The rapid advancement of AI in the technology sector is not without its challenges, including escalating costs and environmental concerns. The energy demands of AI development strain software company margins and escalate the carbon footprint of data centers. In response, tech companies are innovating with AI-specific processors and custom chips optimized for LLM inference, as well as new GPU and NPU/TPU solutions, particularly valuable in mobile sectors for on-device AI processing.

Procero emerges as a pioneering leader in this landscape, focusing on optimizing existing and future GPU/NPU's performance to meet these challenges. Our proprietary technology, protected by a broad portfolio of patents, enhances the inference rate of LLMs by a factor of 2X to 5X while concurrently reducing the energy consumption on existing, unmodified GPUs and NPUs. This technological advancement not only applies to inference tasks but also extends significant benefits to the training phases of LLMs, demonstrating a critical leap in efficiency and sustainability across the board. Graphics and gaming also inherits those improvements.