Live at Nvidia GTC 2026
Memory: the intelligence problem every major AI lab is quietly racing to solve
Even with infinite compute, a model is only as useful as the context it has access to at inference time.
Jensen's $1 trillion compute signal is the headline, but there's a second infrastructure problem just as critical being solved in parallel.
Even with infinite compute, a model is only as useful as the context it has access to at inference time.

Every major lab is working on this.
Here's the proof.






How is Mem0 solving this?
Mem0 gives AI agents real memory. Not RAG, not prompt stuffing. So they don't just get smarter over time, they get more you over time.
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Mem0’s mission is to be the LLM-agnostic memory layer giving developers full control over how memory is stored, retrieved, and used across any model, any framework, any application.










