In this episode of the Thought Media Podcast, Ava and Max explore a major breakthrough from Alibaba Cloud that’s shaking up the AI infrastructure world. Their new system, Aegaeon, has achieved something remarkable: it reduced Nvidia H20 GPU usage by 82%, cutting down from 1,192 to just 213 GPUs while maintaining the ability to serve large language models (LLMs) at scale.
Unveiled at SOSP 2025, Aegaeon enables dynamic GPU sharing across seven AI models, delivering 9x greater efficiency and cutting model switching delays by 97%. The result? Lower costs, higher throughput, and greater scalability—critical factors for enterprises and cloud providers alike.
But this innovation is also strategic. As U.S. chip export restrictions tighten, Chinese tech giants like Alibaba are under pressure to optimize what they already have. Aegaeon is a direct response to that constraint—showcasing how software orchestration and resource management are just as important as raw hardware.
Ava and Max also connect the dots to previous episodes—like the NVIDIA DGX Spark launch—and explain how Thought Media builds scalable, future-proof systems with the same mindset: modular design, efficiency at scale, and adaptability to hardware and policy shifts. If you’re building AI products or platforms, this is a must-listen.