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get startedIn the fast-evolving world of AI, visionaries face various challenges: from scarce computing resources to the dominance of tech giants. Join and contribute in a space where these barriers disappear, making room for a future where AI infrastructure is shared and jointly created by the people, for the people.
Discover our Roadmap
Market Problem
The high costs and limited availability of computing power, necessary for AI development, pose significant barriers, especially for startups and independent developers.
Golem's Solution
Golem democratizes access to computing power by leveraging a decentralized network, significantly reducing costs and enabling AI developers and startups to tap into these resources.
Market Problem
The concentration of AI resources and infrastructure within a few tech giants restricts innovation and narrows opportunities for smaller entities.
Golem's Solution
By catalyzing entrepreneurial participation, Golem’s decentralized network ensures accessible computing power for innovators at all levels. This empowers a diverse community to not only compete but also actively drive the expansion of AI resources to meet intensifying global demand.
Market Problem
AI projects that have achieved market success and have a large user base require additional computational power to run their models. Scaling AI model inference necessitates numerous GPU cards with multiple instances of the same model.
Golem's Solution
With rising demand for Golem, its market-driven approach facilitates scaling by harnessing resources from distributed sources, not just direct providers but also through partners, eg.: utilizing gamers' graphics cards.
Market Problem
Proprietary AI systems lead to a lack of transparency, making it difficult for the broader community to trust, understand, and build upon existing work.
Golem's Solution
Emphasizing an open-source approach, Golem promotes transparency and collaboration in AI development, encouraging innovation and trust within the community.
Market Problem
Many models do not require enterprise-grade cards for deployment.
Golem's Solution
With Golem, you gain access to much more affordable GPU computing power, readily available, and sufficiently powerful for many AI models. This optimizes both infrastructure and energy costs.
Contribute your GPU power to the Golem Network and earn GLM tokens, free from any third-party fees. Use these tokens to access additional GPU resources for your projects, or exchange them for other assets on the Ethereum network.
With Golem, you're not just a user but a contributor. Our platform, rooted in open-source principles, invites you to both benefit from and enhance our transparent, free, and universally accessible ecosystem.
Dive into Golem Network without barriers. Enjoy the freedom to connect, compute, and contribute without permission, opening doors to limitless possibilities.
Golem Network is designed as a supportive environment for innovation, anchored by our open-source platform. By providing accessible, open-source AI infrastructure, we aim to empower developers, creators, and startups to push the boundaries of technology. More than just a network, we strive to build a community focused on making AI development more democratic.
Here, we hope to foster a space where emerging ideas can be nurtured and scaled in a collaborative and transparent setting. Golem Network aspires to offer the necessary resources and freedom for anyone interested in contributing to the future of open-source AI models.
The development of the AI industry is driven not only by big tech companies but primarily by startups developing applications based on AI models. The database of companies developing such products and services includes 8.261 companies. However, there are over 17.000 startups registered in the NVidia ecosystem.
The adoption of AI tools is accelerating worldwide. It is estimated that as many as 250 million companies are either using or exploring various tools based on AI. With increasing adoption, the demand for computing power for AI inference models also increases.
There is enormous untapped potential in the consumer-grade GPU market. The computing power of all consumer cards sold in 2023 will be enough to train 130 models, including the revolutionary ChatGPT-4.
| Type | Application | Is DePIN useful? |
|---|---|---|
| Data Processing and Preparation for Training Models | Data collection parallel download |  |
| Generating synthetic data for training (inference) | | |
| Data cleaning and filtering | | |
| Deduplication | | |
| Tokenization | | |
| Training and fine tuning | Training a model on a single node with multiple GPUs | |
| Training a model on multiple nodes with GPUs connected via the Internet |  | |
| Training a model on multiple nodes with GPUs connected with fast connection in data centre | | |
| Inference | Inference | |
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Commercial Data Centers
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Share your GPU resources and start contributing to the Golem Network while earning GLM tokens. Follow our detailed, step-by-step guide to become a GPU Provider.
Learn how to start using Modelserve to run and deploy your AI model inferences at scale, affordably.
