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Our IP inference accelerators power both CNN-based vision models and LLM/Transformer-based generative models.
Deliver high-efficiency image recognition for tasks like classification and object detection, while also enabling fast text generation and conversational AI.
VisionNet
Status : Ready as Prototype on FPGA & Tape out with Technology-Independent
Configurable 8-bit CNN accelerator with on-chip SRAM for fast, low-power edge AI inference across VGG16, AlexNet, ResNet-50, and custom models.
GenCore
Status : In Development, Expected to be available on Q3 2026
Configurable transformer accelerator for fast, low-power edge AI inference on Stories260K, Stories15M, SmolLM 135M, LLaMA 3.2, and custom models, supporting FP32, INT8, and INT4.
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