infrastructure.
The partnership allows GPU owners and tenants to contribute to the Sogni Supernet, which is currently in a decentralized computing network in Testnet. By integrating salad infrastructure, Sogni can now use more than 60,000 GPUs through the plug and the game “recipes”. These recipes automatically implement the workload of Sogni AI, including models of its stable diffusion and Flux workers, allowing users to start earning the Sogni chips immediately after setup.
What is Supernet and how does it work?
Sogni Supernet acts as a decentralized physical infrastructure network (depin), allowing users worldwide to contribute to the calculation resources of generative AI tasks. At the heart of this is the supernet AI workplaces – for example, for the generation of pictures or art – for connected GPU nodes, which then work and rewarded with $ Sogn's chips.
Currently, Supernet is preparing to start a full -size mainnet in its test phase. Fast employees, usually working on top-notch GPUs such as the NVIDIA RTX 4090, are estimated at around $ 350 a month. This payout is significant when compared to other GPU rental or contributions to both Web2 and Web3 ecosystems. The network already processes more than 1.5 million generations a day using more than 100 images generation models.
How is a salad fit for this model?
Salad Technologies offers a decentralized GPU network that allows anyone with a salad account to rent a GPU. The new integration with Sogni simplifies the boarding process of co -workers. Users can choose a recipe, such as a Sogni stable diffusion worker, and immediately start processing supernet work. All necessary models and configurations are pre -loaded, minimizing the setting time.
Sogni Ai CTO Mark Ledford clearly explained the advantage.
“The salad is the easiest on the ramp to support the creative AI. Even if you don't have a job of $ 4,000, you can rent a salad time and start serving as part of our network.”
Integration also allows for dynamic scaling. As the demand for supernet increases, users can spin more salad nodes with this demand. In performance, salad nodules are almost indistinguished from hardware that belongs and directs users.
What is at stake for AI and Web3 communities?
The broader meaning of this partnership lies in the attempt to democratize access to the calculation infrastructure. High-performance GPUs are expensive and often centralize in large data centers or are controlled by some cloud service providers. When allowing individuals to contribute or rent GPU power through the salad, the Sogni will distribute both workload and bonuses.
Salad Technologies CEO Bob Miles said:
“Our scattered GPU network is built up to support the scale, speed and efficiency of modern AI start -ups like Sogn's need to grow rapidly. Its mission to encourage collective creativity is perfect for a salad mission to democratize the calculation.”
By boosting consumer hardware and GPU power, both companies work for the ecosystem, which reduces the dependence on the centralized infrastructure. This is especially important for the AI's creative community, where artists and developers often operate outside the institutional framework.
Where does it go?
With a $ 2 million new funding and a user base that has grown from 10,000 to 340,000 during the test, Sogneti is expanding to video load. This next step would lead to significantly more difficult calculation requirements, making the integration of the salad even more critical.
Mauvis Ledford, as well as Sogni CTO, emphasized the direction:
“Sogni Supernet is for a network of networks. We are proud that we have a salad as one of our supernetwork spine, where players, artists and creators worldwide share resources and serve together.”
As the Generative AI ecosystem develops, a decentralized infrastructure may provide a balance of calculation concentration. Whether or not the model is sustainable in the long run depends on the continued symbols of global users, the stability of the platform and the hardware.
My shot
This partnership reflects two simultaneous trends: the explosion of a generative AI and the increasing importance of decentralized physical infrastructure networks. By combining these concepts, Sogn's and salad offer a model that reduces supporters' barriers while distributing both value and control.
However, dependence on symbolic stimuli and speculative revenue can also raise questions about sustainability in the long run. However, the use of idle hardware to support the creation of an open source with open source is like the case of a true traction. The transition from Hype to the utility in Web3 depends on how well such cooperation is done in real conditions and when the market is introduced. With the team, using symbolic stimuli, it can test and create its original traction to prove the suitability of the market for miners.
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Disclosure of interest decides: This author is an independent co -worker through us
