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Semiconductor Engineering
Automotive, AI and industrial sectors are demanding faster, more sustainable semiconductor innovation and collaboration across the ecosystem, from chip design to fab operations
A global enterprise accelerated product engineering transformation by shifting to an AI‑led, full‑stack ownership model, modernizing legacy platforms while preserving customer stability.

Through the collaboration between Intel-powered AI endpoints and HCLTech’s Fluid AI Workplace, enterprises are embedding intelligence at every layer of operations.
Accelerating AI innovation with advanced custom SoC design, discover how HCLTech enabled first-pass silicon success at 20B-transistor scale.
Discover how edge AI for retail and retail edge computing enable real-time insights, smarter shelves and efficient store operations with edge computing for retail.

With traditional transistor scaling slowing down, the semiconductor industry is pivoting to chiplet-based architectures and advanced packaging to deliver scalable, efficient performance for AI and HPC

As AI demand reshapes compute economics, chip teams are rethinking architectures, tooling and security to deliver performance, predictability and adoption at scale
Vijayaprabhuvel Rajavel of HCLTech on DFT, testing, silicon trust dependable
A bold transformation story of how a global enterprise is building an AI-powered, automation-first infrastructure to achieve zero downtime, smarter operations, and future-ready scale.
Adaptive, secure, and governed infrastructure for semiconductor AI—built to handle compute spikes, hybrid data, and IP risks while enabling AI to scale from pilots to enterprise-wide capability
As chips move into safety-critical and AI-intensive systems, design-for-testability (DFT) and robust testing are now core to silicon reliability and customer trust

Partnership focuses on co-developing energy-efficient chips to meet rising performance and sustainability needs across IoT and data centers.