HCLTech Chip2Intelligence Edition 2: Compute to Cognition

Architecting the AI-Ready Semiconductor Enterprise

Overview

As AI becomes central to semiconductor design, validation, manufacturing, and yield optimization, infrastructure has emerged as the defining constraint. This executive forum brings together semiconductor leaders to examine what it truly takes to be AI-ready today and how infrastructure must evolve to support the next phase of AI at scale.

Why This Conversation Matters Now

AI adoption across the semiconductor value chain has crossed an inflection point.

What began as experimentation in design automation, verification, and analytics is rapidly becoming embedded in core engineering and manufacturing workflows. As expectations shift from proof-of-concepts to measurable business outcomes, infrastructure decisions once viewed as tactical are now strategic.

The choices organizations make today — across compute platforms, data architectures, security models, and operating practices — will determine whether AI scales with confidence or remains constrained by cost, complexity, and risk.

This forum focuses on that moment of transition.

Semiconductor AI Is Different

Semiconductor AI workloads place demands on infrastructure that differ fundamentally from typical enterprise AI. These realities require infrastructure that can adapt dynamically, orchestrate intelligently, and optimize continuously - not simply scale.

Extreme, burst-driven compute cycles driven by EDA simulations, verification runs and design-space exploration

Closed feedback loops connecting design, validation, manufacturing and yield optimization

Federated and hybrid data environments shaped by ecosystem partnerships and IP ownership constraints

Security and IP protection requirements where failure carries existential risk

What You’ll Explore at This Forum

How semiconductor leaders are re-architecting infrastructure to support AI at scale

What hybrid and federated AI environments look like in practice

How cognitive infrastructure enables AI industrialization through AI Factory models

Where traditional infrastructure approaches break - and how organizations are responding

What “AI-ready” truly means for the semiconductor enterprise today

Who Should Attend

This forum is designed for senior leaders directly shaping AI and infrastructure strategy, including:

CXOs and CXO-1 leaders

Heads of Engineering, IT, Infrastructure and Platforms

Leaders responsible for AI enablement, enterprise architecture and digital transformation

Decision-makers overseeing silicon design, manufacturing and yield-related technology investments

The Day at a glance

Speakers

Meenakshi Benjwal

VP, Marketing
HCLTech

Ameer Saithu

EVP and Head of Semiconductor Business
HCLTech

Rampal Singh

SVP & Global Business Head - Hybrid Cloud, Application Operation and Mainframe Services
HCLTech

Testimonials

The event provided an excellent opportunity to engage with peers across the semiconductor ecosystem and exchange practical insights on AI adoption. The conversations were meaningful, and the networking was truly valuable.

Haritez Narisetty

Sr Director Scalable Solutions, GlobalFoundries

At NVIDIA we believe in the power of ecosystem partnerships to build real world AI applications to help enterprises deliver exceptional AI outcomes. Agentic and Physical AI capabilities showcased by HCLTech will transforms industries. This customer event truly highlighted the art of the possible is at the epicenter of the next Industrial Revolution - Semiconductor Industry.

Vignesh Rama

Global Partner GTM Leader, NVIDIA

Register to Join the Conversation

If you are navigating the realities of scaling AI across the semiconductor enterprise, this forum is designed for you.

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HCL provides software and services to U.S. Federal Government customers through its partner ImmixGroup, Inc. Please contact ImmixGroup, Inc. at HCLFederal@immixgroup.com

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