WEBINAR: Reconcile Design Cost Reduction & Eco-design Criteria for Complex Chip Design Projects

As chip design complexity keeps increasing, the challenge of managing costs becomes a pressing concern for companies of all sizes. Efficient resource management is emerging as a critical lever for controlling design expenses and ensuring project success.

The chip design market increasingly demands automated solutions for resource prediction, planning, and analysis. Among these, AI-based technologies hold great promises for transforming resource management, enabling companies to make data-driven decisions that optimize their processes.

“How to Track and Predict Design Resources for Complex Chip Design Projects by Including Jointly Cost and Sustainability.”

On January 21^st (10:00AM PST).

The Shift to Cloud-Based Computing: Is It Predictable?

Modern chip design trends show an increasing reliance on cloud-based computing servers. Yet, a vital question arises: Can companies accurately predict when to transition from on-premise to cloud-based resources?

INNOVA provides a clear, AI-powered answer through its innovative Project Design Manager (PDM) tool. This solution simplifies three essential steps in resource management:

1. Model Training – Using historical data to create predictive models.
2. Model Selection – Identifying the most suitable model for a specific context.
3. Resource Time Prediction – Forecasting CPU, memory, and disk requirements with precision.

With its robust tracking capabilities, INNOVA’s PDM monitors the usage of critical resources such as EDA tools, servers, libraries, and engineering assets. It seamlessly integrates with existing IT environments and interoperates with standard project, license, and server management tools, ensuring secure and effective operations.

Streamlined Implementation and AI-Driven Predictions

Once installed, INNOVA’s PDM makes resource prediction straightforward. Its intuitive interface allows users—even those without deep AI expertise—to select appropriate ML models, execute predictions, and generate comprehensive reports. These reports compare real-world data with predictions, enabling teams to make informed adjustments to their resource strategies.

Unified Project and Design Management for SoC Design

INNOVA’s Project and Design Management (PDM) platform combines project management, design flows, and resource optimization into a single, unified software environment. Designed for multi-user accessibility, PDM is suited to design project managers, engineers, purchasing teams, and HR departments. Key features include:

• Scalability and Integration: Easily interfaces with existing information systems and software tools, ensuring consistent data throughout the project lifecycle.
• Real-Time Synchronization: Keeps design data and flows up to date, offering traceability of resource usage.
• Interoperability: Bridges software and hardware needs, managing both design licenses and computational servers effectively.

By offering real-time insights and seamless compatibility with existing tools, PDM simplifies the complexities of managing design entities such as projects, data, servers, and licenses.

Driving Sustainability in Chip Design

INNOVA extends its value by integrating sustainability metrics into the design process. PDM evaluates design configurations—encompassing workflows, resources, and power consumption—to ensure eco-compliance. Its automated measures enable users to identify configurations that fulfill sustainability criteria, providing a clear differentiation between eco-friendly and less efficient options.

Through these capabilities, INNOVA empowers organizations to reduce environmental impact while optimizing resource allocation, ensuring that modern chip designs are not only innovative but also sustainable.

Conclusion

INNOVA’s PDM represents a revolutionary step forward in managing the complexity of chip design projects. By combining AI-driven predictions with unified project management and sustainability tools, it addresses the critical challenges of cost reduction, resource optimization, and environmental compliance. With INNOVA, design teams can confidently navigate the demands of modern chip development while achieving their strategic goals.

To explore these advancements further, join INNOVA’s upcoming webinar:

“How to Track and Predict Design Resources for Complex Chip Design Projects by Including Jointly Cost and Sustainability.”

On January 21^st (10:00AM PST).

Don’t miss this opportunity to gain valuable insights into sustainable chip design practices. The webinar is held in partnership with SemiWiki and INNOVA.

Register now and the replay will be sent to you if you are not able to attend live.

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