Overview
Faster Product Development for the Evolving AI Market
Developing an agile software stack is important for successful artificial intelligence and machine learning (AI/ML) deployment at the edge and on device. The Cadence NeuroWeave Software Development Kit (SDK) provides customers with a uniform, scalable, and configurable ML interface and tooling that significantly improves time to market and better prepares them for a continuously evolving AI market.
As new ML models are created from multiple AI frameworks that leverage the latest primitives and state-of-the-art topologies, running these models efficiently on a high-performance, up-to-date AI software stack can be a complex undertaking. With the proliferation of AI inferencing across multiple market segments, SoC designers are working harder to meet product development timelines and yet provide differentiation across their product portfolio.
Key Benefits
Leveraging Automated Toolchain to Reduce Time to Market
Pre-Silicon Simulation Environment for Evaluating AI Workloads for Vision, Audio, NLP, Robotics, Etc.
Turnkey software to enable AI inferencing for edge and on-device applications
Provide Key KPIs for AI Inferencing Deployments
Extract all the meaningful metrics for AI inferencing using cycle accurate analysis software and simulation platforms
Hardware/Software Co-Design Enablement
Enables both hardware and software tuning to deliver the best PPA to meet application-specific design goals
Features
Key Features of an Agile AI Compiler Stack
Resources
Browse Recommended Resources
Training & Support
Cadence is committed to keeping design teams highly productive with a range of support offerings and processes designed to keep users focused on reducing time to market and achieving silicon success.
Free Software Evaluation
Try our SDK Software Development Toolkit for 15 days absolutely free. We want to show you how easy it is to use our Eclipse-based IDE.
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Online Support
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