Groq to decode the economics of AI at TechSparks 2025
As AI systems grow larger and more capable, efficiency is becoming their greatest challenge. Groq’s masterclass at TechSparks 2025 will explore how to make intelligence faster, leaner, and more sustainable.
As AI systems grow more powerful, the challenge of running them efficiently is becoming one of the industry’s defining questions. Developers, enterprises, and policymakers alike are now grappling with the complex balance between cost, speed, and quality – three variables that determine how scalable and sustainable large language models (LLMs) can truly become.
At TechSparks 2025, Groq, the company pioneering ultra-low latency compute, will unpack this equation in a special 60-minute masterclass titled “The Economy of AI: Cost, Speed, and Quality Triangle in LLM Development”. The session, taking place on November 6, 2025, at Taj Yeshwantpur, Bengaluru, will be led by Amar Singh, GTM India Lead – Digital Natives at Groq, and DJ Biswas, AI Solutions Architect at Groq.
Drawing from Groq’s global experience in inference acceleration, the session will explore how AI teams can rethink design to achieve real-time performance while managing cost efficiency. The speakers will walk participants through the practical realities of deploying LLMs at scale covering trade-offs, sustainable compute choices, and the evolving economics of AI innovation.
For India, where the AI market is poised for exponential growth, conversations like these are especially timely. As businesses race to operationalise AI models, finding the sweet spot between performance and affordability will determine who leads the next wave of adoption. Groq’s masterclass aims to provide attendees with a realistic, engineering-led perspective on how to build faster, leaner, and smarter AI systems for production environments.
If you’re building, deploying, or investing in AI, this session offers a rare opportunity to learn directly from the experts driving the next generation of compute innovation.


