Rajalakshmi Srinivasaraghavan: Optimizing AI from Silicon to Software

"From hardware accelerators to software optimization, Rajalakshmi Srinivasaraghavan on building systems that make artificial intelligence smarter and more efficient."

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We all want better and faster AI. Rajalakshmi Srinivasaraghavan is trying to do just that by turning complexity into performance. With expertise spanning AI, hardware enablement, and system optimization, she is bridging the gap between hardware and high-performance AI software.

Making AI Smarter and Faster

Rajalakshmi's work focuses on enabling AI workloads across diverse hardware platforms.

Enthusiastic about the mathematical foundations of AI, at the centre of her contributions is IBM POWER architecture, where she has optimized AI accelerators and Matrix Multiply Assist (MMA) features, critical tools that speed up the large-scale calculations AI depends on. Her optimizations have reduced latency and boosted throughput, making enterprise AI applications faster and more efficient.