Enterprise-Ready AI: Breaking Through the Infrastructure Barriers to Production
Across the Global 2000, most AI initiatives remain stuck in experimentation and proof-of-concept phases. The reasons are clear: GPU and accelerator costs remain high, hardware obsolescence cycles are accelerating, skilled infrastructure talent is scarce, equipment lead times are unpredictable, and many enterprises lack the power, cooling, and space required to scale AI infrastructure.
This session examines how the vendor ecosystem is responding with new silicon, system architectures, networking fabrics, managed AI infrastructure, and consumption models designed to reduce risk and accelerate enterprise adoption. The discussion will focus on how enterprises can move beyond experimentation to deploy production AI infrastructure that enables true business transformation and competitive advantage.
Key Questions
- What are the biggest infrastructure barriers preventing enterprises from moving AI projects from PoC to production?
- How are vendors addressing cost, obsolescence risk, and supply chain constraints in AI infrastructure?
- What new architectures (accelerators, networking fabrics, composable infrastructure) are emerging to make AI more enterprise-ready?
- Can new consumption models—AI infrastructure-as-a-service, managed GPU clusters, or hybrid deployment models—reduce capital risk?
- How should enterprises plan infrastructure investments when the pace of AI hardware innovation is so rapid?
Takeaways
- A clear view of the real infrastructure headwinds slowing enterprise AI adoption today.
- Insight into new vendor innovations in silicon, networking, and system design aimed at reducing cost and deployment friction.
- Practical guidance on how enterprises can build AI infrastructure strategies that minimize risk while enabling large-scale transformation
Eric Hanselman is the chief analyst at S&P Global Market Intelligence. He coordinates industry analysis across the broad portfolio of technology, media and telecommunications research disciplines, with an extensive, hands-on understanding of a range of subject areas, including information security, networks and semiconductors and their intersection in areas such as AI, 5G and edge computing. Eric helps S&P Global’s clients navigate these turbulent waters and capitalize on potential outcomes. He is a member of the IEEE, a Certified Information Systems Security Professional (CISSP) and a VMware Certified Professional. He is also a frequent speaker at leading industry conferences and hosts the Next in Tech technology podcast.
Marc Austin is the Chief Executive Officer and founder of Hedgehog. Marc is a fox who knows many things and a hedgehog who knows one big thing. As a Hedgehog he knows that millions of cloud operations teams will use Hedgehog AI networks to train and fine tune AI models for inference at the data edge. As a fox he knows many things from his experience leading mass-scale automation strategy at Cisco, Internet of Things networking at Jasper, digital media delivery at Amazon, mobile application development founding Canvas, the birth of smartphones at AT&T, early mobile ride sharing founding Mobiquity, internet search at Infoseek, e-commerce at Internet Shopping Network and leading people through adversity in the United States Army.
Hasan Siraj is Vice President, Product Management at Broadcom, where he oversees product
management across the company’s routing, switching & high-performance NIC
portfolio—including Tomahawk, Trident, Jericho and Thor Ultra NIC. Additionally, he drives
Broadcom’s open networking and open-source strategy. He works closely with hyperscalers,
enterprises, service providers, OEMs, and ODMs to build a thriving ecosystem around
Broadcom silicon. Hasan is also facilitating the build-out of some of the world’s largest AI
infrastructure deployments and expanding Broadcom’s merchant silicon into adjacent markets
through strategic partnerships and new go-to-market models. Prior to Broadcom, he led Cisco’s
Enterprise Routing and Switching teams. He holds a Master’s in Electrical Engineering from
Cornell University and an MBA from The Wharton School.
Prathyaya Bhandarkar is currently working for Marvell Technologies as Senior Director of Product Management. He is a seasoned professional in the Computer Networking Industry, with a wealth of experience spanning Systems, Software Development, Product Management, and Leadership. With a proven track record, Prathyaya has held pivotal roles as both a Product Manager and a Product Architect, specializing in cutting-edge domains like DC-Networking, Edge Networking and Open Networking Software. His leadership shapes Marvell’s system and software strategy for Data Center networking.
