DphnAI distributes 50K $POD to 33 node providers for Qwen 35B contributions
by@dphnAI
Summary
The first epoch of rewards for node providers operating within the Dolphin Inference Network has been successfully paid out, distributing 50,000 $POD tokens to 33 providers based on their contributions to the Qwen 35B inference pool, which has generated over 3.2 billion tokens to date. This inference network supports the deployment of nodes running the Qwen 3.6 35B model for synthetic data generation tasks, and as a notable aspect of its capacity, it boasts a total inference bandwidth of 9,400 t/s. Public API access to the inference pool is set to be released soon.
Tokens
$POD
Analysis
Qwen: Qwen is Alibaba Cloud's family of open-source large language models excelling in coding, reasoning, and multilingual tasks. The recent Qwen3.6-Plus release advances agentic capabilities for real-world applications like improved efficiency in complex deployments. In this news, dphnAI utilizes the Qwen 3.6 35B variant in its distributed inference pool to enable node providers' contributions. dphnAI: dphnAI, known as Dolphin, is an AI lab developing uncensored open-source models and a decentralized inference network for distributed compute. It collaborates on projects like Venice Uncensored models with vision capabilities. The network runs Qwen models and has initiated $POD token rewards for node providers based on their inference contributions. {"Upcoming Access": "Public API access to the inference pool is planned for imminent release.", "Model Deployment": "Nodes in the pool run Qwen 3.6 35B.", "Inference Network": "Dolphin Inference Network supports beta node operations for Qwen model inference with rewards in $POD tokens."}
Categories
cryptoai_agentsmachine_learningtech
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