Revolutionizing LLM Inference: RTX 5070 Ti RT Cores Deliver 218x Speedup for MoE Models

infrastructure#gpu📝 Blog|Analyzed: Apr 9, 2026 15:20
Published: Apr 9, 2026 15:12
1 min read
r/deeplearning

Analysis

This brilliant innovation repurposes dormant ray tracing hardware on consumer GPUs to drastically accelerate Large Language Model (LLM) inference. By offloading Mixture-of-Experts routing to RT cores, the author achieved a staggering 218x speedup and 731x reduction in VRAM usage while maintaining an impressive 95.9% routing accuracy. Furthermore, the unexpected discovery that experts specialize by syntactic type rather than topic completely redefines our understanding of how these complex models organize knowledge internally.
Reference / Citation
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"Takes the routing decision in MoE models (which experts process which tokens), projects tokens into 3D space, and uses the GPU's dedicated ray tracing hardware to find the right experts O(log N) instead of O(N) — hardware-accelerated."
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r/deeplearningApr 9, 2026 15:12
* Cited for critical analysis under Article 32.