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Stoa

Open-source proof-of-concept infrastructure for distributed reinforcement-learning post-training using Apple-silicon MLX workers, CUDA GPUs, and Cloudflare R2.
Category: Compute Network

Pluralis Research

Pluralis Research develops Protocol Learning, which enables foundation models to be trained and served across globally distributed participants without requiring a single participant to hold the complete model. Its work covers low-bandwidth model parallelism, asynchronous distributed optimization, fault-tolerant training, privacy-preserving unextractable models, and collective ownership. The organization operates Agora and Node0 training systems, publishes research, provides participation documentation, and releases open-source software for distributed training and reinforcement-learning workflows.
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Funding Rounds

Funding Round: Unknown
Funding Date: 19 Mar, 2025
Raised Amount: $7.6M
Funding Round: Seed
Funding Date: 1 Mar, 2025
Raised Amount: $7.6M

Investors