Neural Ready

Intelligence Without the Tether

The shift from centralized cloud processing to localized intelligence represents the most significant architectural pivot in the history of computing. Tigard Semiconductors’ Neural-Flow architecture is purpose-built to facilitate this transition, enabling complex generative AI models to run directly on the silicon without the constant need for back-and-forth data transmission. By processing GenAI workloads natively, we eliminate the latency bottlenecks and security vulnerabilities inherent in cloud-reliant systems. This provides a platform where "Intelligence at the Edge" is a reality, ensuring that real-time responsiveness and absolute data privacy are no longer mutually exclusive.

Engineered for the Transformer Era

At the core of our Neural Ready chips is a specialized NPU (Neural Processing Unit) matrix specifically optimized for transformer-based architectures and Large Language Model (LLM) inference. Unlike general-purpose processors, our architecture utilizes high-bandwidth, 3D-stacked memory to bypass the traditional "Memory Wall," allowing for the rapid weight-loading required by modern GenAI. This specialized hardware pathway ensures that generative tasks—from real-time natural language synthesis to local image generation—are executed with up to $10\times$ the power efficiency of previous generations. This preservation of thermal headroom allows high-performance AI to thrive in compact, mobile, and fanless environments.

The Future of Data Sovereignty

Beyond raw performance, Tigard’s commitment to on-device GenAI is a fundamental commitment to data sovereignty. When the "brain" of the application is contained entirely within the local hardware, user privacy is fortified at the physical layer, ensuring that sensitive information never leaves the device's secure enclave. Whether deployed in autonomous vehicles requiring split-second decision-making or in hyper-personalized consumer electronics, our Neural Ready architecture provides a future-proof foundation. We aren't just building chips that can handle today’s AI; we are engineering a resilient ecosystem where the hardware is as adaptable and intelligent as the software it supports.