Key takeaways ▼
Expensive EDA licenses should keep chip design moving. Yet when license activity and job queues live in separate systems, teams can struggle to understand why work is waiting, which tools are underused, and whether additional spending will solve the problem. Idle seats, checkout failures, and stalled jobs can consume budgets while engineers wait for the resources they need.
Join SemiWiki and Tuple Technologies for “Optimizing EDA License Utilization and Job Queues with Stratos AI Nitro” on Tuesday, November 10, 2026, from 10:00 to 11:00 a.m. PST. In this webinar, Anirudh Kothur, CTO at Tuple Tech, will demonstrate how Nitro brings license and job queue data into one live view, helping engineering, infrastructure, and procurement teams make informed decisions.
Find Opportunities to Reduce License Costs
The session will explore how teams can target 20–25% reductions in license costs by identifying underused tools, releasing idle seats, and matching spending to actual demand. You will see how usage evidence can support renewal negotiations, giving stakeholders a clearer basis for evaluating capacity and contract requirements.
Instead of relying on isolated snapshots, teams can examine live seat usage across license servers and attribute consumption to a team, project, or individual. That visibility helps answer practical questions: Who is using a scarce feature? Which projects drive demand? Where could existing capacity support more productive work?
Connect License Demand with Queue Performance
License availability is only part of the resource picture. Jobs also depend on healthy clusters, available nodes, and functioning scheduling infrastructure. Nitro’s native support for SLURM, LSF, and SGE connects queue activity with license metrics so administrators can investigate bottlenecks with more context.
The demonstration will cover cluster health, zombie jobs, and node monitoring, showing how a unified view can help teams understand where work is getting stuck. For CAD and IT engineers, this means a more direct path from a reported delay to the operational data needed to investigate it.
Respond to Problems and Ask Better Questions
The webinar will also examine Nitro’s alerting and incident management capabilities, including 24/7 escalation for checkout failures, capacity warnings, and license expirations. Notifications through Slack, Stratos Alerts, or email help route issues to the people responsible for resolving them.
With Ask AI, users can explore license and utilization data through plain-English questions. See how AI-powered analytics can help investigate license denials, examine P50/P99 metrics, and identify underused tools. The session will show how conversational access can make operational evidence easier to explore during troubleshooting and planning.
Explore Deployment Options and Enterprise Capabilities
Every organization has different infrastructure and governance requirements. Anirudh will walk through Nitro’s architecture, including MCP integration for AI assistants, the Nitro API, and self-hosted, air-gapped, or cloud deployment options.
You will also learn how Nitro Pro extends the platform for global enterprises through automated harvesting, chargeback, predictive warnings, and enterprise high availability. The comparison will help attendees assess which capabilities align with their organization’s scale and operational needs.
Who Should Attend?
This webinar is designed for ASIC engineering directors and managers seeking stronger evidence for contract negotiations; CAD and infrastructure engineers managing queues and license servers; procurement and operations professionals evaluating license spending; and IT and engineering leaders responsible for chargeback, governance, and AI integration.
Bring your questions about deployment, evaluation, and scaling. Whether your immediate priority is reclaiming idle capacity, investigating queue delays, or preparing for a renewal, this session will help you understand how Nitro and Nitro Pro can support the next step.
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