The new AI infrastructure equation: performance, power and profitability
In an interaction with Express Computer, Vinay Sinha, Managing Director, India Sales, AMD, discusses how enterprises can build cost-efficient, scalable and energy-conscious AI infrastructure by adopting a workload-centric approach, balancing CPUs and GPUs, and leveraging software optimisation to maximise performance and long-term value. He also examines the evolving economics of AI infrastructure in India and the priorities that will shape the next generation of AI-ready data centers.
Q. AI investments are accelerating, but enterprises are under pressure to justify returns. How is the conversation around AI infrastructure evolving from raw performance metrics to performance-per-dollar and business outcomes?
AI infrastructure decisions are increasingly moving beyond peak performance alone. Enterprises increasingly want to understand what each investment delivers in terms of business value, operating efficiency and costs over time.
This means metrics such as performance per dollar and performance per watt matter alongside raw compute performance. Hardware utilisation, software, networking, energy...
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