This blog post was originally published at Quadric’s website. It is reprinted here with the permission of Quadric. The ChiPy DSL is Quadric’s Python framework for building complete on-chip pipelines. Using YOLOX-M as a case study, we show how backbone inference, box decoding, and NMS run entirely on the Chimera GPNPU — no host CPU intervention, […]
This blog post was originally published at Quadric’s website. It is reprinted here with the permission of Quadric. After years of cloud-centric inference, AI is moving to the edge. The “Goldilocks zone” of 3B to 30B parameter models is delivering GPT-4-class performance on smartphones, automotive systems, and industrial equipment — and creating an acute challenge for
The On-Device LLM Revolution: Why 3B-30B Models Are Moving to the Edge Read More +
Tripling product revenues, comprehensive developer tools, and scalable inference IP for vision and LLM workloads, position Quadric as the platform for on-device AI. BURLINGAME, Calif., Jan. 14, 2026 (PRNewswire) — Quadric®, the inference engine that powers on-device AI chips, today announced an oversubscribed $30 million Series C funding round, bringing total capital raised to $72
Quadric today announced that TIER IV, Inc., of Japan has signed a license to use the Chimera AI processor SDK to evaluate and optimize future iterations of Autoware, open-source software for autonomous driving pioneered by TIER IV. Burlingame, CA, January 14, 2026 – Quadric today announced that TIER IV, Inc., of Japan has signed a
This blog post was originally published at Quadric’s website. It is reprinted here with the permission of Quadric. The term “model zoo” first gained prominence in the world of AI / machine learning beginning in the 2016-2017 timeframe. Originally used to describe open-source public repositories of working AI models – the most prominent of which today
Let’s Visit the Zoo Read More +
Nigel Drego, Co-founder and Chief Technology Officer at Quadric, presents the “ONNX and Python to C++: State-of-the-art Graph Compilation” tutorial at the May 2025 Embedded Vision Summit. Quadric’s Chimera general-purpose neural processor executes complete AI/ML graphs—all layers, including pre- and post-processing functions traditionally run on separate DSP processors. To enable this, the Chimera Graph Compiler
Burlingame, CA – May 12, 2025 – Quadric® today announced that it will showcase its ChimeraTM general-purpose neural processing unit (GPNPU) at the Embedded Vision Summit, May 20-22, 2025, at the Santa Clara Convention Center. The Chimera GPNPU was recently named the 2025 Best Edge AI Processor IP by the Edge AI and Vision Alliance. Quadric
See the 2025 Best Edge AI Processor IP at the Embedded Vision Summit Read More +
Burlingame, CA – April 21, 2025 – Quadric® today announced that its ChimeraTM QC general-purpose neural processing unit (GPNPU) was named the 2025 best edge AI processor IP by the Edge AI and Vision AllianceTM. The annual Edge AI and Vision Product of the Year Awards celebrate the top building-block components that enable edge AI
Quadric’s Chimera GPNPU Named Best Edge AI Processor IP by Edge AI and Vision Alliance Read More +
Awards Celebrate Innovation and Achievement in Computer Vision and Edge AI SANTA CLARA, Calif., April 21, 2025 — The Edge AI and Vision Alliance today announced the 2025 winners of the Edge AI and Vision Product of the Year Awards and the AI Innovation Awards. The Edge AI and Vision Product of the Year Awards
Quadric’s Chimera QC Series GPNPU Processors has been awarded the 2025 Edge AI and Vision Product of the Year Award in the Edge AI Processors IP category. The Chimera GPNPU family, which scales up to 800 TOPs, is the only fully C++ programmable neural processor solution that can run complete AI and machine learning models
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