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VeriSilicon’s AI GPU IP for automotive and edge

The company also has an NPU.

Jon Peddie

VeriSilicon developed a GPGPU-AI computing IP core for AI computational work, scalable and suitable for automotive electronics and edge servers. This design combines programmable parallel computation with a dedicated AI accelerator for intensive tasks like LLM inference and real-time decision-making, while managing thermal output and power use. Based on re-engineered GPU designs, it features an integrated AI accelerator, sparsity awareness, and mixed-precision computing. It supports high data transfer rates, various memory types, and popular AI frameworks, enabling multi-chip scalability for large-scale AI deployment. VeriSilicon has developed a GPGPU-AI computing IP core, which is designed for AI computational work and adaptable
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