Nimble Network and io.net Announce Strategic Partnership to Accelerate AI Model Development and Deployment

In a move set to transform the landscape of artificial intelligence (AI) development, Nimble Network, a provider of a decentralized framework for AI model and data utilization, has entered into a strategic partnership with io.net, a decentralized distributed compute network. This collaboration marks a significant step forward in making AI development more efficient, accessible, and scalable by leveraging the unique strengths of both platforms.

Nimble Network offers an innovative decentralized framework that facilitates the seamless combination and reuse of AI models and data across a network of interconnected AI agents, data providers, and compute resources. This approach challenges the status quo of centralized platforms, promoting a more collaborative and flexible environment for AI development.

At Nimble we want to make AI more accessible to everyone, and the availability and cost of GPUs are a key obstacle to that goal. Through our partnership with io.net, the Nimble ecosystem gains access to thousands of powerful compute resources, including the most powerful and sought-after GPUs.

Nimble will seamlessly match decentralized training and inferencing workloads directly to compute within io.net’s compute network. By closely integrating the two networks, application and AI developers can focus on their core products instead of building out complex data and model management infrastructure.

io.net, known for its capacity to enable machine learning (ML) engineers to deploy GPU clusters of any scale swiftly and cost-effectively, brings to the table its extensive infrastructure. This includes access to high-end NVIDIA GPUs, such as 4090 models, across a distributed network. The synergy between Nimble’s orchestration layer and io.net’s decentralized infrastructure network (DePIN) is poised to provide a robust solution tailored for the dynamic needs of AI compute resources.

Driving Forward with a Shared Vision

The partnership’s scope is ambitious, aiming to harness io.net’s decentralized compute resources to amplify the capabilities of Nimble’s tooling and orchestration layer. Key initiatives include:

• Launching joint marketing efforts to enhance visibility and attract a broad user base of AI developers and data scientists.
• Developing a proof of concept that showcases the effectiveness of leveraging io.net’s GPU clusters for advanced AI model training and fine-tuning.
• Facilitating the use of Nimble’s setup tools on io.net, allowing builders to effortlessly connect compute resources to data for AI model experimentation.

The roadmap

The collaboration outlines a clear roadmap for implementation and testing:

• Phase 1 focuses on initiating trials with Ray clusters on io.net to optimize Nimble’s decentralized framework integration, coupled with joint communications to outline the partnership’s goals and potential impact.
• Phase 2 aims at full integration of Nimble’s tools with io.net, providing AI developers, including HuggingFace researchers, with easy access to clustered GPUs. This phase also explores engaging GPU miners to utilize their resources, potentially adding 20K GPUs to the network.

About io.net

io.net is a decentralized physical infrastructure network (DePIN) that deploys and manages on-demand, decentralized GPU clusters from geo-distributed sources. Hundreds of thousands of GPUs are accessible today in IO Network, and this Internet of GPUs is specifically architected for low latency, high processing demand use cases like AI/ML ops and cloud gaming. io.net democratizes access to GPU compute capacity while reducing costs, expediting lead times, and expanding choice for engineers and businesses. Access compute capacity for a fraction of the cost or become a capacity supplier at io.net .

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