Unverified50% confidenceFactExact time
Betelgeuse uses an in-stream CUDA kernel to resolve expert hits on-device in about 2µs, notifying the host via a doorbell only when an expert is missing, so that the entire decoding process runs as a single CUDA Graph replay, avoiding the roughly 360ms cudaStreamSynchronize overhead per token.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/31/2026
First Seen
Valid until: 1/29/2027
Sources
Running a 68GB Large Model on a 12GB GPU: Betelgeuse Engine Benchmarked at 22 tok/s
redditr/LocalLLaMA10/31/2026
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Related Claims
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