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Salad.com and Golem Network have partnered to test whether decentralized web3 compute infrastructure can reliably support and enhance Salad’s existing global GPU cloud workloads.
Salad.com, a GPU Cloud Platform powered by globally distributed infrastructure, and Golem Network, one of the first decentralized computing protocols, have announced a partnership. This collaboration will evaluate the feasibility of meeting Salad’s existing computational demand using Golem’s web3 infrastructure.
As part of an engineering test, Salad first intends to utilize Golem’s permissionless execution layer to ‘mirror’ and map a portion of its existing commercial activity, spanning the range of Salad’s cloud computing products and services. This partnership serves as a functional test designed to verify that DePIN protocols, in this case Golem, can support the breadth of customer and workload profiles currently utilizing Salad’s cloud infrastructure.
Today, Salad relies on a stack of centralized services for facilitating customer payments and the delivery of rewards to its network of infrastructure providers. With a global footprint of both customers and compute providers, Salad’s software stack of traditional payment processors, usage-based billing platforms and reward suppliers represents significant complexity and operational overhead. Crypto payments and a permissionless compute-execution layer, similar to that offered by Golem Network, may deliver significant efficiency gains for Salad’s products and services.
This collaboration seeks to validate how a traditional web2 business like Salad can integrate with a permissionless and decentralized protocol, such as the Golem Network. The test will evaluate core components, including the decentralized marketplace and settlement infrastructure, and how they could offer Salad a more cost-efficient and transparent platform for value exchange.
Salad and Golem Network share a similar goal of making accelerated computational power more widely accessible. Both platforms support a range of workload profiles, from in silico drug-discovery simulations, AI inference, to 3D rendering.
This partnership aims to show how traditionally separate web2 and web3-based marketplaces can be integrated, enabling participants to benefit from complementary capabilities while laying the groundwork for future resource-sharing across currently siloed networks.
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