applications with reduced power consumption and enhanced performance compared with traditional GPU-based systems, enabling enterprise and cloud teams to serve models efficiently with lower operational cost and energy use. The company’s technology is engineered to run popular open-source transformer models seamlessly through compatible APIs, facilitating integration into existing AI workflows without extensive modification. Positron’s platforms combine custom hardware architectures with supporting software to help customers scale AI deployment, manage performance, and extend model context capacity for diverse workloads. It also works to advance next-generation compute solutions that address memory bandwidth and scalability challenges common in AI inference environments. Positron engages with technical and infrastructure teams to deploy its systems in data center and cloud environments where inference workloads require cost-effective, high-throughput processing.