NVIDIA RT Cores Offer Incredible 218x Speedup for Mixture of Experts Routing
infrastructure#gpu📝 Blog|Analyzed: Apr 10, 2026 09:20•
Published: Apr 10, 2026 09:13
•1 min read
•r/deeplearningAnalysis
An exciting new discussion is highlighting a massive 218x speedup in Mixture of Experts (MoE) routing by cleverly projecting tokens into 3D space to leverage NVIDIA's RT Cores. This highly innovative approach uses ray-triangle intersection to brilliantly accelerate nearest-expert searches, opening up thrilling new paradigms for AI hardware optimization. It sparks wonderful conversations about how we might further repurpose dedicated graphics silicon to push the boundaries of Large Language Model (LLM) performance and Inference efficiency.
Key Takeaways
- •MoE routing can see up to a 218x speedup by reframing the task as a spatial search using RT Cores.
- •Tokens are projected into 3D space to utilize ray-triangle intersection for finding the most relevant experts.
- •This breakthrough opens the door to exploring other deep learning operations, like sparse attention, as spatial search problems.
Reference / Citation
View Original"So there's a post floating around right now claiming 218x speedup on MoE routing by projecting tokens into 3D space and using RT Cores to find nearest experts via ray-triangle intersection."
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