Jason Goodison is the Co-Founder and CTO of General Compute, an AI infrastructure company building one of the fastest inference clouds by leveraging alternatives to traditional GPUs to dramatically reduce latency and cost for AI workloads. The company is developing next-generation infrastructure that enables developers and enterprises to run large language models more efficiently at scale. Before founding General Compute, Jason launched SuperCall, where he built ultra-low-latency Voice AI agents for enterprises and scaled the company to $50,000 in monthly recurring revenue as a solo founder. He previously founded Pair AI, a Y Combinator-backed startup (W23), and spent more than three years as a Senior Software Engineer at Microsoft, where he helped build the distributed system responsible for compiling thousands of Windows builds every day. A Computer Science graduate of the University of Waterloo, Jason is also a prominent engineering educator who has helped thousands of software engineers through his technical content and developer community.Topics

• Why AI Inference Is the Next Major Battleground: Building Faster, More Cost-Efficient Infrastructure Beyond Traditional GPUs
• Lessons from Building Multiple AI Startups: Scaling Products from Zero to Revenue as a Technical Founder
• The Future of AI Infrastructure: How Developers Can Optimize Performance, Latency, and Cost for Large Language Models

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