![]()
By Andy Nightingale, VP of Product Management and Marketing
As AI adoption accelerates across markets, including automotive ADAS, large-scale compute, multimedia, and edge intelligence, the foundations of system-on-chip (SoC) designs are being pushed harder than ever. Modern AI engines generate tightly coordinated, data-intensive activity that places enormous stress on on-chip bandwidth and overall system efficiency. This pressure on data movement increasingly turns traditional interconnects into bottlenecks. Network-on-Chip (NoC) technology has emerged as an enhanced architectural solution that improves scalability, enablin…
![]()
By Andy Nightingale, VP of Product Management and Marketing
As AI adoption accelerates across markets, including automotive ADAS, large-scale compute, multimedia, and edge intelligence, the foundations of system-on-chip (SoC) designs are being pushed harder than ever. Modern AI engines generate tightly coordinated, data-intensive activity that places enormous stress on on-chip bandwidth and overall system efficiency. This pressure on data movement increasingly turns traditional interconnects into bottlenecks. Network-on-Chip (NoC) technology has emerged as an enhanced architectural solution that improves scalability, enabling teams to meet performance, power, and integration goals.
To address these challenges, teams are reevaluating the structure of on-chip communication, bringing physical considerations into NoC planning early in the flow, rather than treating physical implementation as a later, isolated step.
Arteris and AION Silicon recently partnered to present a webinar focused on physically aware SoCs and silicon-proven NoC deployments. The session, titled “Considerations When Architecting Your Next SoC: NoC,” is now available on demand and offers engineers practical, experience-based insights into NoC methodology, performance modeling, and real-world implementation.
Webinar Takeaways:
- Deep Technical Insights Into AI-Driven SoC Requirements How emerging AI compute patterns shape data movement, coherence, and predictability—creating a clear need for scalable, high-performance NoCs.
- Comprehensive Exploration of NoC Topology Choices How adaptable topologies align with floorplans and system objectives, and how topology decisions influence SoC behavior.
- Physically Aware NoC Methodology How teams use Arteris FlexNoC to guide early architectural decisions, streamline integration, and achieve timing closure with predictable results.
- Performance Modeling and KPI-Driven Analysis How modeling helps evaluate system-wide tradeoffs across compute, memory, and interconnect—ensuring decisions optimize whole-chip execution rather than isolated blocks.
- Real Examples From Production-Class SoCs Case studies showing how advanced NoC design accelerates development, including comparisons between automated FlexGen flows and manual approaches.
- Actionable NoC Deployment Best Practices A structured look at the complete NoC deployment process, including coherency strategies, power and clock coordination, and complexities introduced by multi-die architectures.
- Strategic Competitive Advantages for Engineers How optimized NoCs improve design robustness and scalability, and how proven tooling and integration practices enable teams to move faster with greater certainty.
Why This Matters Now
Achieving cohesive, efficient SoCs depends on interconnect solutions that support both architectural goals and physical implementation realities. NoC technology provides the structured, scalable framework required to coordinate complex on-chip communication with confidence.
The on-demand webinar, featuring Arteris and AION Silicon, offers practical guidance based on production experience. Viewers will gain a clear understanding of how a disciplined NoC strategy strengthens system integration and improves predictability in advanced AI-driven SoCs.
If you’re planning an AI-focused chip, this is a session you won’t want to miss.
Presenters:
Andy Nightingale, VP of Product Management and Marketing at Arteris
Piyush Singh, Principal Digital SoC Architect at AION Silicon
Also Read:
Share this post via: