Quadric

Quadric provides NPU IP and a complete software toolchain for programmable AI chips and SoCs. It offers flexible AI accelerator IP to power the next generation of AI chips, simplifying AI processor development.

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Pricing

Likely Not Free

Free tier

API

Skill level

Technical

About

What is Quadric?

Quadric offers a General-Purpose NPU (GPNPU) IP and a comprehensive software toolchain designed to accelerate AI chip development. The Chimera GPNPU is a foundational processor IP that scales from 1 to 864 TOPS, enabling end-to-end inference including pre and post-processing. It addresses the complexities of edge AI silicon by providing a unified inference solution with CPU flexibility and accelerator efficiency. The Chimera SDK allows flexible development, compiling most models and extending others in C++, with pre-silicon accuracy via an Instruction Set Simulator. This solution aims to provide future flexibility, silicon efficiency, and software simplicity for AI chips.

Best used for

Ideal for developers and product managers who need to design and optimize AI chips for edge devices, integrate flexible AI accelerator IP, and accelerate the development of AI-powered products. Especially valuable for those building solutions for automotive, LLMs, and vision transformers requiring low latency and power efficiency.

Common actions

design AI chips

optimize AI inference

accelerate AI development

integrate NPU IP

Capabilities

Key features

Licensable NPU IP
Complete software toolchain
1-864 TOPS scalability
Python/C++ extensibility
Pre-silicon accuracy
Single-batch latency optimization
Power efficient

Target Audience

developerproduct managerstartup founder

Integrations

Not yet documented

Pricing & Plans

Likely Not Free

Not publicly disclosed. Check quadric.ai for current pricing.

FAQs

What is the Chimera GPNPU?

The Chimera GPNPU is Quadric's General-Purpose Neural Processing Unit (NPU) IP. It's a foundational processor IP designed for end-to-end AI inference, including pre and post-processing, and scales from 1 to 864 TOPS, offering both CPU flexibility and accelerator efficiency.

How does Quadric address the challenges of edge AI silicon?

Quadric addresses these challenges by providing a unified inference solution with a single toolchain across the chip line. This approach offers future flexibility, silicon efficiency, and software simplicity, overcoming issues like chip delays, brittle silicon, and fragmented toolchains common in edge AI development.

What development support does the Chimera SDK offer?

The Chimera SDK provides flexible development capabilities, allowing users to compile most models and extend others using C++. It includes a graph compiler for ONNX models from PyTorch or TensorFlow, and an Instruction Set Simulator (ISS) for cycle-accurate performance prediction before tape-out.

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