The Chimera GPNPU from Quadric is engineered to meet the diverse needs of modern AI applications, bridging the gap between traditional processing and advanced AI model requirements. It's a fully licensable processor, designed to deliver high AI inference performance while eliminating the complexity of traditional multi-core systems. The GPNPU boasts an exceptional ability to execute various AI models, including classical backbones, state-of-the-art transformers, and large language models, all within a single execution pipeline.\n\nOne of the core strengths of the Chimera GPNPU is its unified architecture that integrates matrix, vector, and scalar processing capabilities. This singular design approach allows developers to manage complex tasks such as AI inference and data-parallel processing without resorting to multiple tools or artificial partitioning between processors. Users can expect heightened productivity thanks to its modeless operation, which is fully programmable and efficiently executes C++ code alongside AI graph code.\n\nIn terms of versatility and application potential, the Chimera GPNPU is adaptable across different market segments. It's available in various configurations to suit specific performance needs, from single-core designs to multi-core clusters capable of delivering up to 864 TOPS. This scalability, combined with future-proof programmability, ensures that the Chimera GPNPU not only addresses current AI challenges but also accommodates the ever-evolving landscape of cognitive computing requirements.
