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World Congress 2026 North America • Sep 24, 2026 • Session details

Acquired Live Interview: Justin Boitano (VP, Enterprise AI Products, NVIDIA)

Justin Boitano , Ben Gilbert , David Rosenthal

Justin Boitano reveals how fine-tuned open-source AI now outperforms proprietary frontier models. Discover how NVIDIA's kernel-level infrastructure enables organizations to safely orchestrate millions of autonomous enterprise agents.

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#1 about 3 min

Evolving from a graphics company to accelerated computing leader

Returning to a rapidly scaling organization driven by a founder's long-term infrastructure vision.

#2 about 2 min

Transitioning the industry toward an era of automated agents

The technology stack is evolving to support automated agents that allow even young developers to build and collaborate.

#3 about 4 min

Securing artificial intelligence agents with kernel level deterministic controls

Enforcing network policies and file system access ensures automated systems only execute scoped tasks within regulated environments.

#4 about 3 min

Leveraging open foundation models for enterprise cybersecurity applications

Specialized organizations can post-train open models on domain specific data to outperform general frontier models at a fraction of the cost.

#5 about 4 min

Closing the intelligence gap between open and closed models

Fine-tuning near-frontier open models against specific business benchmarks enables enterprises to achieve performance that exceeds closed models.

#6 about 3 min

Balancing cloud infrastructure and internal artificial intelligence workstations

Organizations typically start by consuming external tokens for immediate results before adopting localized infrastructure and routers to reduce long-term costs.

#7 about 3 min

Deploying artificial intelligence in heavily regulated legacy enterprises

Utilizing confidential computing and open source models allows traditional companies to maintain strict data residency compliance while adopting new capabilities.

#8 about 3 min

Expanding open source resources and foundation models for developers

Providing open access to core libraries and diverse foundation models accelerates global market driven innovation across software and robotics.

#9 about 2 min

Promoting transparent infrastructure failure analysis through industry alliances

Cross-domain collaboration enables cybersecurity experts to trace agent actions and build more secure foundations after system escapes.

#10 about 3 min

Scaling consumer and enterprise communication through automated personal agents

Deploying millions of internal agents necessitates entirely new tools for large scale governance, observability, and automated inter-agent communication.

#11 about 2 min

Optimizing rack scale silicon infrastructure for specific model inference

Hardware providers must continually develop specialized kernels to maximize performance per watt for every newly released foundation model.

#12 about 2 min

Accelerating application development through open artificial intelligence harnesses

The rapid emergence of open source frameworks fundamentally shifts how developers build and manage transparent agentic systems.

Matching moments

6:25 min

Autonomous agents and unusual startup pivots

3:13 min

Embedding generative AI in enterprise software platforms

Mike Butcher Mike Butcher +3 · World Congress 2024

2:52 min

Designing agentic AI solutions for the enterprise

Damir Dobric · Coffee With Developers

2:20 min

Transitioning to AI-native engineering teams and workflows

Tomislav Tipurić Tomislav Tipurić +1 · World Congress 2026 North America

6:00 min

Navigating competition and infrastructure in enterprise AI

Ash Ryan Arnwine Ash Ryan Arnwine +3 · World Congress 2024

4:15 min

Security integration and AI skepticism in developer tooling

Chris Heilmann Chris Heilmann +2 · LIVE

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