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Salad.com and Golem Community have partnered to check whether or not decentralized web3 compute infrastructure can reliably assist and improve Salad’s present international GPU cloud workloads.
Salad.com, a GPU Cloud Platform powered by globally distributed infrastructure, and Golem Community, one of many first decentralized computing protocols, have introduced a partnership. This collaboration will consider the feasibility of assembly Salad’s present computational demand utilizing Golem’s web3 infrastructure.
As a part of an engineering take a look at, Salad first intends to make the most of Golem’s permissionless execution layer to ‘mirror’ and map a portion of its present business exercise, spanning the vary of Salad’s cloud computing services. This partnership serves as a purposeful take a look at designed to confirm that DePIN protocols, on this case Golem, can assist the breadth of buyer and workload profiles at the moment using Salad’s cloud infrastructure.
As we speak, Salad depends on a stack of centralized providers for facilitating buyer funds and the supply of rewards to its community of infrastructure suppliers. With a world footprint of each prospects and compute suppliers, Salad’s software program stack of conventional cost processors, usage-based billing platforms and reward suppliers represents important complexity and operational overhead. Crypto funds and a permissionless compute-execution layer, much like that supplied by Golem Community, could ship important effectivity positive aspects for Salad’s services.
This collaboration seeks to validate how a conventional web2 enterprise like Salad can combine with a permissionless and decentralized protocol, such because the Golem Community. The take a look at will consider core parts, together with the decentralized market and settlement infrastructure, and the way they might provide Salad a extra cost-efficient and clear platform for worth trade.
Salad and Golem Community share the same objective of creating accelerated computational energy extra extensively accessible. Each platforms assist a spread of workload profiles, from in silico drug-discovery simulations, AI inference, to 3D rendering.
This partnership goals to indicate how historically separate web2 and web3-based marketplaces may be built-in, enabling individuals to learn from complementary capabilities whereas laying the groundwork for future resource-sharing throughout at the moment siloed networks.
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