AI DApps

Multimodal Large Model.Integrate data from multiple sources like text, images, audio, and video, using deep learning techniques such as CNNs, RNNs, and Transformers. This enhances AI Avatars' ability to understand and adapt. Distributed low-memory training and inference. Distributed models across multiple GPUs enable the utilization of tensor parallelism, data parallelism, pipeline parallelism, gradient accumulation, and memory optimization techniques. This approach allows GPUs with smaller memory capacities to participate in inference computations.

StarLandAI has successfully integrated DePIN devices, such as PCs, GPU Servers, and other types of equipment, into the network. This will support the distributed operation of AI DApps, providing you with additional benefits.