Overview
Built-In AI/ML Processing for Optimized Power
The Cadence AI IP platform includes the extensible DSP platform from Cadence, which provides flexible instruction sets designed to perform artificial intelligence and machine learning (AI/ML) workload operations efficiently. Mixing AI and DSP workloads in a single application is easy with Tensilica DSPs.
The Tensilica AI Base platform offers 8 GOPS to up to 2 TOPS of AI performance and includes the popular Tensilica HiFi DSPs for audio/voice, Vision DSPs, and ConnX DSPs for radar and communications. The DSPs are based on the VLIW and SIMD architectures, with instruction sets optimized for specific domains, including extensions for AI. Customers benefit from the domain-specificity, extensibility, and configurability they have come to expect from the trusted, mature Tensilica DSP architecture. SoC designers can extend the base architecture to address specific workload requirements and create differentiation. These DSPs also offer a scalable multiplier accumulator (MAC) block that can run custom AI workloads efficiently, as well as an optimized NN library and comprehensive software support.
Key Benefits
Specialized and Configurable for Differentiation and Performance Optimization
Powerful DSP Instruction Set Supporting AI/ML Operations
Highly scalable IP portfolio, with AI Base built on successful and power-efficient domain-specific DSPs
Mixed Workloads
AI/ML processing can seamlessly combine with DSP in a unified application
Industry-Leading Performance and Power Efficiency
High Inferences per second per area (IPS/mm2) and per power (IPS/W)
End-to-End Software Toolchain for All Markets and a Large Number of Frameworks
NeuroWeave SDK provides a common tool for compiling networks across IP, with flexibility for performance, accuracy, and run-time environments
Products
Tensilica DSPs
HiFi DSPs for Audio, Voice, and Speech
DSPs ranging from ultra-low power always-on systems for home and automotive infotainment.
Vision DSPs for Imaging and Vision
For complex imaging, vision, and neural network (NN) algorithm processing in handsets, TVs, automotive, drones, and high-end wearables.
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