Powering AI Architectures
Large Language Models
Keep tokens flowing. Our CPUs and AI engines minimize memory stalls so attention layers and KV-caches stay fed, improving tokens-per-second and efficiency on modern LLMs
Stable Diffusion & Generative AI
From U-Nets to VAEs, we accelerate the heavy math while prioritising bandwidth, so denoising steps run smoothly and batches scale without choking on memory
Image Classification
Efficient vector/tensor paths and smart data movement keep convolutions and post-processing responsive—even within tight power envelopes
