Twinkll Sisodia
Twinkll Sisodia is a Senior Software Engineer at Red Hat, where she has been contributing for the past five years. She specializes in building AI applications and leading cutting-edge projects in collaboration with Red Hat partners. Currently, she is working on AI observability initiatives, including the development of the open-source AI Metric Summarizer blueprint, which combines Prometheus and large language models to generate actionable insights from AI system metrics. Twinkll is also a passionate advocate for sustainability, often speaking about the intersection of AI and climate change—emphasizing both AI’s potential to combat the climate crisis and its hidden environmental costs. She is committed to advancing responsible, sustainable, and observable AI innovation.
Senior Software Engineer
Company or affiliation –Red Hat Inc.
Session
Artificial intelligence is revolutionizing industries, from healthcare to education — but few realize it’s also quietly heating the planet. Training massive AI models like GPT-4 or Gemini requires immense computational power, leading to carbon emissions on par with major industries.
In this talk, we’ll uncover the hidden environmental cost of AI development, with real-world examples of the carbon footprint behind today’s most popular models. More importantly, we’ll explore how the emerging “Green AI” movement is pushing for more sustainable practices, including efficient model design, renewable-powered data centers, and carbon-conscious AI innovation. Attendees will walk away with a deeper understanding of why building a smarter AI future must also mean building a greener one — and how they can be part of that change.