📺Key Features

Scalability at Global Scale

Dekuper supports adding millions of GPU-enabled nodes, dynamically scaling compute power as demand grows. Unlike traditional platforms, this decentralized model eliminates bottlenecks caused by centralized infrastructure constraints.

Enhanced Cost-Effectiveness

By leveraging unused GPU resources, Dekuper significantly reduces the cost of AI model training, fine-tuning, and inference. This efficiency empowers startups, researchers, and small businesses to access high-performance computing (HPC) capabilities without breaking the bank.

Superior Efficiency for LLM Workloads

Dekuper’s architecture delivers up to 30% greater efficiency in training and fine-tuning large language models (LLMs), thanks to optimized workload distribution and GPU utilization. This advantage translates into faster development cycles and improved AI model performance.

Green Computing

Dekuper minimizes the need for energy-intensive data centers by repurposing existing GPU resources, contributing to a more sustainable computing environment. This eco-friendly model aligns with global efforts to reduce carbon footprints.

Decentralized Security

Security is built into the fabric of Dekuper’s peer-to-peer architecture. Distributed consensus mechanisms and advanced encryption ensure that data integrity and privacy are maintained without reliance on a single point of failure.